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As a Software Development Engineer III within the Audible Android team, you can help us innovate, develop, and deliver continued expansion of this much-loved product. As a Software Development Engineer III, it’s up to you to define, design and refine the tech that keeps us one step ahead of listen

At Guac, we're solving grocery food waste with AI. We forecast exactly how much of each product will sell, helping grocery retailers order and produce the perfect amount of inventory — and we're building AI-native tools that put those forecasts directly into the hands of store operators and buyers. \n \n The grocery industry is enormous (it accounts for 4% of GDP) — and grocery food waste is a huge cost to grocers' bottom lines, but also to our planet. \n \n Today, we're working with major supermarket chains in the US and Canada, and we've scaled to 7-figures in ARR. We're backed by leading investors including Y Combinator, 1984 Ventures, Collaborative Fund, and angels from Open AI, Instacart, and Citadel Securities. \n \n We've brought together an exceptional team from Palantir, BCG, Oxford, Cambridge, and MIT to solve intellectually challenging problems and tackle food insecurity and waste with technology. \n \n We're looking for talented forward deployed engineers in NYC to join our mission. \n About the Role\n \n As a Forward Deployed Engineer at Guac, you'll be the technical bridge between our products and our customers. You'll work directly with grocery retailers — from their IT teams to their store operators — to deeply understand their business, integrate with their systems, and ship custom solutions that make our products work for them. \n \n This isn't a role with tightly-scoped tickets. You'll own customer deployments end-to-end: scoping the integration, building the data pipelines, extending the recommendation engine, and standing alongside customers as we roll out across hundreds of stores. We're looking for engineers who can hold their own in a technical deep-dive with a customer's IT team in the morning, ship production code in the afternoon, and work on our products. \n \n Your responsibilities will include: \n \n Customer & Deployment \n \n\n • Collaborate directly with customers' technical teams to understand their IT infrastructure and integrate with their internal data systems\n, • Work with customers' supply chain and store operations teams to translate their unique business logic into code\n, • Own the end-to-end success of customer deployments, from kickoff through scaling across hundreds of stores\n, • Be the technical face of Guac on the ground — building trust, debugging live, and turning customer feedback into product\n\n \n Data & Backend \n \n\n • Design and build ETL pipelines that process billions of rows of data multiple times per day across customers, using Python, Dagster, and Pub/Sub\n, • Build and extend backend services (Python/FastAPI) that power our ordering and production planning products\n, • Extend our recommendation engine to meet the business needs of each new customer\n, • Expose our data and systems to LLMs via MCP servers, tool-use APIs, and similar protocols\n\n About You\n \n\n • 3+ years of relevant software engineering experience\n, • Strong proficiency in Python and SQL\n, • Proven experience designing and implementing ETL systems across large distributed datasets (Dagster, Airflow, or similar)\n, • Excellent communication skills and a commercial mindset — you've worked directly with customers and can hold your own in a room with both engineers and supply chain VPs\n, • Comfortable operating with ambiguity and minimal process — you thrive when given a problem and trusted to figure out the solution\n, • AI-native: you use Claude Code, Cursor, or similar AI coding tools daily and ship significantly faster because of it\n\n What We Offer\n \n\n • First-hand experience building an early-stage startup with real product ownership\n, • Compensation: $150k–$250k base + competitive equity\n, • Fully employer-paid healthcare (medical, dental, and vision)\n, • Unlimited vacation days\n, • Fully covered food expenses in the office (lunch/dinner)\n, • Free Equinox membership\n\n Our Tech Stack\n \n\n • Languages & Frameworks: Python, FastAPI, SQL\n, • Data & Pipelines: Dagster, Pub/Sub, BigQuery, Postgres, Dask\n, • Cloud & Infrastructure: GCP, Terraform, Docker\n, • AI: MCP servers, Anthropic/OpenAI APIs, agentic tooling\n\n \n Note: this is a 5x day a week in person role in NYC

Exciting Opportunity! We are currently looking for an Sr. Software Engineer (Java) for the location Jersey City, NJ.. This is a 6 months Right to hire Job and Please find the job descriptions below. \n \n Note: "Applicants must be authorized to work for any employer in the location of this role. We are unable to sponsor or take over sponsorship of employment visas at this time." \n \n Summary: \n As a Software Engineer III - Java at client within Enterprise Technology, you serve as a seasoned member of an agile team to design and deliver trusted, market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives, leveraging artificial intelligence (AI) and machine learning (ML) where appropriate to enhance product capabilities and efficiency. \n \n Skill set. \n\n • Java\n, • Spring boot\n, • API\n, • AWS\n\n \n Job responsibilities \n\n • Executes software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches—including the application of AI/ML techniques—to build solutions or break down technical problems.\n, • Creates secure and high-quality production code and maintains algorithms, including AI-driven algorithms, that run synchronously with appropriate systems.\n, • Produces architecture and design artifacts for complex applications, ensuring design constraints are met by software code development, and incorporates AI/ML components where they add value.\n, • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets, utilizing AI-powered analytics in service of continuous improvement of software applications and systems.\n, • Proactively identifies hidden problems and patterns in data, using AI and machine learning insights to drive improvements to coding hygiene and system architecture.\n, • Contributes to software engineering communities of practice and events that explore new and emerging technologies, including AI and ML advancements.\n, • Adds to team culture of diversity, opportunity, inclusion, and respect.\n\n \n Required qualifications, capabilities, and skills \n\n • Formal training or certification on software engineering concepts and 3+ years applied experience.\n, • Proficiency in coding with Java programming language\n, • Hands-on practical experience in system design, application development, testing\n\n

Early-stage impact — engineers joining now can materially influence architecture, engineering standards and product direction. Job Details The Mission We are seeking a Staff/Senior Software Engineer specializing in Agent Engineering to advance the agent runtime powering our platform's research, an

