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Job Description At Commure, our mission is to simplify healthcare. We have bold ambitions to reimagine the healthcare experience, setting a new standard for how care is delivered and experienced across the industry. Our growing suite of AI solutions spans ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management and more — all designed for providers & administrators to focus on what matters most: providing care. Healthcare is a $4.5 trillion industry with more than $500 billion spent annually on administrative costs, and Commure is at the heart of transforming it. We power over 500,000 clinicians across hundreds of care sites nationwide – more than $10 billion flows through our systems and we support over 100 million patient interactions. With new product launches on the horizon, expansion into additional care segments, and a bold vision to tackle healthcare's most pressing challenges, our ambition is to move from upstart innovator to the industry standard over the next few years. Commure was recently named to Fortune’s Future 50 list for 2025 and is backed by world-class investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and more. Commure has achieved over 300% year-over-year growth for the past two years and this is only the beginning. Healthcare's moment for AI-powered transformation is here, and we're building the technology to power it. Come join us in shaping the future of healthcare. About the Role We’re building a next-generation ambient AI platform for healthcare, helping clinicians focus on patient care by automatically capturing, understanding, and structuring clinical conversations in real time. Mobile is at the center of this experience. Our apps power long-form audio recording, real-time streaming, offline reliability, background sync, and AI-assisted clinical workflows in environments where reliability is mission-critical. This is not a CRUD app; we’re building new interaction patterns for AI-native healthcare software, including real-time transcription, multimodal clinical workflows, agentic actions, and offline-first care delivery. We’re hiring a Senior / Staff-level Mobile Infrastructure Engineer to help own and evolve the foundation of our mobile platform across iOS, Android, and cross-platform surfaces. You’ll work deeply on mobile architecture, performance, reliability, developer experience, CI/CD, observability, and native integrations — while also contributing to product-facing experiences when platform work intersects with clinician workflows. This is a highly leveraged role for someone with strong iOS and/or Android depth, cross-platform experience, and platform instincts. Today, our mobile application is primarily built in Flutter, with native Swift/iOS and Kotlin/Android integrations where platform-specific capabilities are required. This role is ideal for someone who brings deep native mobile expertise and is excited to apply that judgment within a cross-platform codebase. Flutter experience is helpful, but not required. What You’ll Do * Own and evolve our primarily Flutter-based mobile platform, including native Swift/iOS and Kotlin/Android integrations for audio capture, background execution, offline reliability, performance, and observability. Core areas include: * Real-time audio capture, streaming, chunked uploads, and long-form clinical recording * Offline-first data handling, local persistence, background sync, and recovery flows * App performance across startup time, responsiveness, memory, battery usage, and background execution * Mobile observability, crash reporting, error handling, logging, and regression detection * Release infrastructure, CI/CD automation, build systems, signing, and App Store / Play Store workflows * Build and improve foundational mobile frameworks used across our apps, such as: * Audio recording and processing abstractions * Caching and persistence layers * State management patterns * Navigation and component systems * Networking, retry, and sync primitives * Mobile observability and diagnostics tooling * Strengthen mobile reliability by systemically reducing crashes, improving release readiness, and preventing regressions before they reach clinicians. * Partner with product, backend, AI, and design teams to understand emerging infrastructure needs and unblock fast, reliable product development. * Help shape the technical direction for mobile architecture as we scale the Ambient AI product line. * Contribute occasionally to adjacent surfaces such as our Chrome extension and web app, primarily where mobile, audio, AI workflow, or platform infrastructure needs intersect. * Mentor other engineers and help raise the technical bar across mobile. There is an opportunity to grow into broader mobile technical leadership or people leadership over time, but management is not required for this role. What You Have * 5+ years of professional mobile development experience, with deep experience in iOS, Android, or both. * Strong native mobile expertise in Swift/iOS and/or Kotlin/Android, including app lifecycle, background execution, permissions, performance, and platform-specific constraints. * Experience working in, or a strong willingness to ramp into, a Flutter-based mobile codebase. We value deep native iOS and/or Android expertise, and Flutter experience is a plus rather than a hard requirement. * Experience building or maintaining production-grade mobile infrastructure at scale. * Experience working in cross-platform mobile environments, such as Flutter, React Native, Kotlin Multiplatform, shared native modules, or similar architectures. * Strong understanding of mobile architecture, release processes, CI/CD, testing, observability, and reliability best practices. * Experience improving app performance, crash rates, release quality, or developer velocity through platform-level investments. * Comfort working across product, backend, design, and AI engineering teams in a fast-moving environment. * Ownership mindset and strong bias for action — you’ve owned meaningful parts of a mobile stack and driven ambiguous infrastructure work to completion. Nice to Haves * Experience with audio/video streaming, real-time media pipelines, audio chunking, transcription, or background recording. * Experience with offline-first systems, sync engines, conflict handling, or resilient local persistence. * Experience with mobile observability tools such as Firebase Crashlytics, Sentry, Datadog, Amplitude, or similar. * Experience with Fastlane, Firebase App Distribution, TestFlight, Play Console automation, build optimization, or release automation. * Experience with AI-native product experiences, real-time transcription, multimodal workflows, or agentic user experiences. * Exposure to healthcare, HIPAA, SOC 2, security, encryption, privacy, or regulated mobile environments. * Flutter/Dart experience, including Riverpod or similar state management patterns. * Experience with Shorebird, CodePush, or other mobile over-the-air update platforms. * Light JavaScript, TypeScript, Chrome extension, or web app experience. Why Join * Own the mobile infrastructure behind a mission-critical AI healthcare product used in real clinical workflows. * Work on cutting-edge mobile + AI problems: real-time audio, streaming, offline AI workflows, multimodal UX, agentic actions, and clinical automation. * Help define what best-in-class AI-native healthcare applications should look and feel like. * Build platform foundations that directly improve clinician experience, product velocity, reliability, and patient care. * Join at a stage where mobile architecture, team culture, and technical strategy are still highly shapeable. * Grow into a broader mobile platform leadership role as the team and product surface area expand. Commure is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process. Please be aware that all official communication from us will come exclusively from email addresses ending in @getathelas.com, @commure.com or @augmedix.com. Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $170K - $240K

Job DescriptionAbout Loop: At Loop, we’re revolutionizing restaurant operations with AI-powered automation. Our technology helps restaurants streamline their workflows, reduce costs, and enhance customer experiences—all through intelligent automation. We’re a fast-moving, early-stage startup on a rapid growth trajectory, and we need a technical leader to build and scale our engineering team from the ground up. Role Overview:As a Staff Product Engineer, you will own a broad technical scope spanning frontend, backend, and AI systems. You’ll design, build, and scale features across the full product stack — from user-facing UI to robust backend services and AI-driven components. You’ll work directly with product, design, data, and leadership to deliver high-impact solutions that push our platform forward. This position is ideal for engineers who love building across the stack, enjoy solving complex problems, and want to deeply influence both product direction and technical architecture. Key Responsibilities: • Full-Stack Development: Lead design and implementation of scalable frontend architecture using modern web technologies. Translate UI/UX designs into responsive, accessible, and performant applications. Build and maintain backend systems and APIs to power core product functionality. Ensure smooth integration between frontend interfaces and backend services., • Architecture & Best Practices: Contribute to high-level architecture decisions across the stack.Create scalable, maintainable systems with high code quality. Apply critical thinking to propose innovative solutions and continuously improve technical processes., • Cross-Functional Collaboration: Partner with product managers, designers, and engineers to define and prioritize roadmap features. Participate in customer-focused discussions to understand pain points and translate them into technical solutions. Mentor and guide team members, championing best practices and high engineering standards., • AI Systems: Collaborate on AI-driven features, integrating models or intelligent workflows into platform components.Help design systems that support data pipelines, model inference, and AI feedback loops.Qualifications:, • 6+ years professional experience building production-grade software., • Solid backend experience — building services, APIs, and database integrations with Python, Django, or comparable stacks., • Demonstrated ability to work across frontend and backend contexts with clean, maintainable code., • Experience with version control, deployment pipelines, and performance optimization., • A proactive mindset and ability to work independently in a fast-paced startup environment. Nice to Have:, • Experience building or working with AI agentic workflows, including orchestration, tool usage, and multi-step reasoning systems., • Strong frontend expertise in React.js, including performance optimization and scalable component architecture., • Ability to think beyond pure engineering — strong business and product acumen., • Demonstrated curiosity and interest in working backwards from the customer, identifying real pain points, and translating them into technical solutions., • Passion for building end-to-end features that create measurable product impact. Why Join Us?, • Impact: Drive major product areas from inception to production., • Growth: Learn and contribute to both frontend, backend, and AI systems., • Ownership: Shape architecture and influence product strategy.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do To accelerate datacenter deployment and management, CoreWeave is expanding its firmware engineering team to focus on developing and maintaining OpenBMC-based firmware for our next-generation Baseboard Management Controllers (BMCs). As a Senior Firmware Engineer, you'll design, implement, and maintain embedded firmware features that enable secure, scalable, and reliable control across CoreWeave's high-performance compute infrastructure. You'll work independently on complex components, collaborate closely with cross-functional teams, and help set best practices for firmware quality and performance. Key Responsibilities • Design & Implement: Develop and enhance OpenBMC firmware in C++ for CoreWeave's custom server platforms, contributing to key subsystems such as sensor management, power and thermal control, networking, and system monitoring., • Integrate & Debug: Collaborate with hardware design, platform software, and reliability teams to integrate firmware with new hardware and validate performance across diverse environments., • Optimize: BMC Performance and Harden Security, • Root Cause Analysis: Perform deep system-level debugging using tools such as GDB, JTAG, or logic analyzers to resolve cross-layer issues between hardware, firmware, and OS., • Automate & Validate: Contribute to continuous integration and automated testing frameworks for OpenBMC build and validation., • Document & Share: Maintain clear technical documentation and participate in design reviews to ensure consistency and maintainability across the firmware codebase., • Collaborate Broadly: Partner with other ICs and technical leads across CoreWeave's infrastructure engineering, hardware design, and operations teams to align firmware capabilities with platform and datacenter goals. Who You Are Minimum Qualifications • Experience: 4+ of professional experience in firmware or embedded systems development, including direct work with Linux-based OpenBMC firmware., • Proficiency in C/C++ for embedded systems., • Hands-on experience with OpenBMC, Yocto Project, and embedded Linux environments., • Familiarity with hardware interfaces and protocols (I2C, SPI, UART, GPIO, IPMI, DMTF Redfish), • Experience with hardware bring-up, board-level debugging, and sensor integration., • Comfort with Linux kernel configuration, device trees, and BSP-level integration., • Working knowledge of source code control system such as Git, • Comfort with debugging tools such as GDB JTAG and debugging over serial or remote consoles., • Basic scripting skills in Python or Bash for build automation and validation., • Strong problem-solving and analytical thinking; able to break down complex system-level issues., • Communicates effectively with peers across hardware, firmware, and operations teams., • Self-driven with a focus on delivering high-quality, maintainable code., • Thrives in a fast-paced environment and balances multiple priorities effectively.Preferred Qualification, • Experience developing CI/CD pipeline for firmware builds and regression testing, • Exposure to large-scale datacenter or HPC environments What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCompany Description This is a fully remote role in the US for EST and CST time zones. Very Important for you to understand - Our goal is to help you set up a 30-minute conversation with the Founder and CEO of our SaaS client, who's a rapidly growing Series A SaaS based in New York City. This role is built for a true hunter who thrives on sourcing their own pipeline, not waiting for it. You will own the full sales cycle from prospecting to close. You will be responsible for generating your own leads, breaking into new accounts, and consistently hitting and exceeding a $1M quota in the mid-market segment. This is not a plug-and-play environment. You will help build and refine the sales motion as you go, documenting what works and contributing to a repeatable process. Success here is measured by your ability to create opportunities, win business, and drive results. For top performers, this role is also a clear path to growth. As you prove success in mid-market, you will have the opportunity to step into enterprise selling and help build that motion as well. Are you looking to lead AI Transformation in the Architecture, Engineering, and Construction (AEC) Industry? The Architecture, Engineering, and Construction industry is one of the largest and most complex sectors in the world. It manages billions in capital projects, thousands of moving parts, tight timelines, and razor-thin margins. Yet much of it still runs on fragmented systems, spreadsheets, and reactive decision-making. This is about to change. Our SaaS client is building the category-defining AI platform purpose-built for the 20,000 largest AEC firms across North America. Their mission is to give leaders real-time visibility into resource allocation, forecasting, workforce planning, and financial performance, enabling them to operate with precision. The opportunity is massive: • 20,000 enterprise and upper-mid-market AEC firms, • Billions in annual project spend If you want to dominate a defined vertical, engage enterprise decision-makers, and build something category-leading in AI-powered planning, this is your arena. Our client is an AI-driven SaaS platform transforming workforce intelligence and operational planning for modern organizations. Founded just over five years ago, our client has grown to 50+ employees and was recently ranked on the Inc. 5000 as one of the fastest-growing software companies in the country. Their platform replaces spreadsheets and legacy tools with a unified, AI-powered system that connects workflows, integrates with existing software ecosystems, and delivers real-time visibility into how organizations allocate and optimize their people. The company has achieved strong market validation, rapid revenue growth, and industry recognition, positioning it for continued expansion into larger mid-market and enterprise accounts. If you have experience selling complex SaaS products in high-growth startup environments and want meaningful ownership in the next stage of scale, this is your opportunity. Culture This is a high accountability, high ownership startup environment. You will work directly with the Founder and the CRO, contributing not only to revenue execution but to defining the mid-market strategy itself. They are intentionally looking for sales professionals who have succeeded in Series A, B, or C environments, selling technically complex software. Benefits • Equity, • Medical, dental, and vision coverage, • 401k with company match, • Team events and collaborative culture, • Real opportunity for upward mobility as the company scalesJob Description Our client is hiring three Mid-Market Account Executives who can sell complex, full-platform SaaS solutions and operate in a high-growth startup environment. You will sell a technically complex platform and will work directly with the founder and CRO to shape the mid-market strategy. This is not a plug-and-play role inside a fully built sales machine. We are looking for disciplined, metrics-driven sales professionals who have experience navigating multi-stakeholder buying processes for technically complex products. Responsibilities • Own the full sales cycle from outbound prospecting through close., • Drive new logo revenue in the mid-market segment., • Run in complex buyer environments and multi-stakeholder deals., • Close platform SaaS deals in the $30K-$60K ARR range., • Consistently achieve or exceed annual quota ($1M-$1.2M)., • Partner closely with Sales Engineering and Leadership., • Help refine and mature the mid-market sales motion.Qualifications, • 5-10 years of B2B SaaS full-cycle sales experience / closing new clients (not existing)., • Proven experience closing mid-market deals in the $30K-$60K ARR range with a track record of meeting or exceeding annual quotas of at least $1.1M., • Proven success in startup environments. You've already been successful in a startup before., • Experience selling full platform SaaS products such as CRM, ERP, project management, workflow systems or similar software with tech complexity., • Highly preferred but not required: Experience selling in the Architecture, Engineering, and Construction (AEC) industry or similar to this industry., • Ability to clearly articulate your personal sales framework and why buyers purchase from you., • Comfortable navigating longer, multi-stakeholder sales cycles., • Highly independent, self-motivated, and entrepreneurial. We value your time and move efficiently. The full process is designed to take approximately 2-3 weeks from initial conversation to decision. Step 1: Introductory conversation with the Head of Talent Acquisition at SaaS Talent Step 2: 15-30 minute phone call with our client’s Founder Step 3: 45-minute Zoom sales interview with their Sales Solutions Engineer Step 4: 1-hour in-person interview with their Founder and CRO Then, 2 to 3 professional references from direct managers. Then an offer. Final decisions are made quickly following the in-person meeting. Additional Information About SaaS Talent SaaS Talent is more than just a recruiting company. We're your hiring, business development and growth partner with 20+ years of experience in SaaS and Hi-Tech that helps you scale and transform your business. We've worked with 100+ companies and helped them achieve their goals. From streamlining sales, marketing, and operations to hiring ideal talent and getting funding, if you're struggling to grow, we're an ideal choice. Reach out to us at to learn more about how we can help you. SMS Communication Consent Disclaimer By applying for this position, you agree to receive text message updates from SaaS Talent related to job opportunities. Standard message and data rates may apply, and messaging frequency varies. Text HELP for help and STOP to cancel. Learn more about our opt-in SMS Communication consent policy here:

Job DescriptionWho we are Findigs is on a mission to make renting work for all of us. Renting is one of life’s most critical experiences, yet the process is often slow, opaque, and unfair. We’re changing that by building the first end-to-end platform that turns complex screening into a seamless, high-trust experience for both property managers and renters. We’re growing fast – fueled by $78M in funding from the investors behind companies like Affirm, Gusto, and Uber. With a data-backed product that allows our customers to make smarter, more predictable decisions, and a team dedicated to transparency and precision, we’re not just improving the rental process; we’re setting the new standard for the entire industry. We’re aiming to double our impact this year, and we need builders, thinkers, and problem-solvers to help us scale. If you’re ready to modernize one of the most essential industries, we’d love for you to be a part of it. The Role As a Lead Software Engineer, you will play a pivotal role in delivering innovative and high-impact software. You will own durable systems, collaborating with strategic partners to implement functional solutions across various systems. You’ll also enable event orchestration and data access across internal and external systems, powering our other internal Engineering teams to drive the property management industry forward. Additionally, you'll have the opportunity to occasionally collaborate and problem-solve with our customers directly, gaining firsthand insights to refine and enhance our solutions. As a Lead Engineer, you will also be responsible for mentoring other Engineers, working to up-level their skillsets and helping to create a strong team dynamic. Our tech stack includes: Python, Django, Typescript, React, Temporal.io, Postgres, and more. Please note, we are unable to sponsor or take over sponsorship of an employment Visa at this time.Where you'll make an impact: • Lead the design, development, and deployment of end-to-end web applications and services., • Collaborate with cross-functional teams including Product, Data Science, Compliance, and Security to define, scope, plan, and release projects., • Build for scale, availability, performance, and security for customer-facing applications., • Architect and own new features in our ecosystem, collaborating with other Engineers to integrate frontend and backend systems., • Provide robust technical documentation, code reviews, and promote best practices., • Monitor performance, debug issues, and ensure operational excellence., • Make key prioritization decisions with limited supervision., • Keep abreast of industry trends and ensure the company is taking advantage of the latest technologies and best practices.We'd love to hear from you if you have:, • 8+ years of professional software engineering experience., • 1+ years of experience in a technical leadership role., • Strong knowledge of API integration best practices (RESTful, GraphQL, SOAP)., • Experience with cloud infrastructure (AWS, GCP, or Azure) and modern DevOps best practices., • Hands-on experience with CI/CD pipelines, automated testing, and test-driven development practices., • Proven ability to work independently and as part of a team, collaborating across departments., • Excellent troubleshooting and problem-solving skills.Nice-to-haves:, • PropTech/FinTech experience, • Startup experienceWhat we offer:, • Location: We operate on a hybrid schedule (3-4x times in-office per week), with core collaboration days on Monday, Tuesday, and Thursday at our newly renovated NoHo office., • Mission-Driven Culture: A collaborative, high-impact workplace where we challenge each other to grow, innovate, and drive meaningful change., • Competitive Compensation: Competitive base salary + Pre-IPO equity., • Generous Time Off: We trust our team to manage their own time and workload. That's why we offer a Unlimited Paid Time Off (PTO) policy, allowing you to take the time you need to rest and recharge. We also observe all-company holidays.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. We are seeking a skilled Platform Engineer to join the Core Compute team. This role is central to the design, development, and maintenance of our end-to-end Compute Platform. Responsibilities include provisioning, maintaining, and optimizing the platform, as well as creating the interfaces and tooling that enable our internal users to run critical production services, internal tooling, and facilitate AI Agent and model training. About the Compute Platform Team The Compute Platform team's goal is to deliver an intuitive, performant, and cross-language environment for hundreds of services across StubHub. We own the platform that empowers developers to accelerate their work and focus on business objectives by abstracting and automating complex, common concerns. This includes deployment, configuration, service discovery, and day 2 operations for their entire service fleet. We operate the Platform as a product, not a service desk, promoting self-service, providing "easy buttons," and fostering empowerment over rigid controls and gates. Location: Hybrid (3 days in office/2 days remote) – New York, NY What You'll Do: • Platform Evolution & AI Readiness: Advance our core compute platform, primarily EKS in AWS, to facilitate rapid iteration and development driven by AI and Agentic development workflows., • Developer Enablement: Boost engineering efficiency and productivity by designing and building powerful, reusable tools, including high-leverage SDKs, services, and shared packages., • Simplification & Velocity: Maximize developer velocity and minimize cognitive load by creating intuitive platform interfaces and abstractions that simplify underlying complexity., • Strategic Partnership: Serve as a strategic partner and consultant to engineering teams, proactively identifying technical bottlenecks and architecting lasting, scalable engineering solutions., • Performance & Reliability: Lead initiatives to enhance the platform's performance, reliability, and scalability through dedicated automation and robust tooling., • Quality and Best Practices: Champion high standards of quality and efficiency by promoting and enforcing software development best practices across the organization., • High-Velocity Execution: Thrive in a fast-paced environment, skillfully managing and prioritizing multiple concurrent, complex technical initiatives., • Professional Software Development: 2-3+ years of hands-on experience in software development., • Core Programming Expertise: Experience developing robust, mission-critical systems using one or more general-purpose programming languages (e.g., Java, C#, Python, Go)., • Cloud Infrastructure & DevOps: Proven ability to build and manage multi-tenant cloud infrastructure utilizing Infrastructure as Code tools such as Terraform or Crossplane., • System Design & Optimization: Expertise in designing and optimizing large-scale, distributed, and multi-tenant environments, with a focus on enhancing scalability, reliability, and performance., • Impactful Problem Solving: Demonstrated experience in designing and developing solutions to complex problems that deliver significant business impact., • System Ownership & Context: Strong understanding of how developed systems interact within the broader production environment, including a deep grasp of dependencies and platform primitives., • Adaptability & Learning: Proven ability to quickly learn and adopt new coding languages, platforms, frameworks, and tools., • Communication & Collaboration: Excellent communication skills and a track record of effective collaboration with cross-functional teams., • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.

Job DescriptionAbout Clarion The hardest part of healthcare shouldn’t be getting an appointment. Today, medical staff drown in backlogs of calls, faxes, and scheduling requests. Patients struggle to get the right care at the right time, staff members burn out, and clinics lose billions in revenue. This isn’t a failure of care - it’s a failure of capacity. Clarion exists to solve this problem at scale. Our AI agents handle the patient journey from end-to-end; from scheduling and rescheduling appointments, to managing referrals and prescription refills. Our AI performs complex workflows with a human-like touch that patients love. We’ve raised $10M from Accel, Y Combinator, and Sequoia (Scout), along with founders from Ophelia, Medallion, and Counsel Health. We’re an in-person team based in New York City, moving quickly to ensure every patient gets the care they need. Why Join Us? * Solving a real-world challenge: We’re addressing a critical problem that affects millions of patients and providers daily. Our AI agents outperform human schedulers and restore the time needed to focus on patients. * Early-stage with strong market validation: We’ve seen 10x revenue growth in the last year alone. We handle millions of interactions for customers ranging from virtual care clinics to a $5B health insurance company. * Founding team: Our co-founders bring a deep understanding of the healthcare landscape. Our CEO is a Stanford/Harvard-trained physician and clinical ops leader (Two Chairs, Ophelia), and our CTO is an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. * Outsized early impact: You'll be joining at an early stage where your contributions shape our company's trajectory, processes, and culture, with significant influence on how we grow. * In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage. We move faster, build stronger bonds, and create a cohesive culture. What You'll Be Working On * Own the candidate journey from discovery to close, eliminating administrative friction and ensuring a world-class experience for every hire. * Create automated workflows that scale our reach while maintaining the level of personal touch required to attract talent. * Build a system to identify and engage candidates by treating the recruiting funnel with the same level of rigor as a sales or product pipeline. * Establish the narrative that attracts exceptional people to Clarion and ensures we are the first choice for the most ambitious candidates. Requirements * 2-4+ years in talent acquisition in high-growth SaaS or early-stage startups. You have a track record of identifying and landing high-caliber technical talent. * A clear, compelling communicator who can translate Clarion’s mission into a narrative that resonates with the most ambitious candidates. * Comfortable in fast-paced, unstructured environments. You are proactive about identifying process bottlenecks and solving them before they scale. * Ability to manage complex hiring projects from start to finish, coordinating across multiple teams with high precision. * Excited to work in-person at our NYC office. You are a good fit if * You believe the best companies are won or lost on talent density and speed of hiring. * You view hiring as a discipline that requires persistent optimization and modern tooling. * You’re highly organized and can balance multiple roles while maintaining a clear view of company priorities. * You move faster than the competition and understand that speed is a competitive advantage in talent acquisition. * You thrive in a fast-paced environment and want to shape the foundational culture of a company from day one. What we offer * Direct mentorship: Work closely with our founding team and experienced leaders who will invest in your professional development * Meaningful equity: Early employee stock options with significant ownership potential * Comprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, weekly team lunches * Team culture: Quarterly retreats and monthly team events that build genuine connections in our close-knit NYC team * Impact at scale: Work that builds the infrastructure to help millions of patients access care Interview Process At each stage, we decide within 24hrs and update you shortly after: * First Chat (15min) [Virtual]: A casual conversation about the role and your experience to see if there's a good initial fit. * Experience Deep Dive (45min) [Virtual]: We'll explore your recruiting experience, how you've built pipelines for hard-to-fill roles, and your approach to creating hiring processes that scale. * Team Day (Half-day) [In-Person]: Visit our New York office to meet our team. You'll work through a recruiting challenge, showing your strategic thinking and operational rigor. You'll also get a sense of our company culture and working environment. If you're ready to build the talent engine that will transform healthcare communication, we’d love to hear from you. Compensation Range: $100K - $150K

Job DescriptionAbout the Company Made’s mission is to help homeowners save time, money, and stress. It starts with Made Card - a credit card designed specifically for homeowners, with unmatched rewards on mortgage payments, home improvements, utilities, and essential purchases. Each swipe powers a personalized home management platform where users can manage home systems & appliances, stay ahead on upkeep, and get help - from AI-driven guidance to in-person services - exactly when they need it most. By bringing together financial tools, data, and trusted professionals, we give people more control, more savings, and more time to enjoy the place they call home. We’re partnered with leading national players in the residential homeownership space - from mortgage lenders to home services providers - embedding Made into the key moments of the homeowner journey. These partnerships let us reach millions of households across the country and deliver meaningful benefits to homeowners. Backed by top investors like Village Global, Jump Capital, Recharge Capital, and Soma Capital, our leadership team brings deep fintech, mortgage, and credit card experience from Ramp, Bain Capital, JP Morgan Chase, American Express, and Morgan Stanley. We’re building the financial and engagement platform for the next generation of homeowners - one that puts the homeowner at the center, and redefines what it means to feel at home. About the Role We’re looking for a QA Engineer to ensure the reliability and quality of the Made Card and homeowner platform. You’ll work closely with engineers, product managers, and designers to identify test requirements, develop automated and manual test cases, and track issues through resolution. This is a role for someone who loves digging into edge cases, is detail-oriented, and wants to help build a strong QA foundation in a growing engineering team. What You’ll Do * Test Planning: Define and execute test plans and cases to validate product features. * Manual & Automated Testing: Conduct testing across frontend (Flutter) and backend (Python/Postgres/DynamoDB/Redis) systems. * Automation: Develop and maintain automated test scripts using frameworks such as Selenium, Cypress, or Playwright. * API Testing: Use tools like Postman or RestAssured to validate backend services. * Bug Tracking: Identify, document, and track defects through to resolution in issue tracking systems. * Regression Testing: Support regression testing for new releases and maintain backward compatibility. * CI/CD Collaboration: Work with engineers to integrate tests into CI/CD pipelines (Kubernetes/Docker/AWS). * Continuous Improvement: Contribute to QA best practices and improve test coverage across the stack. Ideal Background * 3–5+ years of experience in software quality assurance. * Experience writing and executing test cases, and producing detailed bug reports. * Proficiency with test automation tools (Selenium, Cypress, Playwright). * Familiarity with API testing (Postman, RestAssured, or similar). * Understanding of QA methodologies, regression testing, and best practices. * Exposure to CI/CD pipelines and automated testing workflows. * Strong collaboration and communication skills. We understand that not everyone comes from a traditional background. If you are a rockstar with a non-traditional path, we'd love to talk to you! Nice to Have * Experience in fintech, credit cards, or other regulated industries. * Exposure to performance or load testing tools. * Familiarity with mobile test automation frameworks (Appium or similar). * Previous experience in early-stage startups building QA processes. Why Join Made Now You’ll be an early QA engineer helping build and scale quality assurance practices for a fintech platform serving millions of homeowners. This is a chance to be hands-on with testing while helping define the QA culture and processes for the company. Benefits * Base Compensation Band: $70,000–$100,000 (determined by experience, qualifications, and location) * Compensation: Competitive salary with a meaningful stake in the company via equity, and 401k plan * Health & Well-being: We’ll invest in your physical and mental well-being with comprehensive medical, dental, & vision benefits * Grow Together: Company-wide orientation for you to successfully onboard and other learning & development opportunities including regular review cycles that feature 360 degree feedback * Mortgage Benefit: Receive up to $25,000 toward closing costs of a new mortgage via our mortgage partners * Play Together: Quarterly budgets for team and company outings. Use it for team swag, cooking classes, or team dinners! * Generous Time Off: Flexible paid time off, sick days, and 11 company holidays Throughout the interview process, please remember that emails will only be from madecard.com emails. We won't ever be asking for any personally identifiable information during the interview process itself. Please reach out to if you have any requests to verify the authenticity of an outreach. Made Card is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Made Card makes hiring decisions based solely on qualifications, merit, and business needs at the time. Compensation Range: $70K - $100K

Job Description At Commure, our mission is to simplify healthcare. We have bold ambitions to reimagine the healthcare experience, setting a new standard for how care is delivered and experienced across the industry. Our growing suite of AI solutions spans ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management and more — all designed for providers & administrators to focus on what matters most: providing care. Healthcare is a $4.5 trillion industry with more than $500 billion spent annually on administrative costs, and Commure is at the heart of transforming it. We power over 500,000 clinicians across hundreds of care sites nationwide – more than $10 billion flows through our systems and we support over 100 million patient interactions. With new product launches on the horizon, expansion into additional care segments, and a bold vision to tackle healthcare's most pressing challenges, our ambition is to move from upstart innovator to the industry standard over the next few years. Commure was recently named to Fortune’s Future 50 list for 2025 and is backed by world-class investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and more. Commure has achieved over 300% year-over-year growth for the past two years and this is only the beginning. Healthcare's moment for AI-powered transformation is here, and we're building the technology to power it. Come join us in shaping the future of healthcare. About the Role At Commure, our Ambient Scribe team is at the forefront of revolutionizing healthcare technology by building Ambient AI solutions for the entire care journey. We're looking for a talented backend engineer to help take Ambient AI to the next level. If you love working on important, exciting problems in healthcare and love shipping quickly, come join us! What You’ll Do * Contribute to the most advanced healthcare platform in the country * Help scale infrastructure that supports the largest health systems in the country * Be a part of a tremendously fast-paced team that celebrates fast execution and decisions * Design eval and AI pipelines that are reliable, reproducible, and extendable * Shape model interactions by partnering with engineering and product teams on how models are deployed and measured * Work with a stack that includes Python, Flask, Django, FastAPIs and other frameworks * Work directly with customers to solve their issues daily What You Have * Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent extensive experience * 3+ years of professional software development industry experience * [Preferred] Strong Backend Programming Skills (Must be comfortable with Python) * [Preferred] Experience in environments where you have to ship quickly. We move fast. * Have experience building AI applications, including designing evals and improving performance through prompting or scaffolding * Are familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context. * General Understanding of Containers and Cloud (Docker, Kubernetes) * Excitement to work in a high impact field with a builder attitude! * Extremely motivated to grow * Strong leadership skills Commure is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process. Please be aware that all official communication from us will come exclusively from email addresses ending in @getathelas.com, @commure.com or @augmedix.com. Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $170K - $240K

Job Description Ability to work 3 days a week in our NYC office preferred. This position does not offer visa sponsorship now or in the future. Pinwheel - Building the future of financial services in partnership with the biggest brands "I love my banking app!" said no one, ever. Pinwheel is on a mission to change that. We believe banks and financial service providers represent the greatest opportunity to build 10x better experiences, especially in the AI age. We're building the next generation of financial products alongside some of the biggest names in the market including Robinhood, DoorDash, Credit Karma, Amex, Discover, Intuit, Acorns, Visa and more. If you're excited by the idea of having your work touch and impact the lives of hundreds of millions of consumers, Pinwheel is the place for you. If you get stoked about building products alongside the biggest brands in the world, Pinwheel is the place for you. If you want to join a scrappy, hustling team that is obsessed with defining the future of financial services, Pinwheel is the place for you! Pinwheel has raised $77M from top-tier investors such as Coatue, Notable, First Round, Upfront, Primary, American Express, Franklin Templeton, Indeed, Semper Virens and more. We're hiring a world-class Engineer Pinwheel is looking for a creative product-focused engineer that craves autonomy and impact in their role to work across Pinwheel's entire customer-facing stack. Product Engineering is at the heart of what we do here, and this role will help select and lead impactful projects that touch the surfaces our customers use every day. You'll work on a nimble team, working directly with cross-functional stakeholders across Engineering, Product, and Design, to execute this mission-critical work. You'll focus mostly on front-end engineering work (web app development and mobile SDK development), with some supporting back-end engineering work as well. Finally, you'll join a team known for high-velocity, high-quality output and contribute to leveling up that team through mentorship and continuous improvement of our processes and standards. What will you do? • Deeply understand our customer needs and design systems to meet them, • Architect and develop frontend experiences used by every Pinwheel customer, partner, and user, • Maintain and improve our admin and customer web applications, as well as our best-in-class web and mobile SDKs, • Support (and at times lead) the development of new products in the Pinwheel ecosystem, balancing high product velocity with quality and reliability, • Contribute to iterative technical quality: we pay down tech debt while we're working on new projects and expect you to be a leader in the responsible pay-down of tech debt, • Create and improve tooling, processes, and engineering standards across the team, • Mentor engineers and help the team growWhat qualifications are necessary?, • 5+ years of experience building and maintaining front-end or full-stack applications: data modeling, application logic, and user experience, • Prior experience working at an early-stage startup or small tech company, • Deep expertise with modern frontend web frameworks (React, Vue, etc.), • Experience working with modern back-end languages/frameworks (e.g. FastAPI, Django, Rails, Gin), • Prior experience working on mobile apps or libraries is a big plus, • Played key implementation roles in projects with multiple teams and engineers, • Desire to learn new systems and technology as our business evolves, • Ability to design systems and evaluate the tradeoffs in scalability, reliability, performance, and maintainability, • Passion for working closely with customers Be a cultural builder - You will have an active hand in molding the company culture and being a part of the entrepreneurial journey. Build something revolutionary - Help build the products on the bleeding edge of financial services! Belong - Join a community that is passionate and relentless about building fairer financial systems for all. Benefits included: • Great compensation & equity packages, • Full medical, dental, and vision benefits, • Life & short-term disability insurance, • Flexible PTO policy that prioritizes recharge and balance, • Paid parental leave, • 401K for retirement planning, • Mentorship opportunities, • Free Citibike membership The expected cash salary range for this role is $160,000 - $190,000 base. Diversity & Inclusion at Pinwheel At Pinwheel, we are committed to building an environment that is diverse and inclusive. We believe that having people across different backgrounds, experiences, abilities, and perspectives enables us not only to build the best financial products, but to help us realize the best versions of ourselves. Pinwheel is an equal opportunity employer, and we aim to be an open and supportive place to work.