Senior AI Engineer - Agentic Systems \n Remote (NYC HQ) \n $200,000-225,000 Base Salary + Equity \n \n THE COMPANY \n Harnham is partnering with a high-growth AI-native technology company building a next-generation platform for the advertising and marketing industry. The business is transforming how organizations execute campaign strategy, creative development, media activation, and performance reporting through intelligent automation and autonomous workflows. \n This is an opportunity to join a highly experienced engineering team at a pivotal stage of growth, helping shape both customer-facing AI capabilities and the internal engineering practices that will define the company's future. \n \n RESPONSIBILITIES \n\n • Design and build production-grade agentic workflows, orchestration systems, tool integrations, and autonomous task execution capabilities.\n, • Partner with Product teams to translate complex advertising and marketing processes into reliable, agent-driven solutions.\n, • Develop the foundations required for deploying trustworthy AI systems, including evaluation frameworks, observability, guardrails, monitoring, and failure handling.\n, • Integrate AI-driven workflows with third-party advertising, marketing, analytics, and enterprise data platforms.\n, • Collaborate directly with customers and technology partners to improve performance and usability of agentic features in real-world environments.\n, • Champion the use of modern agentic development tools and contribute to internal engineering workflows, standards, and best practices.\n, • Own features end-to-end, from architecture and development through testing, deployment, and continuous improvement.\n, • Participate in technical design discussions and code reviews as a senior individual contributor within a fast-moving engineering organization.\n\n \n SKILLS AND EXPERIENCE \n Required \n\n • 5+ years of professional software engineering experience with strong fundamentals across distributed systems, APIs, backend services, and data modeling.\n, • Proven hands-on experience building AI-powered products using LLMs, agent orchestration frameworks, tool usage patterns, or multi-agent architectures.\n, • Experience designing and shipping production software in startup, scale-up, or high-growth technology environments.\n, • Ability to work with modern integration protocols and external platform ecosystems, including agent-based architectures and workflow orchestration.\n, • Strong written communication skills and experience collaborating effectively within remote-first teams.\n, • Genuine interest in emerging AI and agentic engineering technologies, trends, and best practices.\n\n Nice to Have \n\n • Experience in advertising technology, marketing technology, digital media, or campaign management ecosystems.\n, • Experience integrating platforms such as customer data platforms, cloud data warehouses, advertising networks, or marketing analytics tools.\n, • Familiarity with LangChain or similar agent orchestration frameworks.\n, • Experience running, fine-tuning, evaluating, or deploying local and self-hosted LLMs.\n\n \n BENEFITS \n\n • Fully remote, US-based opportunity.\n, • Optional NYC office access for in-person collaboration.\n, • Opportunity to influence both product direction and engineering culture.\n, • Work alongside a senior, highly technical team building cutting-edge AI products.\n, • Significant ownership, autonomy, and end-to-end technical responsibility.\n\n \n HOW TO APPLY \n Please register your interest by sending your CV via the Apply link on this page. \n \n KEY TERMS \n Senior Software Engineer | AI Engineering | Agentic Systems | LLMs | Multi-Agent Systems | AI Orchestration | LangChain | MCP | Model Context Protocol | Distributed Systems | Backend Engineering | AdTech | MarTech | Autonomous Workflows | Tool Integrations | Remote USA | Artificial Intelligence | Software Development | Platform Engineering | Machine Learning Applications | AI Engineer | Generative AI

Principal Engineer, Product Leadership Base salary: $200K to $300K plus equity \n Location: New York, 4 days in person | Full time \n \n Your architecture could influence where a city spends its next road dollar. Public works teams in Albany, New York, and Covington, Kentucky, are among the platform's users. This Principal Engineer role gives you wide technical ownership across maps, product workflows, data quality, and the small engineering team building the operating layer for public infrastructure. \n \n We are hiring for a company building the operating layer for the infrastructure cities maintain. Roads are the starting point: imagery, vehicle data, GIS records, engineering documents, and local knowledge become a living map of assets and their condition. Public works teams can use that evidence to plan capital, explain priorities, and manage work. The longer ambition reaches sidewalks, drainage, signs, bridges, and other public assets. \n \n The product has customers, revenue, and funding, while the engineering choices that define the next phase are still open. You would join a world-class engineering team that includes a founding software engineer formerly at Brex and a machine learning engineer formerly at X, Google's moonshot factory. \n \n What you'll own \n \n Make the decisions that let the product grow without losing clarity. You will work directly with the founder and customers, build consequential parts of the system, and raise the judgment of engineers around you. \n \n\n • Own architecture across the user experience, services, and geospatial model.\n, • Build the most important product and data workflows yourself.\n, • Set standards for tests, observability, data provenance, and release safety.\n, • Mentor engineers and make trade-offs visible to product and customer teams. \n\n \n Problems you'll solve \n \n A road condition model is valuable only if its output survives scrutiny. You will connect a street view to its history, condition, proposed work, and source evidence while keeping the system adaptable to different cities. \n \n Candidate fit \n \n\n • You have owned significant customer-facing systems as a Principal or Staff engineer.\n, • You can balance durable architecture with fast customer learning.\n, • You want to lead standards and people while remaining hands-on.\n, • You can work in New York in person 4 days per week. \n\n \n Role details \n \n\n • Base salary: $200K to $300K, plus founding team equity.\n, • Full time, New York, 4 days in person.\n, • Work directly with the founder and a small engineering team.\n, • Core stack: React, TypeScript, Mapbox, Express, geospatial data, and practical infrastructure.\n, • Visa sponsorship has not been confirmed; please ask if this affects your search. \n\n \n Apply \n \n Tell us about a product you personally shipped, the customer problem it solved, the technical decisions you owned, and what happened when people used it. We are especially interested in how you handled imperfect information and what you changed after launch. \n \n Exclusively represented by ⚡dynamism \n \n This search is led exclusively by ⚡dynamism, a community of exceptional builders, founders, and investors that includes YC alumni, Thiel Fellows, and AI lab researchers. We connect ambitious engineers with career-defining roles at breakout companies backed by leading funds including Y Combinator, a16z, and Sequoia. \n \n Learn more at sfdynamism.com. \n \n If you believe you’re a particularly strong fit, email Richard directly at richard@sfdynamism.com.

Founding Tech Lead \n $185,000–$215,000 base + 1.5%–2.0% equity \n New York City (Hybrid) \n \n We are working with an early-stage software company building a revenue intelligence platform for complex insurance workflows. \n \n The company helps multi-location healthcare operators identify and recover insurance underpayments by reconciling contracts, claims, fee schedules, and remittance data, then automating evidence-backed recovery workflows. \n \n Following a recent pre-seed raise, the team has strong runway, active design partners, and growing enterprise demand. They are now hiring their first full-time engineer to help lead technical direction and shape the future engineering team. \n \n The Role \n You’ll work directly with the founders and take broad ownership across the platform. \n This is a highly hands-on role spanning product engineering, data systems, integrations, infrastructure and AI-driven workflows. You’ll help define technical direction, make key architectural decisions and play a major role in hiring and mentoring future engineers. \n \n What You’ll Do \n\n • Own critical systems across data ingestion, reconciliation and recovery workflows.\n, • Help set technical direction and make key architectural decisions.\n, • Build reliable integrations across contracts, claims, remittance and customer data.\n, • Develop evaluation and monitoring systems for models and automated workflows.\n, • Work directly with customers to turn complex operational problems into simple products.\n, • Shape engineering standards, processes and technical quality.\n, • Help hire, onboard and mentor future engineers as the team grows.\n\n \n What You’ll Bring \n\n • Strong software engineering fundamentals and experience owning important production systems.\n, • Experience building products in an early-stage or fast-moving environment.\n, • Strong product judgement and comfort working directly with customers.\n, • Confidence making architectural decisions with limited direction.\n, • Experience using modern AI tools while validating outputs and managing reliability.\n, • An interest in technical leadership, mentoring and team building.\n, • Healthcare, fintech or regulated-industry experience is useful but not required.\n\n \n Tech Stack \n\n • LLMs and agentic systems\n, • Data pipelines and integrations\n, • APIs and backend systems\n, • Relational and analytical databases\n, • Cloud infrastructure\n, • Secure multi-tenant architecture\n, • Observability and monitoring\n\n \n Why Join? \n This is a true founding technical role with direct influence over the product, architecture and engineering culture. \n \n You’ll work closely with the founders, help lead technical direction and play a major role in building the engineering team from the ground up. \n \n About People In AI \n People In AI partners with ambitious technology companies to build world-class technical teams, connecting exceptional engineering and AI talent with high-impact opportunities.

JOB TITLE: AI Principal Engineer \n REPORTS TO: Engineering & Product Leadership, Silverside.AI \n Role Type: Full-time hybrid; contract-to-hire with a 30-day mutual evaluation period \n Location: New York, NY (hybrid, regular in-office presence) \n \n Position Summary \n Silverside.AI is seeking an AI Principal Engineer to own architecture and technical direction for its New York engineering pod. This is a hands-on architecture and leadership role focused on designing, building, and scaling the applications and pipelines that power Silverside's AI-driven video and content production systems and agentic workflows. \n \n The ideal candidate is a strong senior technical individual contributor, roughly 4–7 years of professional experience, who has already begun mentoring others, designs systems with real architectural conviction, and communicates effectively in client and internal meetings. Prior VP or extensive people-management experience is not required; this is an opportunity for a high-potential senior engineer to step into formal technical leadership of a high-performing contractor pod while remaining deeply hands-on. \n \n The AP Principal Engineer will set technical direction for a team of senior full-stack developers, drive modular system design, and help shape the product roadmap for the Silverside Experience Engine. \n \n Essential Duties & Responsibilities \n\n • Own architecture and technical direction for the Silverside New York engineering pod, providing clear system design, hands-on mentorship, code reviews, and day-to-day technical oversight so the team delivers high-quality work aligned with product and company goals.\n, • Architect and build scalable full-stack applications, with a strong emphasis on robust backend systems (Python / FastAPI and related modern frameworks), that power AI-driven video and content production pipelines and agentic workflows.\n, • Break complex AI production and agentic workflow challenges into clean, modular, maintainable systems for generation, processing, optimization, and delivery.\n, • Integrate AI/ML models, fine-tuned image and video models, generation APIs, and proprietary workflows into reliable production pipelines.\n, • Set and enforce development standards, testing practices, and deployment discipline across the pod.\n, • Collaborate closely with product, design, and engineering peers to ship full applications and continuously improve AI content systems and internal tooling.\n, • Optimize performance and scalability for high-volume video and media processing workloads.\n, • Troubleshoot and resolve issues in live production environments with urgency and clarity.\n, • Contribute directly to Silverside's growing AI content and agentic workflow ecosystem supporting major enterprise clients.\n, • Present technical architecture, system design decisions, and solution approaches with clarity and confidence in internal roadmap discussions and, when needed, in client or partner meetings.\n, • Partner with C-suite and product leadership on technical prioritization and the evolution of the core platform.\n\n \n Other Duties and Responsibilities \n\n • Provide meaningful, though not primary, client-facing technical presence as needed to support sales, partner, or account conversations.\n\n \n Required Knowledge, Skills, and Abilities \n\n • Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience.\n, • 4–7 years of professional full-stack development experience, with meaningful hands-on work building production systems involving AI, machine learning, creative media, video, or content generation pipelines.\n, • Strong backend proficiency in Python and modern frameworks (FastAPI, Flask, or Django), with experience designing and operating scalable APIs and services.\n, • Solid secondary frontend skills in contemporary frameworks (React, Svelte, or similar) sufficient to collaborate on and occasionally contribute to user-facing AI tools and interfaces.\n, • Demonstrated ability to design modular, maintainable systems and to discuss architecture with clarity and genuine passion.\n, • Hands-on experience integrating AI/ML models or generation APIs into production workflows, ideally in creative, media, or video contexts.\n, • Experience mentoring or coaching other engineers and raising the bar on code quality, testing, and engineering practices.\n, • Strong written and verbal communication skills, with comfort presenting technical ideas to both technical and non-technical stakeholders, including in client or sales-adjacent settings.\n, • Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and modern deployment practices.\n, • Preferred (Nice-to-Have)\n, • Experience with video/media tooling such as FFmpeg, OpenCV, or cloud rendering services.\n, • Prior work in creative industries, AI-generated content, marketing technology, or enterprise digital production environments.\n\n \n Physical Demands \n\n • n/a\n\n \n Salary & Benefits: \n For candidates in New York, the base salary range for this role at the time of posting is $200,000 to $225,000. For candidates in smaller, mid-Atlantic markets, the base salary range for this role at the time of posting is $170,000 to $220,000. The salary an employee or prospective employee is paid within this range will depend on factors such as but not limited to: internal compensation of current employees in similar roles, market considerations, budgetary considerations, level of responsibility, background, experience, and qualifications. \n \n Full-time employees enjoy a competitive benefits package for you and your dependents to ensure a healthy lifestyle. Our benefit offering includes: medical, dental, vision, basic and supplemental life & AD&D, 401(k) with company match, short-term and long-term disability, HSA, and FSA. \n \n Additional Information: \n Silverside AI is an Equal Opportunity Employer and participant in the US Federal E-Verify program. At this time, we are not accepting resumes or candidates from third-party vendors.

Overview \n This role lives at the intersection of the customer and the central platform codebase: you’ll work directly with PE portfolio companies to scope, build, and ship AI agents against real operational data, as well as build out the core platform. Half forward-deployed engineer, half platform builder. \n \n What You’ll Own \n\n • Forward Deployment: Embed with customers — PE firms and their portcos — to scope problems, design solutions, and ship AI agents against live operational data.\n, • Solution Engineering: Translate messy, real-world workflows into working systems: entity resolution, workflow inference, and agent deployment.\n, • Customer Trust: Be the technical face in the room — earn credibility with operators and GPs, run demos, and own outcomes end-to-end.\n, • Rapid Prototyping: Stand up POCs and pilots fast using AI-native tooling. •\n, • Feedback Loop: Partner with the CTO and product to close the loop between what you do in the field and the central roadmap.\n\n \n Ideal Background \n\n • Experience: 5–10 years building production software, ideally with direct customer or stakeholder exposure (forward-deployed, solutions/sales engineering, or founding-team work).\n, • AI Nativity: Fluent with modern LLM tooling — coding agents, retrieval, evals, and agent frameworks — and shipping with them daily.\n, • Technical Fluency: Strong in Python and/or TypeScript, comfortable across the stack and with data (SQL, ETL, wrangling messy enterprise systems).\n, • Customer Instinct: Can sit with a non-technical operator, diagnose the real problem, and translate it into a scoped technical solution.\n, • Bias to Ship: Comfortable owning ambiguous, high-stakes deployments end-to-end under time pressure.\n\n \n Bonus Points \n\n • Startup DNA: Early hire or founder; comfortable wearing many hats and owning high-impact work endto-end.\n, • Data Depth: Experience with entity resolution, data unification, or building on modern warehouses/lakehouses such as Snowflake, Databricks, or BigQuery.\n\n \n Key Competencies \n\n • Customer-Obsessed Builder: Equal parts engineer and trusted advisor — motivated by shipping things customers actually use.\n, • Intensity & Resourcefulness: Relentless about getting to the right answer; finds a way through when the path isn’t obvious. •\n, • High Accountability: Communicates clearly, owns outcomes, and thrives in fast-paced, ambiguous environments.\n