Job DescriptionImplementation ManagerAbout Clarion The hardest part of healthcare shouldn't be getting an appointment. Today, medical staff drown in backlogs of calls, faxes, and scheduling requests. Patients struggle to get the right care at the right time, staff members burn out, and clinics lose billions in revenue. This isn't a failure of care - it's a failure of capacity. Clarion exists to solve this problem at scale. Our AI agents handle the patient journey from end-to-end; from scheduling and rescheduling appointments, to managing referrals and prescription refills. Our AI performs complex workflows with a human-like touch that patients love. We've raised $10M from Accel, Y Combinator, and Sequoia (Scout), along with founders from Ophelia, Medallion, and Counsel Health. We're an in-person team based in New York City, moving quickly to ensure every patient gets the care they need. Why Join Us? * Solving a real-world challenge: We're addressing a critical problem that affects millions of patients and providers daily. Our AI agents outperform human schedulers and restore the time needed to focus on patients. * Early-stage with strong market validation: We've seen 10x revenue growth in the last year alone. We handle millions of interactions for customers ranging from virtual care clinics to a $5B health insurance company. * Founding team: Our co-founders bring a deep understanding of the healthcare landscape. Our CEO is a Stanford/Harvard-trained physician and clinical ops leader (Two Chairs, Ophelia), and our CTO is an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. * Outsized early impact: You'll be joining at an early stage where your contributions shape our company's trajectory, processes, and culture, with significant influence on how we grow. * In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage. We move faster, build stronger bonds, and create a cohesive culture. What You'll Be Working On * Own implementations end-to-end: Run every customer deployment from kickoff through go-live. Lead discovery sessions, collect scheduling rules and clinic workflows, build project plans, hold timelines, and coordinate across engineering and customer stakeholders to drive on-time launches. * Execute the non-engineering implementation work: Collect and organize customer inputs—scheduling rules, knowledge base content, provider configurations, appointment type matrices. Configure the Clarion platform where tooling allows—assistant settings, scheduling configurations, telephony routing, org setup. * Be the customer's primary point of contact: Lead kickoff calls, weekly syncs, and stakeholder check-ins. Send meeting recaps within 30 minutes. Manage all non-technical stakeholder communications and serve as the first line of response for customer issues post-launch. * Run UAT and drive go-live: Coordinate testing sessions where customers simulate real call scenarios. Track issue resolution, manage the production cutover, and ensure a smooth IVR redirect on launch day. * Own accounts post-launch: Lead recurring syncs and QBRs, triage inbound issues via Slack and email, monitor account health metrics, and surface expansion signals to the sales team. * Shape the product: Translate field observations and customer feedback into actionable requirements. Partner with engineering to prioritize admin tooling investments that reduce implementation effort over time. Requirements * Implementation experience: 3+ years running complex software implementations, technical onboarding, or customer-facing project management at a B2B SaaS company. You've owned timelines, managed stakeholders, and driven go-lives. * Semi-technical fluency: Comfortable navigating APIs, configuration interfaces, and technical documentation. You don't write production code, but you understand what engineers are building and can coordinate technical workstreams effectively. * Project leadership: Track record of managing multi-workstream projects and holding cross-functional resources accountable to deadlines. You track 15 things at once without dropping any. * Customer-facing presence: Experience as a primary customer POC—comfortable leading meetings with clinic operators and building trusted relationships with both technical and non-technical stakeholders. * Bias toward action: At our stage, the Implementation Manager is a player, not a coach. You do the work yourself rather than delegating or waiting. Interesting Challenges * Encoding operational DNA at scale: Every specialty practice has unique scheduling rules, referral logic, payer exceptions, and clinical workflows—often undocumented. You'll extract this knowledge from clinic operators and translate it into structured platform configurations. * Building the repeatable machine: Today's implementation process is being invented, not inherited. You'll develop, document, and improve the playbook after every deployment—identifying which steps can be templatized, automated, or handed to the customer. * Bridging AI and clinic operations: Our AI agents require iterative tuning, not just one-time configuration. You'll coordinate post-launch refinements across scheduling rules, knowledge bases, and prompt adjustments to drive accuracy in production. * Scaling without scaling headcount: Partner with engineering to prioritize the admin tooling and self-service capabilities that let one Implementation Manager handle the workload that currently requires multiple engineers. What We Offer * Direct mentorship: Work closely with our founding team and experienced leaders who will invest in your professional development * Meaningful equity: Early employee stock options with significant ownership potential * Comprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, weekly team lunches * Team culture: Quarterly retreats and monthly team events that build genuine connections in our close-knit NYC team * Impact at scale: Work that builds the infrastructure to help millions of patients access care Interview Process At each stage, we decide within 24hrs and update you shortly after: * First Chat (15 min) [Virtual]: A casual conversation about the role and your experience to see if there's a good initial fit. * Implementation Case Study (1 hr) [Virtual]: Walk through how you'd run an implementation. * Experience & Culture (30 min) [Virtual]: Deep dive into work style, culture fit, and previous experience. * Onsite (Half-day) [In-Person]: Visit our New York office to meet the team, review a real implementation audit, and propose process improvements collaboratively. If you're ready to build the system that gets every patient the care they need, we'd love to hear from you. Compensation Range: $135K - $180K

Job Description About Us We are a specialized law firm focused on private markets, leveraging AI-powered software to deliver high-quality legal analysis with greater speed and efficiency than traditional methods. Our clients include top-tier endowments, foundations, and institutional investors across private equity, venture capital, real estate, and hedge funds. We have completed a seed round led by Flybridge Capital Partners. About the Role As our first Senior Full-Stack Engineer, you'll play a critical role in shaping the technology stack, designing scalable solutions, and owning both backend and frontend development. You will report into the CTO. We seek a problem solver who thrives in the dynamic environment of a startup and is eager to engage with cutting-edge technologies in AI and legal tech. Responsibilities • Design, build, and maintain scalable distributed systems with robust server-side logic, • Develop and refine GraphQL APIs, focusing on serverless architectures and seamless third-party API integrations, • Manage and optimize relational databases (Postgres or similar), • Drive frontend development using Next.js and TypeScript, delivering clean, maintainable, and performant code, • Improve application performance, scalability, and reliability through strategic use of cloud platforms (Vercel, AWS, or GCP), • Implement and uphold best practices in engineering processes, including CI/CD, automated testing, and code quality, • Respond proactively to production-level alerts and participate in on-call rotations as needed Requirements • 7+ years of experience as a full-stack engineer in a fast-paced startup or agile environment, • Strong API design skills, especially with GraphQL and serverless architectures and proficient in relational database management, • Deep expertise with Next.js, TypeScript, and modern frontend development practices, • Proven experience deploying and managing applications on cloud platforms such as Vercel, AWS, or GCP, • Knowledge of security best practices, particularly around data security and SOC2 compliance, • Excellent communication skills, capable of clearly articulating technical concepts Team Our goal as a company is to remain as efficient as possible by using technology. We will have a hiring constraint and encourage all leaders to use AI and other technologies to create efficiencies and leverage. Work Arrangements Our current plan is that all professional employees will be located within commuting distance to NYC and will come into the office 3 days a week. Benefits and Paid Time Off We provide healthcare, dental and vision coverage. Currently, we do not specify the number of days of paid time off an employee may take (which is often referred to as unlimited paid time off). Benefits are subject to change as the company grows and evolves. Compensation The expected base salary range for this position is between $175,000 and $200,000 plus equity. Actual compensation will be determined based on experience and other factors as permitted by law.

Job Description COMPANY: Canoe Intelligence WEBSITE: TITLE: Sr. Machine Learning Engineer LOCATION: New York City or London (hybrid) / Fully Remote in the United States or United Kingdom SALARY: $180,000 - $220,000 (based on NYC, will be adjusted for geo) The Role: We are looking for a Senior Machine Learning Engineer to design and deploy models that make sense of highly complex, unstructured financial documents, enabling us to deliver data with unprecedented accuracy, speed, and trust. You’ll work hands-on with LLM and other ML Models, helping scale Canoe’s platform while shaping how alternative investment firms interact with their data. What You’ll Do: * Design, train, and evaluate ML models for document classification, entity extraction, summarization, and information retrieval. * Fine-tune and optimize large language models for domain specific use cases, optimizing their performance for accuracy, efficiency, and scalability. * Work closely with data engineering teams to preprocess and engineer features from large datasets to enhance the performance of machine learning models. * Build scalable, production-ready ML services with strong observability, monitoring, and retraining capabilities. * Contribute to Canoe’s MLOps stack, including CI/CD for models, feature stores, evaluation frameworks, and data versioning. * Collaborate with product managers, software engineers, and other stakeholders to integrate machine learning models into end-to-end solutions. * Stay current with advancements in LLMs, Agentic AI, and ML, and translate new research into practical improvements to Canoe’s technology stack. * Conduct code reviews to ensure code quality and provide mentorship to junior members of the machine learning team. What We’re Looking For: * Minimum of 5 years of experience in applied ML engineering, with a focus on NLP, information extraction, or LLMs. * Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch). * Strong understanding of MLOps (Docker, Kubernetes, CI/CD for ML, experiment tracking). * Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude Code agent) to accelerate software development, prototyping, testing, and deployment of ML solutions. * Problem-solver with a product mindset and bias toward outcomes. * Excellent communication skills; able to partner across engineering, product, and business teams. * Comfortable in fast-paced, agile startup environments. * Bachelor’s degree in computer science or related field. Preferred * Master Degree or PhD in computer science or related field * Experience in training and deploying large language models. * Familiarity with cloud computing platforms and distributed computing. * Familiarity with modern ML Ops tools such as Modal, Weights and Biases, Sagemaker, etc. * Experience with LLM fine-tuning techniques such as LoRA, QLoRA, or parameter-efficient training frameworks (e.g., Unsloth). * What You’ll Get: * Medical, dental, vision benefits * Flexible PTO * 401(k) * Flexible work from home policy * Home office stipend * Employee Assistance Program * Gym/Wifi reimbursement * Education assistance * Parental Leave Our Values: * Client First —> Listen, and deliver client-centric solutions * Be An Owner —> Take initiative, improve situations, drive positive outcomes * Excellence —> Always set the highest standard for yourself and others * Win Together —> 1 + 1 = 3 Who We Are: Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe’s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe’s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm. Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Job DescriptionOur Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing. We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more. Our Values * Take the Lead: We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down. * Move Fast: We have a bias for action and urgency. Something that could be done tomorrow would be better if done today. * Better Together: We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate. * Real Talk: We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same. * Safety First: We act with integrity, transparency, and consistency so people feel safe—whether they're swiping, matching, or working alongside us. * Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters. The team: We are building a new, focused team within Tinder that feels a lot like a startup—nimble, efficient, and centered on building innovative features for the next generation of users. This role comes with a lot of ownership and visibility, as you’d be the founding Android engineer on the team and shape how we build the product, define architecture, and work closely with teams across the company to bring new ideas to life. You should be product- and user-oriented, and comfortable with autonomy and ambiguity. Where you’ll work: This is a hybrid role and requires in-office collaboration three times per week. This role is based out of our New York, NY office. In this role, you will: • Lead the architecture design and implementation of consumer-facing features in the Tinder app, • Build compelling new in-app experiences that will reach tens of millions of users globally, • Coordinate with product and design teams and influence the roadmap and product development of the Tinder app and services, • Create and maintain internal shared frameworks and libraries, • Mentor, collaborate, and learn with innovative and passionate team members You'll need:, • 8+ years of professional experience developing native iOS applications, • Extensive experience building applications using Swift, • Strong software design skills, including a deep understanding of design patterns (e.g., Clean / MVVM / VIPER, and the benefits of each) and dependency injection, • Understanding of design guidelines (i.e. you know how to be a good iOS citizen while maintaining a strong unique brand identity), • Clear communication style within a collaborative team environment, • The ability to combine good judgment, empathy, and technical skillsNice to have: BS or MS in Computer Science or Engineering The salary range for this position is $220,000 - 230,000. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. As a full-time employee, you’ll enjoy: * Flexible Vacation, 10 Sick Days * Time off to volunteer and charitable donations matched up to $15,000 annually * Comprehensive health, vision, and dental coverage * 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP) * 100% paid parental leave (including for non-birthing parents) and family forming benefits * Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional development * Investment in your wellness: access to mental health support via Modern Health, paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy * Free subscription to Tinder Gold Commitment to Inclusion At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: .

Job Description Tabs is the leading AI-native revenue platform for modern finance and accounting teams. Tabs agents automates the entire contract-to-cash lifecycle, including billing, collections, revenue recognition, and reporting, to help teams eliminate manual work and accelerate cash flow. High-growth companies like Cursor and Statsig rely on Tabs to generate invoices directly from contracts, reconcile payments in real time, and automate ASC 606 compliance. Founded in 2023, Tabs has raised over $91 million from Lightspeed Venture Partners, General Catalyst, and Primary. The team is headquartered in New York and brings deep expertise in finance and AI. What We Do We are enabling the one person finance team… Artificial intelligence products that automate operational management of accounting, communications, and reporting. Finance leaders shouldn’t worry about updating new points of contacts for an invoice; our systems enable them to deliver strategy and vision to their business. The Job We are putting together a tight team of innovative product engineers to join the AI team full stack. This is an in person role in New York City. * You will own building automation, AI, and ML features from concept, release, and integration into the product. * We are looking beyond pattern matching, this isn’t a solved problem and we are looking for engineers who will generate new insights and solutions. * You will work closely with company leadership and the founding team to deliver high impact projects with direct impact on market positioning of the business. Who You Are * Proven ability to build green field products, get it 80% right, and learn from the missing 20%. * Experience taking ownership of projects and driving them through to completion * 3-5 years of full stack experience in engineering that directly impacts the delivery of product and features to users * 1+ year of experience on products that deliver AI/ML inference to end users. Can be anywhere in that lifecycle, from training machine learning systems, to creating the interfaces users use to navigate inference results. * An interest and passion for AI/ML systems, if you haven’t had the opportunity at work to build AI/ML systems but have personal projects in the space we would love to hear about them. * We don’t care what stack you’ve built in the past, but you will be building with Python, Typescript, and NextJs (bonus points if this is already your stack) Exceptions to the above requirements are made for candidates with exceptional stories. If this is you, we will consider you regardless of the guidelines above. Our Phenotype We are not looking for people who like to coast or shop offers for value. We are looking for gunners who are attracted to non-traditional success. A specific type of person does well here: * You pride yourself on grit and creativity though you know you may not be the smartest in the room. * You are obsessed with building and have a clear track record of ownership and shipping highly creative, innovative works. * You are energized by working in-person with colleagues four or more days a week. * You are opinionated on how product should be built and know when to fight for your ideas (and when to dissent and commit) * When you see someone spilled coffee, you grab a mop. We’re a NYC-based team working together in our Manhattan office. Even if you don’t meet 100% of the qualifications, we encourage you to apply. We care most about curiosity, craft, and drive. Perks and Benefits (Full-time Employees) * Competitive compensation and equity * Unlimited PTO * Up to 100% employer covered monthly healthcare premium (medical, dental, vision) * Lunch provided via Sharebite, plus dinner for any later office days. * Parental leave up to 12 weeks * Tax free commuter and parking benefits * Voluntary insurances (Life, Hospital, Critical Illness, Accident) * Employee Assistance Program (Rightway) * Free One Medical Membership * 401k Tabs is an equal opportunity employer. We welcome teammates of all identities and do not discriminate on the basis of race, ethnicity, religion, gender identity, sexual orientation, age, disability, veteran status, or any other protected characteristic. We’re committed to creating an environment where everyone can grow, contribute, and feel comfortable being themselves. Compensation Range: $165K - $225K

Job DescriptionCareer Renew is recruiting for one of its clients an Applied ML Engineer - this is a hybrid role in Arlington, VA or Boston, SF Bay Area or NY. This role will require a security clearance. Salary range:190-250K USD yearly plus benefits plus equity. We are seeking a versatile and pragmatic Applied ML Engineer to contribute across a broad range of machine learning and perception tasks that power our edge-intelligent maritime systems. This role requires someone comfortable wearing many hats—from working with computer vision and sensor fusion models to building lightweight inference pipelines, designing experiments, and fine-tuning model behavior in production. You’ll work closely with a cross-functional team spanning hardware, software, and product to deliver real-world AI solutions that are robust, efficient, and reliable under challenging field conditions. This is an ideal position for someone who thrives on variety, rapidly shifting problem domains, and turning rough ideas into deployed systems. Key Responsibilities: * Design, train, and evaluate models for tasks ranging from object detection and classification to anomaly detection and sensor-based inference. * Optimize model architectures and inference pipelines for performance on embedded/edge hardware under compute and bandwidth constraints. * Contribute to dataset development and labeling strategy, including data augmentation, synthetic data generation, and domain adaptation. * Support prototyping and experimentation across a variety of AI subfields, including computer vision, signal processing, and multi-modal fusion. * Implement real-time pipelines for processing sensor data on-device and in cloud environments. * Develop tools and scripts for benchmarking, data visualization, and debugging ML model performance. * Stay current with the latest research and tools in machine learning and evaluate their applicability to our product roadmap. * Participate in code reviews, team knowledge sharing, and internal technical documentation. * Must be eligible to obtain/maintain a security clearance. Qualifications (Preferred): * Master’s or PhD in Computer Vision, Machine Learning, Robotics, or related field. Bachelors candidates considered on a case by case basis. * 4+ years of experience building and deploying machine learning models in production environments. * Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow. * Comfortable working with a range of data types (images, time-series, geospatial, RF, etc.). * Experience with edge or embedded ML deployments, including model compression and hardware-aware optimization. * Familiarity with common ML practices including cross-validation, hyperparameter tuning, and model monitoring. * Excellent debugging, experimentation, and problem-solving skills. * Strong collaboration and communication skills with both technical and non-technical team members. * Bonus: experience in maritime, aerospace, or other remote sensing domains.

Job DescriptionAbout Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.Salary Range: US$ 140,000-190,000/yearRole Overview We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You’ll work across the ML lifecycle—from problem framing and data exploration to model development, evaluation, deployment, and monitoring—often in partnership with client stakeholders and internal delivery teams. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. Key Responsibilities • Problem Framing & Stakeholder Partnership, • Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.)., • Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability)., • Data Analysis & Feature Engineering, • Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses., • Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices., • Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions., • Model Development (Core ML), • Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data)., • Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation., • Build time series models (statistical and ML/DL approaches) and validate with proper backtesting., • Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness., • Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making., • Deep Learning, • Build and train deep learning models using PyTorch or TensorFlow/Keras., • Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design)., • Evaluation, Explainability, and Iteration, • Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports., • Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence., • Productionization & MLOps (Project-Dependent), • Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration., • Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans., • Documentation & Communication, • Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders., • Create documentation and lightweight demos that make results actionable.Success in This Role Looks Like, • You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency)., • Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring., • Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly.Required Qualifications, • 3–8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior)., • Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent)., • Strong SQL skills (joins, window functions, aggregation, performance awareness)., • Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset., • Hands-on experience across multiple model types, including:, • Classification & regression, • Time series forecasting, • Clustering/segmentation, • Experience with deep learning in PyTorch or TensorFlow/Keras., • Strong problem-solving skills: ability to work with ambiguous goals and messy data., • Clear communication skills and ability to translate analysis into decisions.Preferred Qualifications, • Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows)., • Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining)., • Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks)., • Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker)., • Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls)., • Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks), • Databricks certifications (Data Scientist, Data Engineer, or related)Nice-to-Have, • Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests)., • Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products., • Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability.Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. I0GDC3XJwj

Job DescriptionDescription: Hybrid 4 in New York, NY Our client is seeking a senior full-stack developer at the SVP level to design and build core equities engineering services that power real-time trading workflows. The role focuses on backend Java, Spring Boot, distributed systems, and messaging with Kafka or MQ to drive scalability, latency, and resiliency. You will modernize legacy components into cloud-native microservices, integrate AI-assisted development practices, and mentor developers while delivering mission-critical enhancements and support. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $95.00 to $105.00/hr. w2 JN -052026-106972 Responsibilities: • Design and build trading and messaging channels interfacing with venues and exchanges using industry-standard protocols., • Operate mission-critical systems and deliver day-to-day enhancements across front office and operations., • Design and develop core Java components leveraging messaging systems such as Kafka and MQ., • Coordinate and execute internal system testing procedures., • Collaborate across platform teams within a platform operating model., • Deliver and maintain applications within the equities domain with a focus on reliability and performance., • Provide second-level production support and troubleshoot issues under pressure., • Mentor junior developers and contribute to engineering best practices., • Re-engineer and modernize the platform toward scalable microservices and cloud-based architectures., • 10+ years of software development with strong proficiency in Java, SQL, and Git., • 10+ years in business analysis and trading systems analysis or administration., • Strong experience with messaging and data protocols including Kafka and MQ; familiarity with FIX and FpML., • Proficiency with Spring, Spring Boot, and Spring Integration., • Proficiency in data standards and data modeling., • Comfort with cloud environments and DevOps practices including build, deploy, debug, and pipelines., • Familiarity with Windows and Linux environments., • Knowledge of equity products and instruments., • Familiarity with AI coding-assist tools such as GitHub Copilot, Cursor, Windsurf, or Claude Code., • Experience operating distributed, real-time systems with a focus on scalability, latency, performance, and availability., • Production support experience with strong troubleshooting and debugging skills., • Experience with application profiling and performance tuning., • Experience with order management systems and smart order routing (preferred)., • Experience managing trade data feeds and downstream integrations (preferred)., • Understanding of equities trade life cycles (preferred)., • Understanding of the regulatory landscape from a developer perspective (preferred)., • Familiarity with Angular and Python (preferred)., • Experience with in-memory caching such as Hazelcast, Redis, or GemFire (preferred)., • Experience with monitoring and observability tools such as Splunk (preferred)., • Cloud architecture and scalability design experience (preferred)., • Hands-on FIX protocol experience (preferred). W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: · When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. · Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job Description Role Overview: We are seeking a Senior Amazon Connect Engineer to lead the design, development, and delivery of modern cloud-based contact center solutions leveraging Amazon Connect and related AWS services. This role will serve as a key technical authority, responsible for building scalable voice and chat solutions, driving system integrations, and ensuring high-performing, resilient architectures that enhance customer engagement. Key Responsibilities: Architecture & Design • Define and own the end-to-end technical strategy for Amazon Connect implementations., • Architect secure, scalable, and fault-tolerant contact center systems., • Lead platform modernization and migration from legacy telephony systems to AWS-based solutions. Development & Integration • Design and build advanced contact flows, Lex bots, routing logic, and IVR frameworks., • Integrate Amazon Connect with Salesforce, ServiceNow, and custom CRM applications., • Develop AWS-based backend services using Lambda, API Gateway, DynamoDB, Kinesis, and EventBridge., • Implement AI-driven experiences using tools such as Amazon Bedrock, OpenAI, or LangChain. Operations & Support • Support production environments and ensure system reliability through monitoring and automation., • Perform root-cause analysis and implement continuous improvements for incident management., • Establish observability metrics (SLIs/SLOs) and dashboards to track performance. Leadership & Collaboration • Mentor junior engineers and support team skill development., • Partner with network and security teams to maintain compliance, IAM policies, and QoS standards., • Deliver analytics and reporting capabilities for business operations. Required Skills & Qualifications: • 5–10+ years of experience in telephony, contact center technology, or AWS backend development., • 3+ years hands-on experience with Amazon Connect preferred., • Strong experience with AWS services including Lambda (Node.js/Python), API Gateway, DynamoDB, S3, CloudWatch, and IAM., • Experience integrating with Salesforce Service Cloud Voice or similar platforms preferred., • Knowledge of networking and telephony concepts such as SIP, RTP, and PSTN., • Experience with REST/GraphQL APIs, JWT, and OAuth/SAML authentication., • Familiarity with Terraform, CloudFormation, Git, and CI/CD automation., • Strong analytical, communication, and leadership skills. Preferred Certifications: • AWS Certified Solutions Architect or Developer, • Salesforce Service Cloud or Omni-Channel Certification

Job DescriptionCareer Renew is recruiting for one of its clients a Staff Backend Engineer - AI - this is an onsite role in NYC. Salary range: 200-250K USD yearly plus benefits plus equity. We build autonomous manufacturing systems powered by AI and robotics to solve America's manufacturing workforce crisis. We're creating the intelligence layer that lets machines run autonomously so manufacturers can scale production without scaling headcount. You'll join a small in-person team in NYC with deep experience from defense tech and AI who've already shipped products to DoD customers. This is your chance to build the future of American manufacturing at the intersection of ML robotics and distributed systems. As Staff ML Backend Engineer you'll own the entire data pipeline for robotics sensor data and build foundational ML infrastructure. You'll make key technical decisions around storage processing and analytics while functioning as a research engineer to keep ML team iteration cycles fast. This Staff Backend Engineer will build the foundational infrastructure for our machine learning pipelines, focusing on creating robust, scalable backend systems for advanced robotics. The role involves owning the data collection and storage pipeline for robotics sensor data, making key technical decisions, and functioning as a research engineer for the ML team to accelerate their iteration cycles. This is a generalist software engineering role focused on the backend, particularly on building production systems for large-scale data and data pipelines, rather than internal tooling. Tech stack Python, Rust, C++, Distributed Systems, Data Pipelines, PyTorch, TensorFlow, Time-series Databases, GPU Requirements: 7+ years of experience in backend engineering building production data pipelines in Python, Rust, or C++ (Mandatory) Built production data pipelines for large-scale sensor/video data. (Mandatory) Experience with distributed systems handling low-latency, high-throughput data flows (Mandatory) Experience in latency-sensitive environments (e.g. trading systems, real-time industrial/robotics systems) (Nice-to-have) BS/MS in Computer Science or a related technical field. (Mandatory) Strong proficiency in Python, Rust, or C++ for backend / systems development (Mandatory) Experience with time-series or streaming data systems (e.g. sensor data pipelines, event streams) (Mandatory) Familiarity with ML infrastructure or supporting ML pipelines in production (not just model training) (Nice-to-have)

Job DescriptionAbout Clarion At Clarion, we're rebuilding how healthcare communicates in the age of AI. Today, clinics miss 30-40% of patient calls while staff drowns in administrative tasks. We believe AI agents should handle these workflows—scheduling, billing, prescription refills—so healthcare teams can focus on actual patient care. We're building the communication infrastructure that modern healthcare desperately needs. Our AI agents don't just answer calls; they complete entire workflows end-to-end, giving providers back their time and ensuring patients never go unheard. We've already handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company. Founded by a Stanford/Harvard-trained physician who was on the founding team of Two Chairs and Ophelia, and an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce, we uniquely understand both the clinical and technical challenges of transforming healthcare communication. We've raised $5.5M from Accel, Y Combinator, Sequoia (scout), and healthcare founders from Ophelia, Medallion, and Counsel Health. We're an in-person team based in New York, moving fast to ensure no patient call goes unanswered. Why Join Us? * Early-stage with strong market validation: We are rapidly growing and offering the high-impact environment of an early-stage startup * Solving a massive healthcare challenge: We're addressing a critical problem in healthcare communication that affects millions of patients * Cutting-edge tech frontier: You'll design both visual and voice experiences for breakthrough AI technology that's transforming healthcare communication * In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage—we move faster, build stronger bonds, and create a cohesive culture What you'll be working on * Own our entire design language: Define Clarion's brand identity across all touchpoints—from marketing website to product interfaces to sales materials—ensuring we stand out in healthcare * Design AI voice experiences that feel human: Craft conversation flows, dialogue scripts, and interaction patterns that make our AI agents sound natural, empathetic, and trustworthy to patients * Create intuitive product interfaces: Build dashboards and tools that make complex AI capabilities feel simple for overwhelmed healthcare teams * Bridge the visual and auditory: Design cohesive experiences where what customers see perfectly complements what patients hear during AI conversations * Build our design system from scratch: Establish visual guidelines, component libraries, and voice interaction patterns that scale as we grow * Ship brand experiences at startup speed: Create everything from pitch decks to product demos to conference materials that make healthcare buyers stop and pay attention Requirements * 3+ years of design experience: Portfolio showing both brand and product design work, with ability to create cohesive experiences across mediums * Full-stack designer: Comfortable moving from brand strategy to UI design to copywriting within the same day * Systems thinker: Can create scalable design frameworks for both visual and conversational interfaces * Figma fluent: Expert-level proficiency in design tools, with ability to create everything from logos to prototypes * In-person collaboration: Excited to work from our NYC office daily You are a good fit if * You believe great design spans all senses—what people see, hear, and feel when interacting with a product * You're fascinated by making AI conversations feel natural and human, not robotic or scripted * You can write copy that sounds like a compassionate healthcare worker, not a tech company * You want to own both how Clarion looks and how it sounds to millions of patients * You're excited to define a brand that stands out in the sea of sterile healthcare tech * You measure success by both user delight and business impact Interesting Design Challenges * Make AI feel human: Design voice scripts and interfaces that help patients trust they're getting real help, not talking to a robot * Smooth handoffs between AI and staff: Create seamless transitions when a conversation needs to move from AI to a human without confusing or frustrating the patient * Simplify complex healthcare workflows: Turn chaotic medical processes into clean, intuitive designs that busy staff can use without training * Show conversations clearly: Design dashboards that help staff quickly understand what happened in AI-patient calls and spot important issues * Give staff the right amount of control: Build systems that let healthcare teams oversee AI agents without creating extra work or slowing things down * Connect what's heard with what's seen: Make sure the AI's voice conversations match perfectly with what staff see on their screens What we offer * Direct mentorship: Work closely with our founding team and shape both product and brand direction from day one * Meaningful equity: Early employee stock options with significant ownership potential * Comprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, daily team lunches * Team culture: Quarterly retreats and monthly team events that build real connections in our close-knit NYC team * Impact at scale: Your designs—both visual and voice—will directly improve healthcare access for millions Interview Process We'll get back to you within 24 hours after each step: * First Chat (20 min) [Virtual]: Quick conversation about your design philosophy and experience in complex product spaces * Portfolio Review (45 min) [Virtual]: Walk us through 2-3 projects that showcase your design process from research to shipped product * Design Exercise (Take-home): Tackle a real challenge we're facing around AI-patient communication interfaces * Team Day (Half-day) [In-Person]: Visit our NYC office for a collaborative design session, meet the team, and see how we work together If you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you. Compensation Range: $120K - $160K

Job DescriptionOn-site Position Who You Are You are an innovative and detail-oriented Full-Stack Engineer with a passion for building reliable, secure, and scalable applications. You thrive in complex enterprise environments, enjoy collaborating with diverse teams, and are committed to continuous learning and technical excellence. You’re someone who finds energy in problem-solving, optimizing cloud architectures, and delivering high-quality software that directly impacts millions of users. You take ownership of your work, enjoy mentoring others, and value process discipline — especially in environments that demand precision, performance, and compliance. If you want to grow with a mission-driven company, contribute to world-class projects with global clients like JP Morgan Chase, and help elevate Latin American tech talent to its fullest potential, this is the role for you. Who We Are MAS means “more” in Spanish — and that’s what we stand for. We believe in providing more opportunities, more inclusion, and more impact. Founded by a Latina engineer from Medellín and based in Tampa, Florida, MAS Global Consulting is a 100% Hispanic and woman-owned company, recognized as a Great Place to Work and one of the Fastest-Growing Companies in the US. We connect top Latin American talent with North American clients to build digital, data, and cloud solutions. Our teams are currently helping world-leading organizations like JP Morgan Chase, Johnson Controls, and Dell to modernize platforms, deliver innovation, and scale digital transformation. How You Will Make Impact As a Full-Stack Java Developer, you will design, build, and optimize microservices and customer-facing applications that process massive volumes of secure transactions daily. You will work directly with Chase engineers under a time-and-materials engagement, embedded in agile delivery teams. Your contributions will drive real impact by improving system performance, enhancing observability, and enabling data-driven financial solutions at scale. Key Responsibilities • Design and develop RESTful APIs and microservices using Java (11+), Spring Boot, and Spring Cloud frameworks., • Implement event-driven architectures with Kafka (producers, consumers, schema management, and streaming)., • Deploy and manage services on AWS ECS/Fargate, using Terraform or CloudFormation for Infrastructure-as-Code and Spinnaker for CI/CD automation., • Integrate and maintain data flows with Cassandra, AWS S3, or Spark-based pipelines., • Collaborate with frontend teams using React or Angular to deliver seamless, full-stack solutions., • Leverage Python for automation, data validation, or integration scripting (nice-to-have)., • Ensure quality through Test-Driven Development, automated testing, and continuous integration practices., • Partner with DevOps and QA teams to enhance resilience, scalability, and performance across distributed systems., • Participate in sprint planning, design reviews, and retrospectives while following Agile/Scrum practices., • Champion best practices in security, code quality, and documentation, ensuring compliance with Chase’s standards.You Have:, • BS/BA degree or equivalent experience in Computer Science, Engineering, or related field., • 7+ years of experience building enterprise-grade applications using Java / Spring Boot., • Proven experience developing and deploying microservices on AWS Cloud (ECS, Fargate, Lambda)., • Solid understanding of Kafka, Docker/Kubernetes, and distributed system design., • Hands-on experience with CI/CD pipelines (Spinnaker, Jenkins, or GitHub Actions)., • Experience with frontend frameworks like React or Angular for full-stack delivery., • Familiarity with Cassandra, SQL/NoSQL databases, and data streaming concepts., • Working knowledge of Python3 for automation or data processing (nice-to-have)., • Exposure to observability tools like Datadog, Splunk, or Dynatrace for monitoring and troubleshooting., • Experience working in Agile environments and collaborating in cross-functional teams., • Excellent communication skills — able to explain technical concepts to both engineers and product stakeholders.Bonus Skills (Nice to Have):, • Knowledge of Apache Spark, Flink, or data engineering concepts., • Familiarity with financial services, regulated environments, or compliance-heavy systems., • Experience integrating AI/ML-powered recommendation systems or event-driven personalization logic., • Awareness of performance testing, NFR validation, and resilience patterns (DLQ, retries, fallback).Benefits, • Health: Medical, dental, and vision coverage., • Time Away: Vacation, holidays, wellness days, and parental leave., • Financial: 401(k), basic life, and AD&D insurance. Powered by JazzHR eo3X22hHCS

Job Description Fullstack Software Engineer | AI-Native Healthcare Platform Location: New York, NY (In-Person) Experience: 3–7 Years Comp Range: $220,000 - $250,000 + Equity The Opportunity TechStaffers is partnering with a high-growth, venture-backed startup with $4 million in funding that is redefining how healthcare providers handle administrative workflows. This isn't just another SaaS dashboard; they are building an agentic AI platform designed to automate the complex, manual processes inherent in Revenue Cycle Management (RCM). As an early engineer, you will work on the frontier of AI application, building voice AI, browser agents, and generative features that interact directly with human operators. You'll be tasked with taking products from 0-to-1 and scaling them from 1-to-X in a space that is desperate for modernization. What You'll Do • Architect Agentic Workflows: Partner directly with customers to prototype and productize end-to-end solutions using LLMs, voice AI, and browser automation., • Fullstack Ownership: While slightly backend-leaning, you will build the React/Next.js interfaces and the robust Python backends that power these autonomous agents., • Customer-Centric Engineering: Develop deep domain expertise in healthcare billing to make high-level product decisions and empathize with the end-user., • Bridge AI and UX: Solve the unique challenge of how humans and AI agents interact within a seamless software environment. The Tech Stack • Backend: Python (Primary), • Frontend: React, Next.js, TypeScript, • Infrastructure: AWS Who You Are We are looking for a high-agency engineer who thrives in the "controlled chaos" of a high-growth startup environment. Required Qualifications: • Startup Pedigree: 3–7 years of experience, specifically at high-growth, high-caliber startups (e.g., the early days of Stripe, Samsara, or similar)., • Fullstack Proficiency: Strong Python skills with solid experience in React and Next.js. You should be comfortable leaning into the backend but capable of shipping polished UI., • Proof of Excellence: You have a track record of high achievement (e.g., Neo Scholar, experience at a top-tier firm, or a degree from a top 30 university)., • Zero-to-One Experience: You have a history of building and launching products from scratch., • Industry Interest: A genuine excitement to solve "unsexy" but high-impact problems in healthcare billing. TechStaffers is a technical recruiting company partnering with VC-funded start-ups across the United States. More information at .