CTO-Caliber Engineering Lead Base salary: $200K to $300K plus equity \n Location: New York, 4 days in person | Full time \n \n If you have been a CTO but still want to build, this is a chance to put that range to work on a visible civic problem. Alexandria, Kentucky, reports weeks of fieldwork saved, and Port Lavaca, Texas, has used the product to support budget planning. You would help turn those early results into a platform that changes how cities understand and maintain their infrastructure. \n \n We are hiring for a company building the operating layer for the infrastructure cities maintain. Roads are the starting point: imagery, vehicle data, GIS records, engineering documents, and local knowledge become a living map of assets and their condition. Public works teams can use that evidence to plan capital, explain priorities, and manage work. The longer ambition reaches sidewalks, drainage, signs, bridges, and other public assets. \n \n The product has customers, revenue, and funding, while the engineering choices that define the next phase are still open. You would join a world-class engineering team that includes a founding software engineer formerly at Brex and a machine learning engineer formerly at X, Google's moonshot factory. \n \n What you'll own \n \n Be the founder's technical counterpart across product, architecture, quality, and the growing engineering team. You will make the hard calls, explain your reasoning, and stay close enough to code and customers to see when a decision needs to change. \n \n\n • Set technical direction and build the most consequential systems.\n, • Connect customer needs to a focused roadmap and credible experiments.\n, • Define validation and human-review standards for noisy data.\n, • Own hiring standards, incidents, releases, and the trade-offs behind them. \n\n \n Problems you'll solve \n \n The platform must move quickly without asking cities to trust evidence it cannot explain. You will decide where automation creates value, where a human must review, and how to make those limits clear in the product. \n \n Candidate fit \n \n\n • You have been a CTO, founding engineer, or senior engineering leader.\n, • You can point to products you personally took into production.\n, • You disagree constructively with founders and commit after a decision.\n, • You can work in New York in person 4 days per week. \n\n \n Role details \n \n\n • Base salary: $200K to $300K, plus founding team equity.\n, • Full time, New York, 4 days in person.\n, • Work directly with the founder and a small engineering team.\n, • Core stack: React, TypeScript, Mapbox, Express, geospatial data, and practical infrastructure.\n, • Visa sponsorship has not been confirmed; please ask if this affects your search. \n\n \n Apply \n \n Tell us about a product you personally shipped, the customer problem it solved, the technical decisions you owned, and what happened when people used it. We are especially interested in how you handled imperfect information and what you changed after launch. \n \n Exclusively represented by ⚡dynamism \n \n This search is led exclusively by ⚡dynamism, a community of exceptional builders, founders, and investors that includes YC alumni, Thiel Fellows, and AI lab researchers. We connect ambitious engineers with career-defining roles at breakout companies backed by leading funds including Y Combinator, a16z, and Sequoia. \n \n Learn more at sfdynamism.com. \n \n If you believe you’re a particularly strong fit, email Richard directly at richard@sfdynamism.com.

Senior Mechanical Engineer – Advanced Robotics \n NYC/Brooklyn | $180K–$300K Base + Meaningful Equity | Early-Stage \n \n We’re working with an early-stage robotics company building highly capable humanoid robots designed to perform real-world physical work across manufacturing — including manipulation, assembly and other tasks traditionally performed by people. \n \n You'll be joining a 5-person engineering team at the point where the product is moving from early prototypes into a much more sophisticated hardware platform. Following a significant funding round, they’re now scaling the core engineering team with 4–5+ hires across mechanical, electrical, controls and robotics. \n \n As their Senior Mechanical Engineer, this is an opportunity to have real ownership of the physical architecture of the robot rather than owning one small part of an established product. \n \n What you'll be doing \n \n You’ll own the mechanical design of the robot, taking systems from concept through prototyping, testing and iteration. \n\n • Designing mechanisms, joints, linkages and actuator systems\n, • Developing mechanical architectures for dynamic robotic systems\n, • CAD, prototyping and hands-on hardware testing\n, • Designing around motors, gearboxes, bearings and other electromechanical components\n, • Structural design, tolerancing, materials and mechanical analysis\n, • Designing for manufacturability, assembly and reliability\n, • Working closely with electrical, controls and robotics engineers\n, • Helping shape the mechanical architecture as the team scales\n\n \n What they're looking for \n\n • Mechanical Engineers with strong hands-on experience designing and building complex electromechanical systems.\n, • Experience with robotics, robotic arms, automation, actuators, mechanisms or other advanced hardware would be highly relevant.\n, • Strong CAD and mechanical design experience, with a track record of taking hardware from concept through prototyping and testing.\n, • You don't necessarily need previous humanoid robotics experience — they're interested in engineers who have worked on sophisticated moving hardware and enjoy solving difficult mechanical problems.\n\n \n They’re looking to hire multiple engineers, with salaries ranging from $180,000–$300,000 base + meaningful equity. \n \n If you've been waiting for the opportunity to join before the team and product are fully built, with a huge level of ownership over the mechanical design of the platform, this is exactly that. \n