Job DescriptionAbout Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.Salary Range: US$ 140,000-170,000/year Note: We are not considering OTP STEM visas neither H1B support for this roleRole Overview We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You’ll work across the ML lifecycle—from problem framing and data exploration to model development, evaluation, deployment, and monitoring—often in partnership with client stakeholders and internal delivery teams. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. Key Responsibilities • Problem Framing & Stakeholder Partnership, • Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.)., • Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability)., • Data Analysis & Feature Engineering, • Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses., • Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices., • Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions., • Model Development (Core ML), • Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data)., • Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation., • Build time series models (statistical and ML/DL approaches) and validate with proper backtesting., • Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness., • Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making., • Deep Learning, • Build and train deep learning models using PyTorch or TensorFlow/Keras., • Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design)., • Evaluation, Explainability, and Iteration, • Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports., • Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence., • Productionization & MLOps (Project-Dependent), • Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration., • Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans., • Documentation & Communication, • Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders., • Create documentation and lightweight demos that make results actionable.Success in This Role Looks Like, • You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency)., • Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring., • Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly.Required Qualifications, • 3–8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior)., • Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent)., • Strong SQL skills (joins, window functions, aggregation, performance awareness)., • Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset., • Hands-on experience across multiple model types, including:, • Classification & regression, • Time series forecasting, • Clustering/segmentation, • Experience with deep learning in PyTorch or TensorFlow/Keras., • Strong problem-solving skills: ability to work with ambiguous goals and messy data., • Clear communication skills and ability to translate analysis into decisions.Preferred Qualifications, • Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows)., • Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining)., • Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks)., • Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker)., • Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls)., • Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks), • Databricks certifications (Data Scientist, Data Engineer, or related)Nice-to-Have, • Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests)., • Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products., • Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability.Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. pYO5KHk85I

Job DescriptionWhy Join AngelList We’re solving some of the hardest problems in venture capital and private markets. You’ll work with a team that values precision, urgency, and long-term thinking. If you want to shape how startups are funded and built, this is the place. About AngelList We exist to accelerate innovation by increasing the number of successful startups in the world. We do this by building the financial infrastructure that makes it easier for more people to invest in world-changing companies. AngelList is the nexus of venture capital and the startup community. We support $171B+ in assets and have powered investments into over 13,000 startups—over 300 of which are unicorns. Today, 57% of top-tier U.S. VC deals involve investors on AngelList. While our scale is large, our ambition is larger. If you're excited to build the future of private markets, come build with us. About the Role: AngelList helps over 25,000 funds manage $170B+ in startup investments. Our software automates the work for our in-house team of operators, financial accountants, and tax professionals. We are now charting the course to managing $1T in investments. AngelList aims to power the best-performing venture funds. We can win these customers if we deliver financials more accurately and more quickly than anyone else. We need to issue and collect capital calls faster than anyone. We need to make our customers’ requests either self-serve, or so operationally tight behind-the-scenes, that it feels self-serve. We will get there by delivering a new product experience, where the GP may self-serve more of their requests; and by overhauling our accounting system to automate more operational work. You will have the opportunity to: • Model financial workflows—turning messy, real-world fund data into accurate and automated financials., • Build scalable accounting infrastructure—improving how financial data is reported on the front-end, and building out how we read/write to the general ledger on the back-end., • Solve hard data integrity problems—ensuring our system produces reliable and audit-ready outputs across a growing universe of funds., • Collaborate directly with accounting stakeholders in a tight feedback loop, turning their manual processes into automated systems., • Work with other highly talented and self-motivated colleagues driven by the same mission.You are most likely:, • A senior back-end engineer (Ruby on Rails or similar MVC frameworks) with 5+ years of experience, capable of owning features end to end and venturing into the frontend (React, TypeScript)., • Understand financial workflows or eager to dive deep into fund accounting, transaction processing, and general ledger systems. You are excited about the details of how money flows through the venture ecosystem., • Thrive on complexity—modeling ambiguous problems, messy data, and evolving business requirements in a relational database (Postgres, MySQL) where every record is critical., • Build for reliability—designing systems to produce audit-ready financial outputs, not best-effort calculations., • Customer-oriented to solve complex business problems in collaboration with users in finance and accounting., • Execution-focused, comfortable with balancing tradeoffs and making progress in a fast-moving environment. AngelList has offices in a few cities, with our engineering hub in San Francisco. We’re building our engineering and product teams around this hub to make the most of in-person collaboration. We have a hybrid in-office model: teammates come in at least 2 days per week (Tuesdays and either Wednesday or Thursday). Compensation: The compensation for this role consists of a competitive base salary, benefits, and equity package. The base salary for this role starts at $200,000+ annually but will vary based on a number of factors including a candidate’s professional background, experience, level, and location. Additional details about our Total Rewards package will be provided during the recruitment process. Benefits: We support your life both in and outside of work. Explore our benefits Learn about Funders & Founders What Guides Us: At AngelList, we are united in our purpose to accelerate innovation and build the future of private markets. Our beliefs and values shape what we work on and how we create impact. If the below resonate, we'd love to have you with us. Our beliefs Our values & leadership expectations AngelList is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Syllo Syllo is on a mission to transform litigation. Our product is an AI-powered litigation workspace that enables lawyers and paralegals to safely harness the power of language models throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. We're looking for a Back-End Engineer who's excited to build and scale systems that power intelligent data experiences. If you're passionate about clean architecture, reliable APIs, and high-performance infrastructure — and you love working in a dynamic startup environment — we'd love to meet you. The Responsibilities • Design, build, and maintain Syllo's backend systems and APIs to support our data platform., • Collaborate closely with front-end engineers, product managers, and data teams to deliver scalable, high-quality features., • Write clean, maintainable, and well-tested code., • Work on system design and architecture to improve performance, reliability, and scalability., • Integrate data sources and third-party tools as needed to enhance platform capabilities., • Participate in technical design discussions, peer code reviews, and continuous improvement initiatives. Qualifications • 6+ years of professional engineering experience., • Strong programming skills in Ruby or Python., • Experience developing APIs using frameworks such as Ruby on Rails, Flask, or Django., • Proficiency with relational databases, full-text search engines, and/or vector databases., • Familiarity with distributed systems and cloud technologies (e.g., GCP, Pub/Sub, Kafka)., • Excellent communication and organizational skills, with the ability to collaborate effectively across teams and functions. Nice-to-Have • Experience with Docker, Kubernetes, or other containerization tools., • Knowledge of CI/CD pipelines, testing frameworks, and deployment automation., • Understanding of authentication, security, and data privacy best practices., • Experience working in a fast-paced startup environment. United States - Remote Pay Range$160,000—$200,000 USD

Job DescriptionApplied AI EngineerLocation: New York, NY (Hybrid – Wednesday Remote) Employment Type: Full-TimeHireNow Staffing is actively recruiting multiple seasoned, highly skilled Applied AI Engineers to join one of our valued client partners. HireNow Staffing is acting as a direct placement partner for this Applied AI Engineering opportunity within the fintech and institutional investment technology sector.Position OverviewThis position is built for engineers who thrive in fast-moving environments and enjoy building AI-powered applications that solve complex operational problems for institutional finance teams. The selected candidates will work on production-grade AI systems used by sophisticated investment organizations, transforming research, analytics, and operational workflows through modern AI infrastructure and automation.This is not a research-focused AI role. The client is seeking engineers who can build, deploy, and scale user-facing AI applications using modern LLM infrastructure, agentic frameworks, orchestration tooling, and full-stack engineering principles.Candidates must be comfortable operating in highly unstructured startup environments where ownership, execution speed, and technical depth are essential.Core Responsibilities • Build AI-powered client applications leveraging modern LLM infrastructure and orchestration frameworks, • Develop agentic workflows, automation layers, and intelligent research systems for institutional investment teams, • Design and maintain backend APIs using Python frameworks such as FastAPI, Flask, or Django, • Build responsive frontend applications using React and modern UI tooling, • Implement MCP-connected data sources, orchestration pipelines, and AI agent frameworks, • Develop ETL pipelines supporting portfolio analytics, securities data, research signals, and operational workflows, • Create scalable infrastructure supporting observability, orchestration, AI tooling, and workflow automation, • Work directly with client stakeholders to convert operational challenges into production-ready software solutions, • Support Kubernetes-based deployments across client environments, • Continuously iterate on AI products in compressed delivery cycles while maintaining production quality standards Required Qualifications (Non-Negotiable)Candidates must meet the following qualifications to be considered for interview:, • 3–8 years of experience as a Full-Stack Software Engineer or Applied AI Engineer, • Strong Python development expertise with production API experience using FastAPI, Flask, or Django, • Demonstrated experience building user-facing AI products from concept through deployment, • Hands-on experience integrating frontier LLM APIs such as Anthropic or OpenAI, • Proven experience using agentic AI tooling including MCP servers, Claude Code, Codex, LangGraph, OpenClaw, LangChain, OpenCode, or similar frameworks, • Strong understanding of agentic loop architecture, state handling, orchestration, and context management, • Experience building full-stack applications using React and backend API systems, • Comfortable operating within startup-style, highly unstructured environments, • Stable employment history with demonstrated ownership of long-term projects and product delivery, • Strong communication skills with ability to collaborate directly with technical and non-technical stakeholders Preferred Qualifications, • Prior fintech, hedge fund, institutional investment, biotech, or quantitative systems experience, • Experience building AI-powered workflow automation tools or financial intelligence platforms, • Familiarity with Kubernetes deployments and cloud infrastructure environments, • Experience working with portfolio analytics, risk systems, or data-intensive applications, • Strong understanding of data orchestration and distributed system workflows, • Experience working within high-performance engineering teams delivering products rapidly HireNow ChecklistHireNow Staffing is recruiting for Applied AI Engineers who demonstrate:, • Strong ownership mentality with proven 0-to-1 product development experience, • Deep hands-on AI implementation expertise rather than purely research-based AI backgrounds, • Strong full-stack engineering capabilities with production-level Python and React experience, • Experience building customer-facing AI applications using modern LLM infrastructure, • Ability to move quickly while maintaining software quality and operational reliability, • Clear interest or exposure to fintech, quantitative systems, or high-stakes data environments, • Stability within prior employment history and consistent technical growth, • Strong problem-solving ability within ambiguous or rapidly evolving environments HireNow DisqualifiersCandidates will not be considered if they primarily demonstrate:, • AI research, model training, fine-tuning, or optimization experience without user-facing application development, • Internal tooling-only backgrounds without production customer-facing product ownership, • Big Tech-only environments lacking startup execution and independent ownership experience, • Limited or no hands-on agentic framework implementation experience, • No direct integration experience with modern LLM APIs and orchestration tooling, • Frequent job changes, contract-heavy work history, or unstable employment backgrounds, • Limited frontend engineering capability or lack of full-stack product development experience HireNow Package, • Location: Hybrid onsite role in New York, NY (Wednesday remote schedule), • Compensation: $230,000 – $300,144 base salary depending on experience and technical depth, • Additional compensation may include prorated end-of-year bonuses ranging from $25,000 – $50,000, • Equity participation available ranging approximately 0.1% – 0.2%, • Full benefits package available, • Opportunity to work directly with elite institutional investment organizations

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: As a Senior Insider Risk Engineer, you will lead the technical engineering of our user-centric monitoring capabilities. Your primary focus will be the development, tuning, and optimization of Data Loss Prevention (DLP) policies and the ingestion/analysis of cloud-native, endpoint and SaaS audit logs. You will operate with a high degree of autonomy in designing, implementing, and evolving detection logic and telemetry pipelines, transforming raw telemetry into actionable behavioral intelligence. About the role: • DLP Policy Engineering: Design, develop, and deploy advanced detection logic and use cases within the Insider Risk platforms to identify unauthorized data movement, anomalous system activity, and policy violations. Independently identify gaps in detection coverage and propose, implement, and tune new DLP use cases to address emerging insider risk scenarios., • Cloud & SaaS Telemetry Analysis: Work with Security Engineering department to ingest and normalize high-fidelity telemetry from cloud environments, SaaS services, and endpoint agents into the Insider Risk security stack/tooling., • Behavioral Detection Development: Design and implement technical "tripwires" and behavioral models that identify patterns associated with data exfiltration, such as unusual download volumes, unauthorized file sharing, or anomalous access to sensitive repositories., • Data Pipeline Oversight: Define telemetry requirements and partner with Security Engineering to build and maintain high-fidelity data pipelines from DLP agents and cloud providers into our monitoring platforms., • Technical Incident Support: Serve as the technical subject matter expert during complex investigations, providing deep-dive forensic analysis, log reconstruction and evidence gathering and preservation. Drive improvements to investigative tooling, detection feedback loops, and post-incident telemetry requirements., • 7+ years experience in Security Engineering or Security Operation and 4+ years of DLP or user-centric monitoring experience., • Demonstrated expertise in configuring and/or managing enterprise-grade DLP solutions (e.g. Proofpoint ITM, Netskope, Digital Guardian, Forcepoint or Symantec) and cloud-native security tools., • Deep proficiency in analyzing and querying cloud audit logs to reconstruct user activity., • Strong command of data analysis languages to parse large datasets and identify behavioral trends., • Experience building or maintaining User and Entity Behavior Analytics (UEBA) logic., • Experience with Cloud Security Posture Management (CSPM) and managing visibility in multi-cloud environments., • Knowledge of data classification frameworks and the technical implementation of data labeling/tagging., • Familiarity with global privacy regulations (e.g.GDPR, CCPA) and the technical requirements for compliant data monitoring. At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Apply now: Lead Analytics and AI Engineer, location is Remote. The start date is ASAP for this permanent position. Job Title: Lead Analytics and AI Engineer Location-Type: Remote (EST hours; optional access to NYC office) Start Date Is: ASAP Duration: Permanent Compensation Range: $130,000 – $150,000 base salary bonus Benefits: Medical, dental, vision, 401k, PTO Not eligible for visa sponsorship Job Description: Lead the design and delivery of analytics and AI solutions by turning business needs into scalable data pipelines, models, and production-ready technical solutions. Day-to-Day Responsibilities: * Partner with business stakeholders to gather requirements and translate problems into AI and analytics solutions * Design and build scalable data pipelines, ETL/ELT workflows, and data platform components * Write hands-on code in Python and SQL to develop pipelines, models, and supporting solutions * Build and optimize solutions in Databricks for analytics, reporting, and AI use cases * Create documentation and technical requirements for offshore development teams * Guide offshore execution and ensure solutions are delivered accurately and efficiently * Improve data quality, performance, monitoring, and reliability across pipelines and platforms * Support analytics, business intelligence, reporting, and AI initiatives with scalable data architecture Requirements: Must-Haves: * 6–10 years of experience in data engineering, analytics engineering, or related roles * Strong hands-on Python and SQL skills * Experience building and maintaining ETL/ELT pipelines and data workflows * Strong background in data engineering, data pipelines, and data warehousing * Databricks experience * Experience designing and delivering data and AI solutions * Ability to translate business needs into technical solutions * Strong communication skills and comfort in a client-facing environment * Bachelor's degree in Computer Science, Engineering, Information Systems, or related field Nice-to-Haves: * AWS experience * Experience with AI/ML tools or AI solution development * Experience with workflow orchestration tools such as Airflow * Experience with API-based ingestion and modern cloud data platforms * Experience supporting near real-time analytics or reporting environments

Job Description Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role Voice Telecommunication is a critical channel for accounts receivable. Customers pick up the phone. Agents need to call. Transfers need to work. Voicemails need to land. We are building AI agents that do real work across collections, cash application, disputes, customer communications and the phone is where much of that work happens. We're hiring a Lead Voice Infrastructure Engineer to build the foundation for AI-driven voice at Stuut. You'll work closely with our engineering, product, and go-to-market teams to design and operate the voice infrastructure that powers production phone interactions at scale. This role sits at the intersection of telephony infrastructure, realtime voice systems, AI voice agents, and finance workflows. We are looking for someone who has real depth in telephony, can build distributed systems that hold up under production pressure, and understands that infrastructure decisions shape product outcomes. You will own the systems that determine whether calls connect, transfers complete, and business results get measured. This is the first dedicated voice infrastructure hire at Stuut. You will define how we build this. What You’ll Do * Design, build, and operate telephony services that manage phone numbers, SIP trunks, carrier integrations, and call routing at scale * Develop reliable signaling and media systems that bridge traditional telephony with realtime voice infrastructure and AI pipelines * Build and improve core voice workflows: outbound calling, inbound routing, warm transfer, voicemail handling, DTMF interaction, and human handoff * Work closely with speech and AI systems across STT, TTS, turn-taking, interruption handling, and agent orchestration * Improve call quality, latency, reliability, and debuggability across the voice stack * Build internal APIs and platform primitives that make voice capabilities accessible to product and engineering teams * Instrument voice workflows so we can measure business outcomes: answer rates, transfer success, voicemail outcomes, and resolution rates * Work with carriers and external vendors to expand coverage, improve routing performance, and handle regulatory or operational requirements * Dive into production issues when needed, including packet captures, signaling traces, vendor debugging, and incident response You Might Be a Fit If You… * Are a strong senior software engineer with experience building distributed backend systems * Have meaningful experience with telephony systems: SIP, RTP, PSTN connectivity, trunks, number provisioning, or call routing * Are comfortable working on realtime media systems where latency, reliability, and observability matter * Can debug across layers, from APIs and backend services down to protocols, signaling flows, and packet-level issues * Think beyond code and understand how infrastructure decisions affect product behavior, developer experience, and end-user trust * Are pragmatic, hands-on, and able to move between architecture and direct execution * Have experience with WebRTC, realtime media platforms, or speech systems (streaming STT, TTS, turn detection, conversational voice agents) * Have worked with contact center workflows, IVR systems, or enterprise telephony integrations * Have experience with Go, Python, C, or C++ * Are excited about building the infrastructure that will define AI-powered business communication over the next decade Compensation * Top-of-market salary and equity package * Benefits (for U.S.-based full-time employees) * Medical, dental & vision insurance coverage for you * 401(k) & Match * Equity * Flexible PTO * Parental Leave Compensation Range: $185K - $250K