Director of Engineering, Product Base salary: $200K to $300K plus equity \n Location: New York, 4 days in person | Full time \n \n The work you lead here can show up in a city budget and on a repaired street. Port Lavaca, Texas, has used the platform for capital improvement planning, while Covington, Kentucky, is bringing it into pavement planning. This is a Director role for someone who still wants to build and whose decisions will be visible in the product, the team, and the communities it serves. \n \n We are hiring for a company building the operating layer for the infrastructure cities maintain. Roads are the starting point: imagery, vehicle data, GIS records, engineering documents, and local knowledge become a living map of assets and their condition. Public works teams can use that evidence to plan capital, explain priorities, and manage work. The longer ambition reaches sidewalks, drainage, signs, bridges, and other public assets. \n \n The product has customers, revenue, and funding, while the engineering choices that define the next phase are still open. You would join a world-class engineering team that includes a founding software engineer formerly at Brex and a machine learning engineer formerly at X, Google's moonshot factory. \n \n What you'll own \n \n Lead a small engineering group while staying in the code. Partner with the founder on priorities, help engineers make good trade-offs, and connect product delivery to how local governments actually plan and complete work. \n \n\n • Set technical direction and release standards without slowing customer learning.\n, • Build and review important frontend, backend, and data changes yourself.\n, • Own incidents, technical debt decisions, hiring standards, and team development.\n, • Work with customer success to turn deployment lessons into better software. \n\n \n Problems you'll solve \n \n Cities need software that is fast enough for daily work and dependable enough for public spending decisions. You will decide when to experiment, when to add validation, and how to make the team accountable for outcomes after a release. \n \n Candidate fit \n \n\n • You have led engineers in a small or scaling product company.\n, • You still write, review, test, and debug production code.\n, • You have built structure where it helps while keeping a team close to users.\n, • You can work in New York in person 4 days per week. \n\n \n Role details \n \n\n • Base salary: $200K to $300K, plus founding team equity.\n, • Full time, New York, 4 days in person.\n, • Work directly with the founder and a small engineering team.\n, • Core stack: React, TypeScript, Mapbox, Express, geospatial data, and practical infrastructure.\n, • Visa sponsorship has not been confirmed; please ask if this affects your search. \n\n \n Apply \n \n Tell us about a product you personally shipped, the customer problem it solved, the technical decisions you owned, and what happened when people used it. We are especially interested in how you handled imperfect information and what you changed after launch. \n \n Exclusively represented by ⚡dynamism \n \n This search is led exclusively by ⚡dynamism, a community of exceptional builders, founders, and investors that includes YC alumni, Thiel Fellows, and AI lab researchers. We connect ambitious engineers with career-defining roles at breakout companies backed by leading funds including Y Combinator, a16z, and Sequoia. \n \n Learn more at sfdynamism.com. \n \n If you believe you’re a particularly strong fit, email Richard directly at richard@sfdynamism.com.

About the Company \n \n Princeton Critical Minerals Inc (PCM) is a Princeton University spinout developing breakthrough technologies to enable sustainable extraction of lithium and other critical minerals. Our mission is to increase global mineral supply while minimizing water use, energy consumption, and environmental impact. We operate at the intersection of materials science, chemical engineering, and field-scale deployment, with active pilot programs in the U.S. and internationally. \n \n About the Role \n \n We are seeking a highly motivated Chemical Engineer or Chemist to join our team and help develop innovative, cost-effective solutions for mineral extraction from brine resources. This role spans lab research, pilot testing, and field deployment, with direct impact on scaling next-generation extraction technologies. \n \n Responsibilities \n \n\n • Design and develop materials, coatings, and chemical processes to enhance mineral extraction efficiency from brine systems\n, • Plan and execute laboratory experiments and field trials independently, including pilot-scale testing\n, • Analyze experimental data and translate findings into actionable process improvements\n, • Develop and maintain technical documentation, SOPs, and operational protocols\n, • Support product validation and performance benchmarking in real-world environments\n, • Collaborate on sensor integration, data analysis, and process monitoring systems\n, • Participate in technical reviews and contribute to engineering design decisions\n, • Communicate results and insights to internal teams, partners, and customers\n\n \n Qualifications \n \n\n • Bachelor’s, Master’s, or PhD in Chemical Engineering, Chemistry, Environmental Engineering, Geoscience, or related field\n, • Strong foundation in process engineering, brine chemistry, and materials science\n, • Experience with experimental design, data analysis, and process optimization\n, • Familiarity with process simulation tools, sensor systems, or data analytics platforms is a plus\n, • Experience in field work, pilot systems, or industrial environments preferred\n, • Strong written and verbal communication skills (English required; Spanish is a plus)\n, • Hands-on, problem-solving mindset with the ability to work in fast-paced, multidisciplinary teams\n, • Willingness to travel to field sites (U.S. and international) as needed\n\n \n PCM Inc. is an equal opportunity employer committed to building a diverse and inclusive team.

AI Delivery Manager/AI Project Manager in Minneapolis ,MN / Cincinnati OH/NYC/NJ Full Time \n \n \n Position Overview \n We are looking for a technically strong AI Project Manager to lead the execution of AI and Generative AI initiatives. This role will manage project delivery, coordinate cross-functional teams, and work closely with AI engineers, architects, product managers, and business stakeholders to ensure successful implementation of AI solutions. \n The ideal candidate combines solid project management experience with a strong understanding of AI technologies and software engineering practices. While not expected to build AI models, they should be comfortable discussing technical designs, managing delivery risks, and translating business requirements into execution plans. \n Key Responsibilities \n\n • Manage end-to-end delivery of AI and Generative AI projects.\n, • Create project plans, sprint schedules, release roadmaps, and milestone tracking.\n, • Coordinate AI engineers, software developers, data engineers, QA, UX, and product teams.\n, • Work with solution architects to translate business requirements into technical execution plans.\n, • Monitor project progress, risks, dependencies, budgets, and resource allocation.\n, • Facilitate Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives.\n, • Track project KPIs and communicate status to stakeholders.\n, • Ensure timely delivery while maintaining quality and governance standards.\n, • Coordinate UAT, production releases, and post-deployment support.\n, • Drive continuous process improvements and AI delivery best practices.\n\n Required Qualifications \n\n • 5–8 years of experience managing software development or digital transformation projects.\n, • 2–3 years of experience delivering AI, Machine Learning, or Generative AI projects.\n, • Strong understanding of LLMs, AI agents, Retrieval-Augmented Generation (RAG), prompt engineering concepts, and AI application architectures.\n, • Experience working with Agile methodologies and tools such as Jira and Confluence.\n, • Familiarity with cloud platforms (AWS, Azure, or GCP).\n, • Strong understanding of REST APIs, system integrations, and modern software development lifecycles.\n, • Excellent stakeholder communication and coordination skills.\n, • Experience managing cross-functional teams of 5–15 members.\n\n Preferred Skills \n\n • Exposure to MLOps and AI deployment pipelines.\n, • Experience with vector databases, embeddings, and AI orchestration frameworks.\n, • Knowledge of Python-based AI ecosystems (without requiring hands-on coding expertise).\n, • Experience in Banking, Financial Services, Healthcare, or Retail.\n, • Scrum Master or PMP certification is a plus.\n\n Ideal Candidate \n\n • Strong technical aptitude with the ability to engage confidently with architects and AI engineers.\n, • Excellent project planning, prioritization, and execution skills.\n, • Comfortable managing ambiguity in fast-evolving AI programs.\n, • Strong ownership mindset and proactive problem-solving ability.\n, • Effective communicator who can bridge business and technical teams.\n, • Collaborative leader capable of motivating multidisciplinary teams and driving successful project outcomes.\n, • Experience working in a spec-driven development environment would be a strong plus.\n\n What this person should know technically (without being an AI engineer) \n A good candidate should be able to: \n\n • Understand the difference between traditional ML and Generative AI.\n, • Explain concepts such as LLMs, RAG, AI agents, embeddings, vector databases, MCP, and prompt engineering at a high level.\n, • Read architecture diagrams and participate in technical design discussions.\n, • Understand APIs, microservices, cloud architecture, and system integrations.\n, • Manage AI project risks such as hallucinations, model evaluation, latency, security, and cost.\n, • Work with Git, CI/CD concepts, and deployment pipelines, even if they are not hands-on.\n\n