Job DescriptionAbout SmartAsset: SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month (as of January 2025) through our educational content and personalized calculators and tools. To extend our mission, we also operate SmartAsset Advisor Marketing Platform (AMP), which helps connect consumers with fiduciary financial advisors.SmartAsset has earned recognition on the Inc. 5000 (#2574 in 2023) and Deloitte Technology Fast 500™ (#250 in 2022) lists. Currently, SmartAsset ranks on Y Combinator's list of Top 100 Companies. A successful $110 million Series D funding round in 2021 valued the company at over $1 billion. *Other than application and licensing fees, SmartAsset did not provide compensation for the aforementioned awards. About the team: The Machine Learning Engineering team designs, builds, and integrates the core platform that unlocks cutting-edge capabilities for financial advisors, including features driven by generative AI. Our engineers are relentlessly evolving this platform, empowering groundbreaking applications and features that truly help financial professionals better connect with their clients and grow their businesses. About the Job: We are seeking a highly motivated and experienced Machine Learning Engineer to join our growing team. In this role, you will be instrumental in crafting and scaling foundational backend systems across predictive systems and generative AI. You will work across the entire software development lifecycle, from architectural design to deployment and ongoing operations, contributing significantly to our core infrastructure and data strategies, and working hand-in-hand with cross-functional partners like LLM Engineers, Product Owners, and Data Scientists to bring our vision to life. Responsibilities: • Design, develop, and maintain high-performance, scalable, and secure backend services, primarily using Python and frameworks like FastAPI, • Translate ambiguous business and technical requirements into concrete software designs and actionable tasks for cross-functional teams, • Work with OLTP databases, including schema design, migration strategies, and performance optimization, • Integrate SmartAsset services with internal and external APIs, including third-party platforms and existing AWS infrastructure, • Ensure secure ingress and egress of data within our private network environments, • Contribute to the design and implementation of our CI/CD pipelines to ensure continual improvements to our cycle time, • Manage and optimize AWS services, including IAM roles and policies, • Gain a deep understanding of how our Python applications integrate with our Kubernetes (EKS) and future ECS-based infrastructure, • Operate and maintain production applications at scale, ensuring high availability, performance, and reliability, • Design and implement data collection pipelines specifically for Large Language Models (LLMs), • Contributed to shared data architecture and data governance practices to ensure the persistence of structured data suitable for analytics and model training, • Explore, integrate, and tune various LLM-related technologies, such as Retrieval Augmented Generation (RAG) systems, and addressing potential scaling challenges, • Investigate and implement agentic technologies, such as tool calling frameworks (e.g., AutoGen), to enhance LLM capabilities, • Proven experience as a ML Engineer with a strong focus on Python development, • Experience with cloud platforms, specifically AWS, including IAM, EKS/ECS, and other core services, • Strong expertise with OLTP/relational databases such as Aurora, Postgres, MySQL etc, • Experience with DevOps toolsets such as Terraform, Open-Telemetry, etc. will be a big plus, • Strong experience in developing and maintaining large-scale, production-grade applications, • Experience in writing clean, maintainable, and testable code following best practices and industry standards, • Experience building integrations with internal and external service providers, • At least 5 years of relevant working experience., • Excellent communication skills, both written and verbal, • Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, etc., • Experience with LLMs, RAG, embedding vector databases, or agentic technologies., • Familiarity with productionizing apps built with prototyping frameworks such as Streamlit or Gradio, • Knowledge of data governance and structured data principles, • Prolonged periods of sitting at a desk and working on a computer, • Must be able to communicate via phone calls and/or video conferences (mainly for concierge and sales roles) Available Benefits and Perks:, • All roles at SmartAsset are currently and will remain remote - flexibility to work from anywhere in the Contiguous US., • Medical, Dental, Vision - multiple packages available based on your individualized needs, • Life/AD&D Insurance - basic coverage at 100% company paid, additional supplemental available, • Supplemental Short-term and Long-term Disability, • FSA: Medical and Dependant Care, • 401K, • Equity packages for each role, • Time Off: Vacation, Sick and Parental Leave, • EAP (Employee Assistance Program), • Financial Literacy Mentoring Program, • Pet Insurance California, Colorado, Connecticut, Maryland, Nevada, Rhode Island, Washington, and New York City residents $137,000 - $180,000 + RSUs + benefits. Salary at SmartAsset is determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the contiguous United States.

Job Description About Us Daat Lab is an AI venture studio that collaborates directly with businesses to transform deep domain expertise into valuable, commercial-grade AI products. We assist companies in identifying and validating high-impact, AI-feasible use cases. Our process spans from initial ideation and building a proof of concept to developing a fully commercializable product and successfully launching it in the market. We maintain an active presence across multiple sectors, including real estate, digital marketing/e-commerce, and health, with an ambitious goal of adding one new product to our portfolio every month. About the Role We are looking for a software engineer to help take concepts from ideas to product. You will work directly with our strategy team and business partners to identify high-value, AI-feasible opportunities, shape product direction, and execute quickly. You’ll own the full product cycle including: discovery, prototyping, building, shipping, and iteration, often across multiple projects at once. This is a hands-on role for someone who thrives in ambiguity, moves fast, and likes being close to customers. What You’ll Do: • Own multiple projects from end to end: brainstorming product concepts, generating POCs to be evaluated and owning builds to reach a minimum viable product., • Build full-stack applications (backend, frontend, data layer, infra, deployment, and monitoring)., • Experiment with AI functionality on each case: classical ML when needed (forecasting, scoring, classification), plus LLM/agent workflows and evaluation loops, • Establish engineering standards: code quality, CI/CD hygiene, logging/analytics, basic security, • You should have:, • 3+ years shipping full-stack products end-to-end, • Strong Python and modern web stack (React/Next.js + APIs + DB + deployments), • Data processing and Machine learning fundamentals (pandas, Sklearn, pytorch/tensorflow, model evaluation), • Experience experimenting with LLMs and Agent frameworks (Open AI SDK, Google ADK, Langchain/Langraph, MCP), • Comfort with ambiguity, fast cycles, and customer-facing iteration, • What Success Looks Like:, • Ship multiple POCs that clearly validate feasibility and ROI, • Salary: $110 - 140k (full-time hire, will start as a 1099 contractor) Please note: Daat Lab is a separate entity, unrelated to Alchemy Worx.

Job Description Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Staff AI Engineer in our New York City office. About the Role: The role is for the Identity team at Applecart. The team builds and maintains best in class identity data products, tying multiple systems and data sources together. As a Staff AI Engineer, you will be responsible for leading the design and deployment of our next-generation AI-powered platforms. You will shape the technical destiny of our organization, moving beyond individual features to architect the agentic ecosystems that will handle our next phase of growth. This role will report to the Director of Engineering. What You'll Do: • Lead the design of end-to-end AI solutions using foundation models, multi-agent orchestration (MAS), and RAG pipelines. Ensure that today's technology choices support long-term scalability., • Identify systemic risks and infrastructure bottlenecks before they impact production and ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management., • Mentor other engineers. Provide design feedback that teaches thinking, recommends scalable abstractions, and builds a culture of technical excellence., • Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure., • Stay up to date with industry advancements in GenAI and apply modern technologies and methodologies to our systems., • You have 8+ years of professional software development experience, especially in the fields of data engineering and AI/ML, • Deep expertise in applied AI/ML techniques (Deep Learning, NLP, GNNs), technologies (Agentic AI, RAG, Prompt/Context Engineering), and fluency in Python or a similar backend language, • You have designed and implemented scalable data processing pipelines, and understand how to store and retrieve large sets of data, • You have experience implementing various data warehousing architectures, including products like Snowflake or Databricks, • You have proven records of leading AI/ML projects, ideally RAG applications, • Proven experience with agentic frameworks (LangGraph, CrewAI, AutoGen) and modern data infrastructure (Kafka, Spark, Vector Search)., • Hands-on experiences with graph data models and graph data processing (with graph data engines such as Neo4 or PuppyGraph) is a big plus., • You have hands-on experience in implementing the Lakehouse architecture., • You are familiar with identity resolution and have experience building identity resolution systems., • You have experience with backend API designing and implementation, • You have experience optimizing the end to end performance of distributed systems Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $200,000 - 250,000 based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 4 years, we've increased our revenue by 10X, grown our headcount by almost 5X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, and alums of top-tier organizations like Bain & Company, Amazon and Simpson Thacher., • Applecart raised a $100M Series C from Blackstone's tech growth fund at the end of 2025. The company's other investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME, Wayne Berman, Blackstone's Head of Global Government Affairs, and Risa Heller, CEO of HELLER, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV, and The Colbert Report, and in Axios, Semafor, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job Description Tabs is the leading AI-native revenue platform for modern finance and accounting teams. Tabs agents automates the entire contract-to-cash lifecycle, including billing, collections, revenue recognition, and reporting, to help teams eliminate manual work and accelerate cash flow. High-growth companies like Cursor and Statsig rely on Tabs to generate invoices directly from contracts, reconcile payments in real time, and automate ASC 606 compliance. Founded in 2023, Tabs has raised over $91 million from Lightspeed Venture Partners, General Catalyst, and Primary. The team is headquartered in New York and brings deep expertise in finance and AI. About the Role We’re looking for a Staff Site Reliability Engineer to lead the evolution of Tabs’ platform as we scale. In this role, you’ll operate as a senior individual contributor, partnering closely with engineering and product teams to design, build, and operate systems that are reliable, observable, and easy to develop on. You’ll own our infrastructure direction, shape how we ship software, and set the standard for operational excellence across the company. This is a high-impact role for someone who enjoys solving complex systems problems, influencing architecture, and raising the reliability bar without becoming a gatekeeper. What You’ll Own * AWS infrastructure direction and platform evolution, including the migration from ECS/Fargate toward a more modern, scalable runtime * CI/CD systems with a strong emphasis on developer experience, safety, and automation (GitHub Actions today; maturing CD tomorrow) * Ephemeral environments and preview deploys to speed iteration and increase confidence in changes * Observability standards across metrics, logs, and tracing, including alert hygiene, dashboards, and SLO development * Incident response, postmortems, and the reliability culture that surrounds them What You’ll Do * Define and evolve reliability standards, SLIs, SLOs, and error budgets * Improve observability, alerting, and incident processes across services * Lead high-severity incidents and drive clear, actionable follow-ups * Partner with engineering teams to design resilient, scalable systems * Build automation to reduce toil and lower operational risk * Mentor engineers and influence best practices across teams Who You Are * You’ve run production systems on AWS and can lead platform-level change * You think in systems: risk, rollback strategy, blast radius, and feedback loops * You treat CI/CD and environments as products that should be fast, reliable, and self-serve * You influence through trust and clarity rather than control * You balance pragmatism with long-term system health * You value learning from failure and improving processes over assigning blame * You communicate clearly and work well across teams Experience * 10+ years in SRE, infrastructure, or backend engineering roles * Strong software engineering experience in one or more modern languages * Expertise operating distributed systems in production at scale * Deep experience with AWS, observability tooling, and CI/CD systems * Comfortable navigating ambiguity and setting direction in a fast-moving environment Additional Information This role is based onsite in our Soho office in New York City. Perks and Benefits (Full-time Employees) * Competitive compensation and equity * Unlimited PTO * Up to 100% employer covered monthly healthcare premium (medical, dental, vision) * Lunch provided via Sharebite, plus dinner for any later office days. * Parental leave up to 12 weeks * Tax free commuter and parking benefits * Voluntary insurances (Life, Hospital, Critical Illness, Accident) * Employee Assistance Program (Rightway) * Free One Medical Membership * 401k Tabs is an equal opportunity employer. We welcome teammates of all identities and do not discriminate on the basis of race, ethnicity, religion, gender identity, sexual orientation, age, disability, veteran status, or any other protected characteristic. We’re committed to creating an environment where everyone can grow, contribute, and feel comfortable being themselves. Compensation Range: $200K - $250K

Job Description Tabs is the leading AI-native revenue platform for modern finance and accounting teams. Tabs agents automates the entire contract-to-cash lifecycle, including billing, collections, revenue recognition, and reporting, to help teams eliminate manual work and accelerate cash flow. High-growth companies like Cursor and Statsig rely on Tabs to generate invoices directly from contracts, reconcile payments in real time, and automate ASC 606 compliance. Founded in 2023, Tabs has raised over $91 million from Lightspeed Venture Partners, General Catalyst, and Primary. The team is headquartered in New York and brings deep expertise in finance and AI. About the role You’ll be the first Data Engineer at Tabs, building the core data infrastructure that powers our internal KPIs, customer insights, and our AI systems. Your initial mandate is to design and implement the foundational data platform around our core metrics, and set us up for long-term analytical scalability. This role is ideal for an engineer who has built a data platform end to end and wants ownership of the full data stack. You’re comfortable operating in ambiguity and focused on driving real business impact. What you’ll do * Design and implement our first scalable data warehouse/lakehouse to support KPIs. * Build and maintain reliable data pipelines (batch and/or streaming) from application databases and third-party tools. * Work with leadership to translate business metrics into concrete data models and schemas. * Define and own data modeling standards and best practices. * Implement monitoring, data quality checks, and observability around pipelines and core tables. * Enable BI and data analysts through well structured models and self-serve friendly datasets. * Document the data platform (lineage, definitions, contracts) and help establish a shared source of truth for metrics. Experience * 3–5+ years of experience as a Data Engineer, ideally in a mid-stage startup. * Solid programming skills in Python. * Strong SQL skills and experience designing/data modeling for analytics * Hands-on experience with a modern cloud data stack, such as: * Warehouses: Snowflake, BigQuery, Redshift, Databricks, etc. * Orchestration/transformation: dbt, Airflow, Dagster, or similar. * Ingestion: Fivetran, Stitch, custom ingestion pipelines, etc. * Experience building and operating production-grade data pipelines (performance, reliability, cost-awareness). * Strong understanding of data quality, testing, and monitoring practices. * Comfort starting from a relatively greenfield environment and making pragmatic build vs. buy decisions. Nice to have * Experience supporting BI tools (Looker, Mode, Tableau, Metabase, etc) and designing semantic layers. * Experience in B2B SaaS, especially around revenue, usage, and customer health metrics. * Prior experience as an early data hire or working in a small or medium, fast-growing startup. Perks and Benefits (Full-time Employees) * Competitive compensation and equity * Unlimited PTO * Up to 100% employer covered monthly healthcare premium (medical, dental, vision) * Lunch provided via Sharebite, plus dinner for any later office days. * Parental leave up to 12 weeks * Tax free commuter and parking benefits * Voluntary insurances (Life, Hospital, Critical Illness, Accident) * Employee Assistance Program (Rightway) * Free One Medical Membership * 401k Tabs is an equal opportunity employer. We welcome teammates of all identities and do not discriminate on the basis of race, ethnicity, religion, gender identity, sexual orientation, age, disability, veteran status, or any other protected characteristic. We’re committed to creating an environment where everyone can grow, contribute, and feel comfortable being themselves. Compensation Range: $160K - $195K

Job Description About Project Healthy Minds Project Healthy Minds is a mental health nonprofit that runs like a tech startup. We are pioneering a first-of-its-kind model: applying technology to address one of the biggest social issues of our time: the growing mental health crisis. We believe in a simple but profound idea: that it should be as easy to find mental health services as it is to book a flight or a restaurant reservation. That's why we're building the world’s first digital marketplace for finding mental health services that are right for you. To do that, we work with some of the most inspiring and influential leaders in America - business titans, tech entrepreneurs, clinicians and scientists, musicians, artists, athletes, media stars, policymakers, and more - because we believe that the world's most complex challenges require interdisciplinary teams and solutions. We are backed by a powerhouse of industry-leading Board of Directors and Advisory Council Members who are passionate, hands-on, and dive into the important work with us. Learn more at projecthealthyminds.com and @projecthealthyminds on social. About The Role WHAT WE'RE LOOKING FOR The Product Engineer, Services builds and evaluates the LLM-enabled workflows that power PHM's services data — ensuring that the information users rely on to find mental health support is accurate, complete, and continuously improving. This role pairs (backend-leaning) full-stack engineering with a measurement-first approach to expanding data coverage and quality. WHAT YOU'LL DO • Build and maintain LLM-enabled workflows for acquiring, structuring, and enriching mental health services data from diverse sources, • Design and implement evaluation frameworks (evals) to measure the accuracy, completeness, and reliability of LLM outputs in production, • Partner with Product to define success criteria for new data workflows before building them, • Work closely with the Lead Engineer to divide and conquer across the services data domain — you expand coverage while they own core architecture, • Ship full-stack features end-to-end: backend data processing, API surfaces, and frontend tools for internal and external use, • Monitor and improve data quality through automated checks, dashboards, and feedback loops, • Use AI tools (e.g. Claude Code) as a default part of your development workflow, • Contribute to engineering standards through code reviews, documentation, and thoughtful technical discussion WHAT YOU'LL BRING • Production experience with TypeScript and Node.js (NestJS or similar backend frameworks), • Familiarity with Next.js or comparable frontend frameworks — comfortable across the stack, • Interest in and aptitude for building LLM-powered workflows — you don't need to have built this before, but you need to want to, and you have a track record of learning quickly, • A measurement mindset: you think about how to know whether something is working before you build it, • Demonstrated adoption of AI-assisted development (Claude Code, Cursor, or equivalent), • Comfort working with messy, multi-source data — you don't need clean inputs to make progress, • A collaborative, low-ego working style — you'll pair closely with a lead engineer and a small team, • A belief in our mission: connecting millions of Americans to mental health services that actually work for them WHY THIS IS A UNIQUE OPPORTUNITY • A world-class Board, Clinical Advisory Committee, supporters, and collaborators. We've assembled a truly best-in-class network across business, academia, and media., • A big, bold vision with backing. Multi-year track record of strong YoY growth, funded by philanthropy and earned revenue., • Startup mindset, social mission ethos. You'll work with a team from venture-backed startups, market-leading enterprises, and everything in between — united by the chance to drive massive positive impact., • Own the quality layer for LLM-enabled services. You won't just build workflows — you'll define what "good" looks like and prove it with data. What We Offer • Competitive compensation, • Competitive medical, dental, and vision benefits, • Paid holidays and generous PTO, • Life insurance, • Short-term and long-term disability, • Spring Health mental healthcare, • Commuter benefits, • Perks at Work, • Experience joining a dynamic start-up environment that is re-writing the playbook for social change in the mental health tech space, • Benefits of joining a close-knit, highly-motivated team with mentorship opportunities from a world-class network of founding leaders, Advisors, and Board members, • Learning & Development opportunities, including free MasterClass subscriptions, • Opportunity to attend inspiring experiences and events with thought leaders, business executives, and iconic speakers across a range of industries, • And more (just ask!) The annual salary for this role is $155,000–$195,000, commensurate with experience and fit. EEO Guidelines: Project Healthy Minds is an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. Project Healthy Minds will provide reasonable accommodations as required by applicable federal, state, and/or local laws, and will consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable "Fair Chance" laws. COVID Guidelines: The health and safety of our Project Healthy Minds community is the highest priority. As such, Project Healthy Minds is requiring all newly hired staff members to be fully vaccinated and boosted with an FDA authorized and/or approved COVID-19 vaccine as a condition of employment. Requests for reasonable accommodations for medical, religious, or other reasons will be considered in accordance with applicable law. Due to the high volume of applications received, only those selected for an interview will be contacted. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Senior Software Engineer (Agentic AI / Healthcare) Location: New York, NY (Manhattan), Hybrid (3 days onsite) Compensation: $150,000–$250,000 base + equity Contact / Apply: Ryan Johnston - About Our Client Our client is a venture-backed healthcare technology company based in New York and Toronto, building agentic AI solutions that reimagine how medications are prescribed, verified, and supported across the pharmacy ecosystem. Backed by $4M in funding and trusted by multiple Fortune 50 healthcare organizations, they're scaling quickly and expanding their AI product line. As an early engineering hire, you'll play a meaningful role in shaping architecture, shipping production systems, and balancing speed with quality. The work directly impacts pharmacy workflows and, most importantly, patient outcomes. Mission Our client is building a world where medication delays are impossible. From the moment a prescription is written, the path to therapy start should be clear, fast, and predictable. Their platform connects the fragmented steps that slow medication access, intake, coordination, utilization management, and clinical services, so patients start therapy sooner. The Role Our client is hiring a Senior Software Engineer to design and build autonomous, agentic systems that run complex, multi-step pharmaceutical workflows end-to-end. This is a backend-leaning role with broad scope: you'll work across orchestration, integrations, reliability/observability, and the practical realities of healthcare systems. This role is ideal for someone who enjoys ambiguous problems, can ship end-to-end, and wants to build real product in a regulated, high-stakes domain. What You'll Do * Design and build autonomous agents that handle multi-step pharmacy workflows end-to-end * Architect communication systems that coordinate across organizational boundaries (providers, payers, pharmacies, vendors) * Build orchestration layers for long-running tasks, including graceful failure handling and human-in-the-loop escalation * Develop frameworks enabling agents to interact with external pharmacy systems, databases, and APIs * Implement evaluation + observability infrastructure to monitor agent behavior in production (quality, drift, failure modes) * Integrate with healthcare data standards and legacy pharmacy systems * Scale systems for real-time processing across multiple pharmacy networks What Our Client Is Looking For Must-Have Qualifications * 5+ years of software engineering experience with a strong backend focus * Proficiency in Python or TypeScript and deep backend fundamentals (APIs, data stores, concurrency, distributed systems) * Experience with service-oriented architectures and web frameworks (FastAPI, Flask, or equivalent) * Strong API design skills (clean, versioned APIs) * Familiarity with caching, messaging, and databases (e.g., Redis, Kafka, SQL/NoSQL, vector databases) and how to apply them for performance and reliability * Cloud experience (Azure, AWS, or GCP) * Experience building and deploying agentic AI systems, including tool use, planning, memory, and orchestration patterns * Proven ability to ship ambiguous projects end-to-end with minimal guidance and own outcomes * Based in NYC and able to commute to Manhattan 3 days/week Nice-to-Haves * Experience integrating with healthcare/pharmacy systems or healthcare data standards * Experience building evaluation harnesses for agent reliability and hallucination mitigation * Prior work in regulated environments where correctness and auditability matter Compensation & Perks * Competitive compensation: $150k–$250k base + stock options * Full medical, dental, vision coverage * Unlimited PTO + 2 weeks company-wide holiday closure * Complimentary breakfast daily and weekly team lunches (in-office) * Professional development stipend Why This Role This is a rare opportunity to be early, own architecture, and build agentic systems that directly improve medication access—where execution quality matters and the impact is tangible.

Job Description Senior Software Engineer (Backend Focus) - New York (3 days a week Onsite) We are looking for a Staff Software Engineer with 7-8+ years of experience to architect the core intelligence behind our product. This individual will be crucial in defining scalable frameworks for data ingestion, ranking, personalization, and model orchestration, ensuring highly personalized and high-quality results for venture capital firms. They will also lead agentic experimentation and evaluation, pushing the boundaries of AI and LLM integrations in production to redefine software and push on this frontier. Mandatory:- 7+ years of experience in backend software engineering, building distributed systems or large scale backend architecture Designed and scaled search/recommendation/ranking systems Led or heavily contributed to ML/LLM integrations in production Track record of technical leadership and mentoring What will you be doing? • Architect the end-to-end sourcing engine from data ingestion, ranking, personalization, and model orchestration., • Define scalable frameworks for retrieval, reranking, and LLM driven evaluation., • Drive technical discovery for emerging technologies like memory systems, schema, prompt libraries, and agentic frameworks., • Partner with product and design to define intuitive and fast LLM powered sourcing patterns., • Mentor and guide engineers, raising the bar for system design, documentation, and technical decision making.

Job Description Product Engineer - New York City (Hybrid - 3 days in Office) The company is building agentic AI tools to transform administrative workflows at healthcare organizations. We've started with home health, where we help agencies reduce administrative burden, get paid faster, and focus more on patient care — not paperwork. Our platform automates workflows like prior auth, eligibility checks, and benefit verification by integrating deeply into providers' operations and systems. We're a fast-moving, founder-led startup backed by top-tier investors and built by a team with deep experience in healthcare, operations, and applied AI. About the Role We're hiring a hands-on Product Lead Engineer who will own an entire slice of our AI platform. You'll pair your product intuition with engineering chops to design and ship automation in one of our critical healthcare domains, such as accounts receivable. You'll partner daily with our engineers and RCM subject-matter experts to translate real-world edge cases into clear specs and measurable wins. We expect the right candidate to evolve from this role into a full-fledged Director of Product Engineering with responsibility for their healthcare domain of ownership. Responsibilities End-to-End Automation Vision You connect the dots from clinician note to paid claim • Map user journey flow and turn it into a clear product roadmap, • Define success metrics and set OKRs around them You translate ideas into shipped products that move numbers • Lead discovery sessions, quick prototypes, and spec writing for product workflows (e.g., voice capture workflow for Voice Scribe product), • Pair with engineering teams to choose the right models, rules, or APIs You keep the system accurate, secure, and always learning • Instrument live dashboards for accuracy, latency, and cash-flow KPIs; investigate outliers and ship rapid fixes, • Build human-in-the-loop reviews where needed, feeding every approve/edit/reject back into model or rule tuning, • Data-driven mindset—you monitor accuracy, denial impact, and cycle time, then iterate rapidly to lift the numbers, • Clear communicator who can interview coders, present trade-offs to leadership, and document decisions for engineers, • Security & privacy savvy, designing features that protect PHI and withstand payer or regulatory audits Infra/Ops: AWS, Terraform, Docker, Datadog, Sentry, Modal, Frontend: Next JS, React, Posthog, Amplify AWS, Backend: FastAPI, Pydantic, PostgreSQL

Job Description Mark43 is approved to hire in Canada, the UK, and 36 U.S. states, including Alabama, Arizona, California (excluding San Francisco), Colorado, Connecticut, Washington D.C., Florida, Georgia, Iowa, Idaho, Illinois, Indiana, Kansas, Massachusetts, Maryland, Maine, Michigan, Minnesota, Missouri, North Carolina, Nebraska, New Hampshire, New Jersey, New Mexico, New York, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Vermont, Washington, Wisconsin, and West Virginia. Before applying to a remote role, please ensure that you are able to perform the position in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift. Applicants must be authorized to work for any employer in the country in which the role is being hired. We are unable to sponsor or take over sponsorship of an employment visa at this time. Mark43's mission is to empower communities and their governments with new technologies that improve safety and quality of life for all. We build powerful, scalable, and elegant software that sets a new standard for the tools on which first responders rely. Our users are diverse, and we are committed to embracing diversity of thought and experience within our team. We are looking for an experienced Lead Software Engineer - Universal Search to lead the next phase of our 3rd party search and data integration platform at Mark43. In this role, you will own some of the most complex and impactful technical initiatives within the Universal Search domain, building and scaling the systems that power fast, accurate, secure access to critical data across our RMS, CAD, and analytics products. You will drive architecture across service boundaries, shape platform direction with cross-functional partners, and raise the technical bar for distributed systems, real-time indexing, authorization-aware retrieval, and search reliability in support of life-saving decision making for public safety users. Applicants must be authorized to work for any employer in the country in which the role is being hired. We are unable to sponsor or take over sponsorship of an employment visa at this time. What You'll Do If you were on our team last week, you might have: • Led the technical design and execution of a major expansion of the universal search platform across RMS, CAD, analytics, and adjacent product surfaces, aligning multiple teams on architecture, sequencing, and long-term scalability., • Defined extensibility patterns and integration approaches for onboarding new internal and third-party data sources, balancing speed of delivery with maintainability, security, and operational excellence., • Reviewed and elevated designs and pull requests across authorization, index mappings, query paths, and service contracts, giving clear, high-leverage feedback that improved performance, resilience, and developer productivity., • Coordinated a complex release across multiple services and stakeholders, proactively managing risks, dependencies, and rollout strategy to deliver safely with minimal customer impact., • Owned the end-to-end delivery of a permission-aware global search capability, driving decisions from discovery and technical design through implementation, launch, observability, and iterative improvement., • Mentored engineers across the team, coached teammates through ambiguous technical decisions, and actively raised the quality bar on system design, testing strategy, and maintainable code. We are looking for a senior technical leader with 8+ years of professional software engineering experience who can independently lead large, ambiguous initiatives, influence technical decisions beyond their immediate team, and operate with a high degree of ownership in a distributed systems environment. Must-Haves: • Proficiency in Java with deep backend engineering experience, along with full-stack skills in React and TypeScript, and a proven track record of writing production-ready, well-tested, maintainable code., • Experience designing and integrating with third-party and internal systems to support search and data access across multiple product domains., • Experience with event-driven architectures using tools such as Amazon SNS, Amazon SQS, or Kinesis, including designing for resilience, observability, and iterative evolution., • Strong experience with AWS services such as Lambda, API Gateway, Step Functions, S3, ECS/EKS, DynamoDB, Aurora/RDS, IAM, and CloudWatch., • Demonstrated ability to use modern engineering tools, including AI-assisted development workflows where appropriate, to improve delivery velocity while preserving quality, security, and maintainability., • Strong understanding of indexing strategies, document and schema design, query optimization, and search relevance tradeoffs at scale., • Comfort leading delivery in CI/CD and Infrastructure-as-Code environments within a serverless-first, microservices-based architecture., • Excellent written and verbal communication skills, with the ability to influence technical and non-technical stakeholders across a division., • Demonstrated strength in system design: architectures services and APIs for scale, iterative delivery, and lower long-term cost of change., • Track record of leading large projects involving multiple engineers, proactively identifying dependencies, managing ambiguity, and delivering high-quality outcomes., • Ability to drive testing strategy, observability, and operational readiness across multiple areas of the product., • Experience owning platform or product capabilities that span multiple teams, tenants, or domains., • Familiarity with public safety, regulated domains, or other mission-critical software environments., • Mission-driven - You care deeply about building technology that improves lives and strengthens communities., • Curious and humble - You seek out different perspectives, ask thoughtful questions, and influence through credibility rather than title., • Team-oriented - You collaborate effectively across engineering, product, design, infrastructure, and support to deliver durable outcomes., • Growth-minded - You invest in your own development and actively help level up the engineers around you. Candidates must be located in the United States Our Privacy Notice describes how Mark43 uses and protects the personal information of prospective employees during the recruitment process. It informs you about our handling of the personal information you provide to us when you apply for a position in our organization and in general when you express your interest in joining our team. As a part of Mark43's security measures all employees must: Engage in appropriate use of the company's electronic information resources; Become knowledgeable about and follow relevant security policies and guidelines; Protect the resources under their control, such as passwords, computers, and data that they create, receive, or download; and Promptly report security-related incidents and violations, and responding to official reports of security incidents involving their systems or accounts. Mark43 is committed to the full inclusion of all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed, please email requesting the accommodation.

Job DescriptionPosition Overview Atlas Obscura is building a platform that helps millions of people discover the world's most extraordinary places and experiences. We're looking for a scrappy, design-obsessed engineer who builds consumer products the way great product teams do — fast, feel-first, and AI-to-the-core. This isn't a traditional engineering role. We don't need someone who's spent years maintaining legacy systems. We need someone who wakes up thinking about how to make a product feel magical, reaches for AI tools before reaching for boilerplate, and ships things that make people go "wait, how did they build that so fast?" You'll report to the SVP, Head of Engineering & Technology and work closely with Product and Design to build our new native mobile app from the ground up — alongside our web experience. Who You Are You're an AI-native builder. Claude, Codex, or Cursor aren't novelties for you. They're how you prototype, build, refactor, and ship. You've probably already built things with AI that have surprised people. You're a native mobile developer first. You know Swift and understand what makes an iOS app feel genuinely great versus one that feels like a website in a wrapper. You care deeply about how things feel. You've shipped consumer apps and sweated the details: animation curves, responsiveness, and the difference between a tap that feels good and one that doesn't. You think like a designer even if your title has never said so. You move fast and you like it that way. You're not waiting for a perfect spec. You prototype, learn, test, and iterate. You've probably iterated on something multiple times in the time it would take someone else to finish the first version. You come from the startup world. You know what it means to do a lot with a little. You're scrappy in the good sense: resourceful, low-ego, outcome-focused. What You’ll Build • A new native iOS app from scratch — this is a greenfield opportunity, • AI-powered product experiences that feel like the future, not like a chatbot bolted on, • Consumer-facing features on mobile that delight millions of people, • Fast prototypes that go from idea to something real in hours or days, • Brand partnership and editorial experiences that look great and work beautifullyWhat We’re Looking For, • You build with AI by default. Claude, Codex, Cursor, agents, and orchestrators are your everyday toolkit, • Strong native iOS development in Swift — this is a must, • React Native or similar experience for cross-platform flexibility, • You have shipped at least one app to the App Store — you know the submission process, crash analytics, push notifications, and what it actually takes to get something live in people's hands, • You think like a designer: obsessed with feel, flow, and delight, • You're strong on front-end and comfortable enough on the back end to not be blocked, but you don't need to be an infrastructure expert, • You've worked at a startup or early-stage product team, • You can prototype something compelling faster than most people can write a spec, • NYC-based or open to it (we're hybrid)Nice to Have, • Android / Kotlin experience, • Experience with AWS and basic DevOps, • Opportunity to shape the foundation of a platform in growth mode, • Chance to work with a passionate team dedicated to celebrating the world's hidden wonders, • A collaborative culture that values curiosity, creativity, and exploration, • Competitive salary of $115,000-$120,000 commensurate with experience, • Comprehensive health, dental, and vision insurance Powered by JazzHR SEmF6Ya2Ih

Job Description Product Engineer AI Systems Full-Time On-Site (Flatiron, NYC) $140K- $170K + Up to 0.50% Equity Step into a ground-floor engineering role at a fast-growing startup transforming the way state and local governments deliver public services. This team is nine months into building next-generation AI systems that replace outdated mainframes, paper-heavy workflows, and inefficient legacy processes. If you want to build software that has a real-world impact and see your work deployed in the hands of public officials, this role puts you at the center of it. Why This Role Matters Join a rapid-growth team already seeing strong revenue traction. Work directly with the founder to deliver AI-driven products from concept demo production. Help modernize essential government systems used by millions of people. Shape core internal tooling and pipeline orchestration behind advanced AI workflows. Take a true ownership role in a small, tight-knit engineering team located in NYC. Rare early-stage opportunity to influence both the product and the engineering culture. What You'll Do You'll wear two critical hats: 1. Build user-friendly, reliable software for government officials Replace outdated, paper-based, and mainframe processes with intuitive, modern tools. Partner closely with non-technical government users to understand workflows and ship solutions that actually fit their real-world needs. 2. Own internal tooling and AI pipeline orchestration Architect and maintain internal systems that coordinate complex, multi-step AI agents and workflows. Build demo-ready, full-stack applications that move quickly from prototype to production. Create high-quality internal tools used by analysts, support staff, caseworkers, and other humans in the loop. You'll Thrive Here If You Are Entrepreneurial Think like a founder: What is the real product need here? Comfortable with ambiguity and operating without fully specified tickets. Enjoy talking to non-technical users and turning messy processes into simple software. Fast at Building Able to move from idea to prototype to working demo quickly. Strong at feedback loops, UX flow, sample data setups, and iteration. Ruthless at prioritizing scope and shipping fast. Ops-Oriented Think in terms of systems, queues, retries, monitoring, and scaling. Comfortable managing pipelines that may run thousands of times per day. Enjoy building internal tools just as much as customer-facing features. What Were Looking For Must-Haves Strong project history demonstrating end-to-end ownership. Fluency in backend engineering (Python or Node) and modern frontend tools (React, TailwindCSS, similar). Experience using AI coding tools (Claude Code, Factory, Codex, Gemini CLI, etc.). Ability to spin up small full-stack apps: API, data model, UI, deployment. US work authorization and US citizenship. Ability to work in-person 5 days/week in Flatiron, NYC. Nice-to-Haves Startup or founding engineer experience. Familiarity with long-running workflows, background workers, queues, or agentic AI orchestration. Comfort speaking with customers and joining live demos. What This Role Is Not Not a pure frontend role; this is full-stack with meaningful backend responsibilities. Not a big-company environment with long roadmaps, expect fast context switching and a lot of ownership. Compensation & Details Salary: $140K - $170K Equity: Up to 0.50% Visa Sponsorship: Not available Work Model: Full-time, on-site (5 days/week) Location: Flatiron, New York City Tech Stack: Next.js; Python ; Tailwind CSS Interview Process Case study/project discussion with the hiring manager Technical interview (optional) On-site interview + scoped work trial (34 hours)

Job Description CVector’s mission is to bring real time economic optimization and AI prediction to every energy and manufacturing plant. Industrial facilities make decisions every minute that determine cost, reliability, and margin, but the signals that matter live in different worlds: live asset constraints and process reality on one side, feedstock prices, product prices, demand, and market dynamics on the other. We fuse those worlds into one decision layer that continuously forecasts what is coming, simulates what could happen, and optimizes what to do next, so plants can run closer to their true economic potential every day. This position works from our New York City office four days per week. CVector has customers across the United States and operates real-world systems in demanding industrial environments. Role Overview As a Senior Full Stack Software Engineer, you will play a key role in designing, building, and evolving CVector’s core platform—including our web applications, back-end data pipelines, and industrial gateways. You will help deliver robust, intuitive user experiences centered around real-time data visualization and operational insight, deployed in demanding environments such as power generation facilities and chemical plants. This role requires strong technical judgment, a bias toward shipping high-quality software, and a product-oriented mindset. You should be comfortable working across the stack, learning new technologies quickly, and taking ownership of complex problems in a fast-moving startup environment. You will collaborate closely with other engineers and will have opportunities to lead technical initiatives and influence architecture and product direction. Responsibilities As a Senior Full Stack Software Engineer, you will: • Lead development of real-time data visualization platform to create beautiful data visualizations and integrate inspiring AI-driven insights, • Design, implement, and deploy features and bug fixes across the full software stack, from front-end UI to back-end services and data stores, • Collaborate with product and design to translate user needs into well-scoped, high-quality technical solutions, • Ensure system reliability and maintainability through automated unit, integration, and end-to-end testing, • Participate in an on-call rotation and help improve operational tooling and observability, • Contribute to technical decision-making, architecture discussions, and code reviews, • Mentor junior engineers and help raise the overall quality and velocity of the team Our current technology stack includes Python, TypeScript, React, Supabase, MQTT, Figma, Arco Design, TigerData, PostgreSQL, and AWS, with development workflows managed through GitHub. A strong candidate will bring: • A relevant engineering degree or equivalent professional experience demonstrating a solid foundation in computer science, • 5+ years experience developing production software using Python and/or TypeScript, • Experience building modern web applications with front-end frameworks (e.g., React) and back-end services, • Familiarity with cloud infrastructure, databases, and real-time or event-driven systems, • Experience with data visualization, dashboards, or complex UI state is a strong plus, • Strong communication skills and the ability to collaborate effectively in a remote-first team, • Comfort working in a startup environment with evolving requirements and high ownership CVector provides team members with: • A competitive compensation package with meaningful equity upside, • A robust selection of health, dental, and vision insurance options, • Optional Health Flexible Spending Account (FSA), • Unlimited PTO with a three week minimum per year, plus additional sick days, • Top of the line work equipment and IT setup, including high performance laptops and a modern developer stack, • Unlimited access to the latest AI agent systems and productivity tools to help you move faster and build better, • Visa support for candidates currently based in the US, including employer sponsored visa applications where applicable The anticipated base salary range for this role is $125,000 to $150,000.