Hybrid in Newark, NJ. \n Long term contract to hire Scrum Master position. \n Financial industry experience is highly preferred. \n \n Your Team: \n You will join a team of change agents who are responsible for coaching, teaching and guiding individuals, bringing to bear agile principles, practices and frameworks. You will partner with product owners, tech leads, designers, engineers and delivery professionals to improve End User Experience. You will bring excellent problem solving, communication and teamwork skills, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do. \n \n Here is what you can expect in a typical day: \n • Collaborate with product owners in understanding needs and defining feature stories, tech leads in defining technical design and other team members to understand the system end-to-end and deliver robust solutions that bring about business impact \n • Bring an understanding of relevant and emerging technologies, begin to identify opportunities to provide feedback to the team, and embed learning and innovation in the day-to-day \n • Work on problems of diverse scope in which analysis of data requires evaluation of identifiable factors \n • Ensures the team(s) lives Agile values and principles and follow the processes and practices that they agreed-upon to deliver the committed solutions \n • Responsible for promoting and supporting Agile principles by helping everyone understand applied theories, practices, rules, and value \n • True servant leader who serves the team(s) and larger organization \n • Supports those outside the aligned team(s) to understand which of their interactions with the team(s) are effective and which aren't; helps everyone change these interactions to improve the value built by the Agile team \n • Supports all aspect of risk management and impediment resolution \n \n The Skills & Expertise You Bring: \n • Proven experience as a Scrum Master or Release Train Engineer, or comparable Agile delivery leadership role \n • Leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization \n • Experience with agile development methodologies \n • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business \n • Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges \n • Excellent problem solving, communication and collaboration skills \n \n Experience with several of the following: \n • Familiarity and expertise with Agile principles and frameworks, including story writing and estimation, facilitation, and identification and implementation of continuous improvement (CI) \n • Experience working and proficiency in performing the role of Scrum Master, including on teams charged with highly complex outcomes \n • Expertise in facilitation and tracking of Objectives & Key Results (OKRs), prioritization, backlog refinement, and specialty workshops. \n • Proven capabilities in: (i) delivery, (ii) reporting and metrics, (iii) Agile toolchains (Jira, Jira Align, Miro, etc.) \n \n Preferred Qualifications \n • Certified Scrum Master certification \n • Experience in serving as a Scrum Master within the financial services industry on multiple teams \n • Experience with Project Management \n • Understanding of Device Lifecycle Management a plus

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Sales Engineering Expert Type: Contract Compensation: $100–$150/hour Location: Remote Role Responsibilities • Design precise, task-specific grading criteria for real-world pre-sales and solutions-engineering deliverables., • Score AI-generated and human work samples against criteria with detailed written justifications., • Apply consistent, evidence-based judgment to ensure reproducible and defensible scores., • Incorporate structured feedback from senior reviewers and iterate quickly on your work. Qualifications Must-Have • 4+ years of relevant experience as a Sales Engineer, Solutions Engineer, Solutions Consultant, Pre-Sales Consultant, or Technical Sales Consultant., • Deep fluency in the pre-sales craft, including technical discovery and translating customer requirements into product solutions., • Hands-on experience with technically complex B2B software such as SaaS, cloud infrastructure, cybersecurity, data platforms, developer tools, or enterprise applications., • Exceptionally strong written communication skills for explaining technical work to both technical and business stakeholders., • Detail-oriented and comfortable having your judgment reviewed and calibrated against peers. Preferred • Prior experience with AI training, evaluation, or human-data projects. Application Process (Takes 20–30 mins to complete) • Submit your resume or relevant professional background to get started., • Qualified applicants may be asked to complete a brief assessment or submit additional information. Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Who We Are FintechOS is the AI-fluent Unified Product Operations platform for banks and credit unions. We help institutions launch financial products – lending, deposits, origination – without ripping out the core. What used to take 9 to 12 months can now happen in weeks. The platform lifts product logic, pricing, and decisioning above your core, so business teams can move at speed while staying inside the regulatory guardrails. We work with leading global institutions and fast-moving challengers reshaping financial services. We’re scaling in the US. This is a ground-floor opportunity to help shape how we win and grow. About the Role This is our first full-time presales hire on the ground in the US. You’ll be the trusted technical companion to our sales effort – the person who can talk credibly about the market, show the product at its best, and earn the confidence of community banks, credit unions, and mid-to-large institutions. You’ll work shoulder-to-shoulder with a US team of five to six people, partnering closely with Account Executives, product, and delivery. The job is part strategist, part engineer, part advisor: understand what a customer is actually trying to achieve, then translate it into how FintechOS gets them there. Build trust, build the case, and help win new deals. In This Role You Will • Be the trusted advisor to prospects and new customers – guiding them on how FintechOS helps them modernize origination, launch products faster, and run a more efficient operation, without a multi-year core replacement., • Develop deep product expertise – know the platform comprehensively, and be the internal go-to for sales, product, and delivery., • Run discovery and showcase the product – lead compelling demos and proofs of concept that make the value tangible for both business and technical stakeholders., • Build the business case – quantify ROI: faster time-to-market, lower cost-to-serve, conversion uplift, and competitive differentiation., • Speak the market’s language – talk credibly about NIM compression, origination fragmentation, deposit competition, and the regulatory realities of NCUA- and FDIC-regulated institutions., • Win as a team – partner with AEs through the full cycle, from first conversation to commercial close, and help win new logos across the US. What You’ll Do Day-to-Day • Run solution cycles end-to-end with an AE: discovery, value quantification, solution design, demos, POCs, and close., • Show banks and credit unions how to launch and change products – consumer lending, deposits, member onboarding – without traditional development cycles., • Demonstrate how FintechOS sits above cores like Fiserv, Jack Henry, and FIS, lifting product logic into a governed layer., • Navigate buying committees: win over executives with strategic vision, business teams with use cases, and technical leaders with architecture., • Build value cases and ROI models that change minds and move deals forward., • Act as the voice of the US market back to product and delivery – what customers need, what’s landing, what isn’t. What We’re Looking For Must-haves: • 7+ years in presales, solution consulting, or sales engineering, selling software or platforms into US financial services., • Strong banking domain experience – you’ve worked with community banks, credit unions, and mid-to-large institutions, and you understand how they buy, operate, and what keeps them up at night., • Real fluency in origination, lending, deposits, and core banking realities – you can hold a credible conversation about workflows, decisioning, regulatory pressure, and cost-to-serve., • Proven ability to straddle business and technical conversations – you quantify ROI with executives and discuss architecture with engineers., • A track record of winning deals by articulating business value, not just features: faster launches, lower costs, competitive edge., • Technical understanding of APIs, cloud architecture, and integrations – you don’t need to code, but you need to speak the language., • Autonomous and proactive – you see the opportunity, shape it, and drive it without waiting for permission. You’ll Stand Out If You • Know the credit union world specifically – member-centric model, NCUA regulation, community mission – and can speak to it authentically., • Understand the shift from IT-led to business-led product development, and can articulate it without leaning on buzzwords., • Have sold origination, digital banking, or lending platforms and know the competitive landscape (Blend, Backbase, MeridianLink, and the core providers)., • Can position AI as business value, not tech theater., • Have built ROI models or business cases that genuinely shifted an executive’s decision., • Have contributed to thought leadership – industry events, winning RFPs, or content that influenced buyers. Location & Travel Fort Lauderdale is our preferred base, and we’d love to have you here. For an exceptional candidate, we’ll consider fully remote within the US. Expect regular travel across the US for client meetings, workshops, and conferences – roughly 30 to 50% depending on deal activity – plus occasional travel to our London HQ to connect with the wider team. What You’ll Get • Impact: you’re joining early enough to shape how we sell in the US, what we build, and where we win., • Growth: work alongside institutions like Société Générale and Admiral, and help open a new market. New logos, real expansion., • Autonomy: we trust you to see the opportunity and own it. No micromanagement, no bureaucracy., • Team: smart, motivated people tackling one of the hardest problems in financial services., • Diversity: we’re building a place where different perspectives, backgrounds, and ideas make us better. Not For You If • You need an established playbook – we’re still writing ours., • You want a lot of structure and hand-holding – we need self-starters who thrive in ambiguity., • You’re after a low-travel lifestyle role – this job needs presence in front of customers. Interested? If you’re ready to help banks and credit unions build products in a fundamentally better way – and to shape how we win in a brand new market – let’s talk.