Job DescriptionSalary: $130,000 $140,000 Data Engineer FLSA Classification: Exempt Professional Position Summary The Data Engineer serves as a consultative technology partner to the business, responsible for designing, building, and optimizing data and automation solutions that improve operational efficiency, reporting accuracy, and decision-making across the organization. This role exercises independent judgment and advanced technical expertise while working directly with senior stakeholders. Essential Duties and Responsibilities • Partner with business stakeholders to identify automation and data optimization opportunities., • Translate business requirements into scalable technical architecture and solutions., • Architect, build, and optimize structured data pipelines and reporting environments using Azure SQL, Power Query, and related data technologies., • Implement and manage automation platforms in collaboration with vendors or internal teams, including Power Automate, Monday.com, Workato, and Power BI., • Experiment with AI tools such as ChatGPT and Microsoft Copilot to identify practical, scalable use cases., • Assess feasibility, limitations, and risks of AI-driven solutions, escalating mature ideas to specialized tools or applications when appropriate., • 5+ years of experience in data engineering, automation, or business-facing technical roles., • Advanced experience with relational databases (e.g., Azure SQL) and data transformation tools., • Experience implementing business process automation platforms., • Experience in Private Equity, financial services, or regulated environments, • Experience with Power BI reporting environments, • Exposure to enterprise AI/ML implementations Primarily office-based work requiring prolonged computer use and the ability to sit for extended periods. Compensation The base salary range for this position is $130,000 $140,000 annually. Final compensation will be determined based on experience, skills, and internal equity. Employment Statement Chelsea Tech is an at-will employer. This job description is intended to describe the general nature and level of work being performed and is not intended to be an exhaustive list of all responsibilities, duties, and skills required. Chelsea Tech is an equal opportunity employer and complies with all applicable federal, state, and local employment laws.

Job DescriptionABOUT US: Founded in 2020, Regal is the AI Agent Platform. Regal gives every company the tools to transform customer communications with delightful AI Agents that are connected to your data, easy to customize and monitor, always available, and ready to take action. Power better support, sales, and operations – with way less effort. Our founders, Alex Levin and Rebecca Greene, helped build Angi (Angie’s List, HomeAdvisor, and Handy) to over $1.5B in revenue. Based in Manhattan, we’re building an in-person culture of entrepreneurs who want to win and build something meaningful. We’re backed by top investors including Founder Collective, Homebrew, and Emergence Capital. Come join us as we create a category-defining company, and follow Regal's company page on LinkedIn to stay up-to-date on our journey and current job openings! We’re moving fast, and the numbers speak for themselves:- Partnered with enterprise brands like Google, AAA, Ro, Coursera- Raised $82M (top tier investors including Emergence & Homebrew)- Completed 250MM+ calls- Driven $7B revenue for customers- Scaled to $## ARR- Built amazing NYC (Midtown) in office culture ABOUT THE ROLE:We are looking for a Senior DevOps / Platform Engineer to design and operate the internal platform that enables engineers to ship quickly, safely, and reliably. This role goes beyond infrastructure management; you will build systems that make deployment, observability, scaling, and incident response increasingly automated and self-service for product teams. A key part of this role is supporting our AI-native engineering strategy: enabling the tools, environments, and workflows that allow our engineers to work effectively with AI coding assistants and agentic workflows at scale. OUR STACK: • Cloud: AWS, • Compute: ECS Fargate, Lambda, Event-Driven Services, • Infrastructure as Code: Terraform, • Languages: Python, TypeScript, Bash, • Datastores: Aurora Postgres, DynamoDB, Redis (Elasticache), OpenSearch, • Streaming & Queues: Kinesis, SQS, BullMQ, • CI/CD: GitHub Actions (Enterprise), • Observability: Datadog, AWS CloudWatch, • Architecture: Containerized APIs, Serverless Processing, Distributed Systems, • Designing and maintaining Infrastructure as Code using Terraform to provision and manage AWS infrastructure., • Building and evolving internal developer platforms (IDPs) that establish a golden path. These are opinionated, self-service workflows for deployment, environment provisioning, and operational tooling, so engineers spend less time on undifferentiated infrastructure decisions., • Supporting self-serve developer environments that enable engineers and AI agents to iterate quickly and independently., • Enabling and scaling AI-assisted engineering operations, including access management, adoption visibility, and developer productivity measurement across the team’s AI tooling., • Improving system reliability, scalability, and performance across distributed services and real-time workloads., • Optimizing CI/CD systems to reduce deployment friction and accelerate engineering feedback loops., • Operating production systems with strong ownership of uptime, incident response, and recovery automation., • Partnering with engineering teams to improve service architecture, resiliency, and operational maturity., • Improving cost efficiency and infrastructure utilization across AWS and other infrastructure., • Supporting secure and compliant cloud infrastructure aligned with SOC2 and enterprise security practices., • Participating in on-call rotations. ABOUT YOU: • 4+ years of experience in DevOps, Platform Engineering, or Cloud Infrastructure roles., • Deep experience operating production workloads on AWS., • Strong hands-on experience with Terraform or comparable IaC tooling., • Experience running containerized and serverless systems at scale., • Strong understanding of distributed systems reliability and failure modes., • Experience building CI/CD pipelines and developer automation tooling., • Experience with observability platforms such as Datadog, Prometheus, or OpenTelemetry., • Familiarity with incident response, on-call operations, and production debugging., • Working knowledge of networking, IAM, and cloud security best practices., • Comfortable collaborating across engineering teams and influencing technical direction.NICE TO HAVE:, • Experience building or operating Internal Developer Platforms (IDPs) with golden path tooling., • Experience building or managing self-serve developer environments at scale., • Exposure to AI coding tools (e.g., code assistants, agentic coding workflows) and the infrastructure required to support them., • Experience supporting AI/ML or real-time workloads., • Cost optimization and cloud efficiency initiatives., • Exposure to compliance frameworks (SOC2, HIPAA, PCI).BENEFITS/PERKS:, • We care about your health!, • Medical, Dental, and Vision plans - 80% covered by the company, • Flexible PTO & 11 paid holidays/year, • We care about future you!, • 401k Plan, • Paid parental leave, • Pre-tax commuter benefits, • We care about connection!, • In-office breakfast and snacks daily, • Happy hours, team outings, & annual off-sites, • Complete laptop workstation

Job Description Tabs is the leading AI-native revenue platform for modern finance and accounting teams. Tabs agents automates the entire contract-to-cash lifecycle, including billing, collections, revenue recognition, and reporting, to help teams eliminate manual work and accelerate cash flow. High-growth companies like Cursor and Statsig rely on Tabs to generate invoices directly from contracts, reconcile payments in real time, and automate ASC 606 compliance. Founded in 2023, Tabs has raised over $91 million from Lightspeed Venture Partners, General Catalyst, and Primary. The team is headquartered in New York and brings deep expertise in finance and AI. What You'll Do: * Own delivery end-to-end: Take customer projects from scoping through launch, managing scope, timelines, and stakeholder communication across a range of project sizes and urgency levels. * Act as a mini-PM: Clarify requirements, define scope, set milestones, and drive execution across internal and external stakeholders. Hold customers and teammates accountable to commitments. * Translate customer needs into solutions: Partner with customers to understand their workflows, data, and operational realities, then map those needs to what Tabs can deliver — through existing functionality, creative configuration, or new builds. * Partner with product and engineering: Identify gaps, escalate issues, and collaborate on solutions when out-of-the-box functionality isn't enough. Document learnings to inform the product roadmap. * Investigate and resolve customer issues: Operate in an FDE-style capacity when needed — digging into customer environments, third-party tools (ERPs, CRMs, payment and tax vendors), and edge cases to unblock progress. * Manage stakeholders: Build trusted relationships with customer-side operators, finance leaders, and system admins. Keep all parties aligned on priorities, risks, and next steps. * Document and scale: Capture learnings, patterns, and playbooks so the team gets faster and sharper with every project. Who You Are: * You're a proactive self-starter who thrives in ambiguity and doesn't wait for perfect requirements to move forward. You're resourceful and pragmatic — you gather context quickly, make reasonable assumptions, and find ways to unblock yourself and others. * You communicate clearly across audiences, whether that's a finance leader at a customer, an engineer on your team, or a CS partner trying to keep a customer happy. You balance customer expectations with internal realities and build trust on both sides. * You're a strong problem-solver and project manager who anticipates challenges, weighs tradeoffs between speed and quality, and drives projects to completion. You're systems-minded — comfortable reasoning about how pieces fit together, where edge cases live, and what could break — even if you're not the one writing the code. Above all, you're impact-driven and care about shipping outcomes that work for real users. Experience: * 3+ years in implementation, solutions, customer onboarding, technical project management, or a similar customer-facing role at a startup or fast-paced SaaS environment. * Demonstrated ability to scope and drive projects end-to-end in ambiguous environments, working with imperfect requirements and tight timelines. * Strong technical acumen — able to assess a customer's stack, reason about APIs, data flows, and integrations, and design workflows that hold up in production. You don't need to be an engineer, but you should be comfortable working closely with them. * Excellent cross-functional communicator with experience managing customer relationships and internal stakeholders simultaneously. Nice to Have: * Familiarity with SQL, Python, or confidence picking it up quickly. * Light Python experience, or willingness to learn enough to be self-sufficient on lightweight tooling. * Experience working in or alongside finance, accounting, or B2B operations workflows. * Exposure to ERPs, CRMs, or payment/tax systems (e.g., NetSuite, Salesforce, QuickBooks). * Advanced spreadsheet skills (Google Sheets / Excel). * Prior FDE or forward-deployed style experience investigating live customer environments. Perks and Benefits (Full-time Employees) * Competitive compensation and equity * Unlimited PTO * Up to 100% employer covered monthly healthcare premium (medical, dental, vision) * Lunch provided via Sharebite, plus dinner for any later in office days. * Parental leave up to 12 weeks * Tax free commuter and parking benefits * Voluntary insurances (Life, Hospital, Critical Illness, Accident) * Employee Assistance Program (Rightway) * Free One Medical Membership * 401k Tabs is an equal opportunity employer. We welcome teammates of all identities and do not discriminate on the basis of race, ethnicity, religion, gender identity, sexual orientation, age, disability, veteran status, or any other protected characteristic. We’re committed to creating an environment where everyone can grow, contribute, and feel comfortable being themselves. Compensation Range: $100K - $136K

Job Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is a Series C technology company leveraging advanced technology and responsible AI to accelerate decision-making, streamline compliance, and democratize insights for consistent, equitable compensation practices at scale. Backed by $83M in investments from Bessemer Venture Partners, Voyager Capital, and Emerson Collective, we are expanding our team and products to help companies align their rewards strategies with their business goals. Our customers are our greatest asset. Syndio partners with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance. We analyze pay for over 10 million employees across dozens of countries, ensuring fair, defensible rewards that drive better business outcomes. Join us in our mission to help companies make smarter pay decisions they can trust! About the role We are seeking a Senior Forward Deployed Engineer to serve as the technical architect and execution lead for our most critical client implementations. You will be a founding member of a team dedicated to the "last mile" of the Syndio experience - ensuring that our customers' complex data environments are seamlessly integrated into our platform and clients can be onboarded into our platform with minimum effort. In this role, you aren't just "onboarding" a client; you are building the data foundations that allow enterprise leaders to make fair, confident pay decisions. You will work at the intersection of Software Engineering and Solutions Architecture, using our new Implementation Platform and cutting-edge AI tools to transform disparate data into Decision Intelligence. Why this role is exciting • Hands-on Technical Execution: Own the end-to-end technical implementation for strategic clients, from initial data ingestion to complex group configurations in the Syndio platform., • Innovate with AI: Use advanced AI prompt engineering to navigate product exceptions and architect creative solutions for unique client edge cases that "out of the box" features don't yet cover., • Drive True Adoption: Ensure the platform isn't just "live"; it's embedded. You will design configurations that make Syndio an indispensable part of a client's daily HR and compensation workflow., • Modern Tech Stack: Work with modern integration tools and help migrate existing clients to our new, high-scale Implementation Platform., • Cross-Functional Impact: You will provide direct feedback to the Core Engineering and Product Teams and in some cases directly build the core product to help shape.Basic Requirements:, • 3-5+ years of experience as a Software Engineer, Forward Deployed Engineer, or Technical Solutions Consultant in a B2B SaaS environment., • Technical Proficiency: Strong hands-on experience with SQL and Python for data transformation and ETL processes., • AI Prompting Mastery: Proficiency in leveraging LLMs and AI prompting to accelerate complex implementations, automate data mapping and resolve technical product exceptions., • Integration Expertise: Experience working with APIs and modern iPaaS / Integration tools to move data between enterprise systems (HRIS, ATS, Payroll)., • Client-Centric Vision: Ability to lead technical deep-dives with client stakeholders, translating their business needs into platform configurations., • Operational Excellence: Proven ability to manage multiple complex technical workstreams simultaneously while maintaining high quality and documentation standards.About You:, • You are a "Technical Visionary": You don't just follow a checklist; you look at a client's data and requirements, and see the most efficient path to value., • You Thrive on Complexity: You enjoy the "puzzle" of mapping messy, real-world enterprise data into a structured platform., • You are a Strong Communicator: You can explain a complex SQL join to a non-technical HR leader and a product roadmap to a backend engineer., • You are an Early Adopter: You are excited about using AI to augment your workflow and are constantly looking for ways to automate repetitive implementation tasks., • You Value Partnerships: You work well cross-functionally and understand that successful implementations require a blend of technical precision and empathetic customer service.Why you'll love it here:, • 💰 Competitive Compensation. For this role our salary is targeted at $150-175k USD per year. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location., • 🏆 Syndio Equity. So you can share in Syndio's success., • 🏝 Generous vacation policy., • 🩺 Medical, Dental, Vision., • Complete onboarding on the Syndio platform and the "Decision Intelligence" vision., • Master the new Integration Platform and current data loading artifacts., • Shadow 2-3 strategic client implementations and identify potential automation opportunities., • Independently lead technical implementations for new clients., • Execute data migrations for a segment of the existing client base into the new Integration platform., • Build reusable "Implementation Artifacts" (scripts, prompts, templates) that reduce time-to-value for the whole team., • Manage a portfolio of high-complexity implementations for Syndio's most strategic accounts utilizing automation and other artifacts to maximize client's value in minimum time., • Help achieve the goal of migrating 70% of the client base to the new Integration platform solution., • 30 min phone call with a member of our Talent Team., • 45-60 min Zoom deep dive with the Hiring Manager (Director of Forward Deployed Engineering)., • 45 min technical interview with a Senior Engineer to walk through your code or logic., • 2-3 video interviews with key members of the Customer Success and Product teams. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.

Job DescriptionCompany Description For More Open Positions Visit us at: Our Mission WOONGJIN, Inc. is a rapidly growing team who provides a range of unique, exceptional, and enhanced services to our clients. We have a strong moral code that includes the service of goodness without expectations of reward. We are motivated by the sense of responsibility and servant leadership. Benefits • Medical Insurance, • Vision Insurance, • Dental Insurance, • 401(k), • Paid Sick hoursJob Description, • Design and develop algorithms for generative models using deep learning techniques, • Design and build LLM-powered applications for internal and/or customer-facing use cases, • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems, • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration, • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate, • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability, • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies, • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices, • Build monitoring, observability, and feedback loops for model and application performance in production, • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems, • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities, • Mentor other engineers and contribute to architecture, technical direction, and engineering best practicesQualifications Required Qualifications • Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience, • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production, • Strong programming skills in Python and experience with backend/API development, • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design, • Experience in optimizing RAG pipelines using both structured and unstructured data, • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent, • Experience in generative AI techniques such as GANs, and VAEs, • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search, • Experience with cloud platforms such as AWS, GCP, or Azure, • Experience with Docker, Kubernetes, CI/CD, and production deployment practices, • Strong understanding of software architecture, scalability, reliability, and distributed systems, • Experience building evaluation, testing, and monitoring for AI systems, • Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications • Experience fine-tuning or adapting open-source LLMs, • Advanced knowledge of natural language processing for text generation tasks, • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks, • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar, • Experience building multi-agent systems or advanced orchestration workflows, • Experience with AI safety, guardrails, red-teaming, privacy, and governance, • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems, • Experience in customer-facing or enterprise SaaS products, • Experience in semiconductor/manufacturing, retail and e-commerce sectors What Success Looks Like • Deliver production-ready GenAI features that improve user experience and business outcomes, • Build reliable and scalable AI systems with strong quality, latency, and cost performance, • Establish best practices for evaluation, observability, and responsible AI development, • Help define the company’s long-term Generative AI architecture and roadma Additional Information All your information will be kept confidential according to EEO guidelines. * NO C2C *