As a member of the Information Security team, the Security Engineer will be responsible for helping to develop, mature, and sustain the Application Security program for the company. Application Security is a top area of focus. We have incorporated key industry security best practices, technologies and integrated processes to further strengthen our defense posture. This is an exciting time to join the Information Security Vulnerability Management team as we are continuing to expand the Application Security program. \n Responsibilities: \n\n • Perform as an application security SME in the following areas: Web Applications, Mobile Applications, Databases, APIs, Containers and other domains.\n, • Support and maintain application security testing platforms and develop integrations with automation platforms\n, • Work with Application Development teams to review potential false-positive scan results and evaluate proposed mitigating factors\n, • Produce and track application security metrics\n, • Support the secure development and testing of critical Advisor and Investor LPL applications\n, • Mentor and educate product development and quality engineers on secure development and security best practices\n, • Monitor and review CVEs, industry developments, and provide inputs for continuous improvement\n, • Work with Internal Audit, IT Governance, IT Compliance and other key stakeholder groups on specific projects\n\n Requirements: \n\n • 5+ years of application security experience\n, • 5+ years of experience performing manual testing of APIs and web applications to identify/validate vulnerabilities.\n, • 5+ years of experience developing and maintaining enterprise security libraries, components, best practices checklists.\n, • 5+ years of experience performing application security risk evaluation, partnering with key stakeholders to further enhance application security CI/CD pipeline and continually assess security posture for improvement.\n, • 5+ years of experience creating and maintaining scan profiles for performing static, authenticated dynamic, IAST, and 3rd party library automated analysis with application scanning tools\n, • 5+ years of experience with reviewing and analyzing vulnerability scan results and tracking closure of vulnerabilities\n\n Core Competencies: \n\n • Understanding of OWASP Top 10 Critical Web Application Security Risks, their identification, and architecture, design, coding patterns to mitigate them\n, • Knowledge of secure coding best practices, secure SDLC, secure architecture, and DevSecOps methodologies\n, • Strong analytical, interpersonal and communication skills\n\n

Company Profile: \n AppCard Inc. is a technology and marketing company headquartered in Manhattan, NY. Appcard has a powerful marketing tool that leverages data acquired at the point of sale (POS) via an advanced rewards program to create advanced retargeting campaigns that help businesses increase their bottom line. AppCard is unique in the loyalty space due to its patented technology which allows businesses to capture shopper identity and item level data in realtime from purchases made in store and online. The benefit of this is two fold: consumers benefit by receiving offers, incentives and coupons. Through a shopper’s interactions with the former AppCard’s platform records and learns shopper behavior and gives grocers the ability to make their data actionable to increase average basket size and systematically increase repeat purchases. \n \n About the role: \n AppCard is looking for a System Engineer to provide first and second-line support to our customers. If you are a hands-on operations expert, experienced in product operations and customer support, and eager to deepen your technical expertise in IoT and cloud infrastructure, we’d love to hear from you! \n We are seeking a highly skilled System Engineer who thrives in a dynamic environment, enjoys problem-solving, and is committed to delivering exceptional technical support. \n • This position requires off hour support and weekends \n \n Responsibilities \n\n • Diagnose and troubleshoot technical issues, including Linux-based systems, databases, and network configurations\n, • Serve as the primary technical contact for customer support, delivering Level 1-3 troubleshooting and resolution\n, • Ability to think beyond the ticket — understanding business impact and contributing to operational improvements\n, • Prioritize and manage several open issues at one time\n, • Collaborate with internal teams to document best practices and enhance the knowledge base for both internal and external use\n, • Follow up with clients to ensure their IT systems are fully functional after troubleshooting\n, • Document technical knowledge in the form of notes and manuals\n, • Maintain excellent client relationships, ensuring a first-class customer experience\n\n \n Requirements \n\n • Bachelor’s degree in Computer Science, Information Technology, or a related field\n, • Strong Linux administration skills, with experience in mission-critical applications\n, • Experience and knowledge of system performance-monitoring tools\n, • Networking knowledge: Load balancers, firewalls, VPN’s, TCP/IP – troubleshooting, performance tuning\n, • Passion for learning new technologies and tools in a fast-evolving environment\n, • Basic database knowledge (SQL querying and troubleshooting)\n, • Experience with AWS Cloud Service Infrastructure\n, • Proven work experience as a Technical Support Engineer, Desktop Support Engineer, IT Help Desk Technician or similar role\n, • Excellent communication and problem-solving skills with a customer-first mindset\n, • Highly motivated, organized, and able to handle multiple priorities effectively\n\n \n This role is full-time from our NYC office \n Applicants must be authorized to work in the U.S. This position is not eligible for employer visa sponsorship."

This Jobot Job is hosted by: Brendan Thomas Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $78,000 - $90,000 per year A bit about us: We are seeking a driven Quality Engineer with Tier 1 automotive experience who is looking to grow into a future Quality Manager role. This position offers the opportunity to work in a fast-paced, high-impact manufacturing environment where you’ll play a key role in ensuring world-class quality for critical automotive products. The right candidate will have a solid engineering foundation, strong problem-solving ability, and the leadership mindset to influence quality strategy across the plant. Why join us? Key Perks: • Competitive salary targeting $78,000 - $90,000 base + annual discretionary bonus, • Relocation assistance available, • Fortune 500-level health/medical/dental/vision, • 401(K) + match, • 3 weeks PTO + 14 paid holidays + option to purchase up to 6 weeks of additional vacation time, • Short, Long-Term and Life Insurance, • HSA+ FSA, • Employee Assistance Program + paid family leave, • Wellness programs!, • Discounts from preferred vendors, • Well-being Resources, • Professional training, • Opportunity for career advancement, working as part of an empowering workforce, • Warm & welcoming culture & much more! Job Details Key Responsibilities • Develop and implement quality control processes, sampling systems, and statistical techniques to ensure consistent product performance., • Analyze production and quality trends to identify root causes and implement corrective actions without impacting production flow., • Review and validate analyses prepared by others for accuracy and effectiveness., • Lead policy recommendations and support implementation of quality-related initiatives., • Conduct cost/benefit analyses and present findings to leadership., • Provide training and mentorship to both hourly and salaried staff on quality systems and best practices., • Support and/or lead audits, special projects, and customer quality initiatives., • Collaborate cross-functionally to drive continuous improvement across operations. Qualifications • Bachelor’s degree in Engineering or Engineering Technology (required)., • 4+ years of Quality Engineering experience in Tier 1 automotive manufacturing., • Professional quality accreditation (CQE or similar) strongly preferred., • Strong computer skills, including MS Office (Excel, PowerPoint, Outlook)., • Excellent communication, analytical, and leadership skills., • Self-motivated and able to work independently with sound judgment. Additional Requirements • Ability to travel to plant and customer sites as needed., • Comfortable maneuvering around production equipment., • Must hold a valid driver’s license. What’s In It For You • Competitive compensation with the potential for higher pay based on experience., • Exposure to high-profile Tier 1 automotive projects., • A career path designed for growth into a Quality Manager role., • Opportunity to make a tangible impact on product quality, safety, and customer satisfaction. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Next generational aerospace company seeking an experienced Product Engineer to join our growing talented company. This Jobot Job is hosted by: Josh Rabinowitz Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $85,000 - $100,000 per year A bit about us: We are seeking an experienced Product Engineer to join our growing aerospace engineering team. The Product Engineer will be responsible for supporting the design, development, production, and continuous improvement of aerospace products and components. This role will work closely with Design Engineering, Manufacturing, Quality, Supply Chain, and Operations to ensure products meet customer requirements, engineering specifications, quality standards, cost targets, and production schedules. The ideal candidate will have hands-on experience working with aerospace components, precision manufacturing, engineering drawings, GD&T, and configuration-controlled products. This is an excellent opportunity for an engineer who enjoys working at the intersection of product design and manufacturing. If this sounds like the opportunity for you and you're ready for your next challenge please read on! Why join us? • Comprehensive benefits package, including health insurance, retirement plans, and paid time off., • Opportunities for professional growth and continuing education., • Collaborative work environment with a focus on innovation and quality., • We are committed to fostering professional development and career advancement by promoting accelerated growth opportunities from within our organization. Job Details • Bachelor’s degree in Engineering required; Materials Science, Mechanical Engineering, or a related discipline preferred., • 5–7 years of experience in Product Engineering, preferably within an aerospace or advanced manufacturing environment., • Proficiency with CAD software; SolidWorks experience strongly preferred., • Excellent written, verbal, and presentation communication skills, with the ability to effectively communicate technical information to both internal and external stakeholders., • Ability to collaborate effectively across all levels of an organization, including working directly with customers and cross-functional engineering, manufacturing, quality, and operations teams. If this sounds like the opportunity for you and you're ready for your next challenge please read on! Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Software Engineer You'll sit on our AI/ML team and turn what our models detect on construction drawings into shapes and objects that users can see, trust, and fix on a canvas. You'll connect the ML team and the engineers by designing how model outputs get into the product and using user corrections to make the models better. • 8+ years of software engineering experience, • Shipped computer vision or ML output into a product people use every day, • Python and TypeScript, • Experience designing and versioning data contracts between services Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at _ . We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.

Software Engineer You'll own a browser-based canvas editor where many people edit and mark up huge construction drawings at the same time. The hard problems here are rendering speed on massive documents, getting real-time collaboration right, and keeping work intact on unreliable jobsite networks. • 5+ years building production web apps, • React and TypeScript, with hands-on browser performance work like profiling, latency, and memory, • Experience owning complex client-side state in production, not just fetching and displaying data, • Solid backend skills: you've designed APIs, relational data models, and migrations Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at _ . We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.

Job Description: The Solutions Engineer - Enterprise collaborates with account teams to assess customer data center environments and design tailored infrastructure solutions that align with business objectives. This role involves building technical relationships with OEMs, providing training to sales teams and customers, managing the solution practice pipeline, and engaging with various client contacts to identify technology opportunities across Data Center, Cloud, Network, Security, and Services spaces. Responsibilities • Collaborate with account teams to evaluate and understand customer data center environments and infrastructure technologies., • Design and propose tailored infrastructure solutions that align with customers' business objectives., • Build and maintain technical relationships with OEMs and strategic partners and stay updated on the latest product information., • Provide product training and technical education to the sales team and customers., • Act as a trusted IT advisor for customers, partnering with Field Account Executives., • Manage the solution practice pipeline by developing strategies for top prospects and acquiring new business., • Identify and uncover technology opportunities within Data Center, Cloud, Network, Security, Collaboration, and Services spaces., • Develop solutions that fit customers' needs and budgets through strategic planning., • Engage with multiple layers of client contacts, including CIOs, IT Directors, and CTOs, to ensure comprehensive account management., • Educate and develop sales teams on technical selling, product training, services, and technology trends. Behaviors and Competencies • Presenting: Can design and deliver engaging presentations, adapting the content and style to suit the audience, context, and medium., • Negotiation: Can proactively seek out negotiation opportunities, initiate discussions, and contribute to conflict resolution., • Communication: Can effectively communicate complex ideas and information to diverse audiences and can facilitate effective communication between others., • Detail-Oriented: Can manage complex tasks or projects, identifying errors or inconsistencies, and ensuring all details are addressed, necessary corrections are made, and quality is maintained., • Organization: Can effectively coordinate multiple projects, delegate tasks where appropriate, and employ advanced organizational tools and methods., • Follow-Up: Can proactively identify tasks that require follow-up, initiate necessary actions, and contribute to efficient workflow management., • Problem-Solving: Can proactively identify potential problems, initiate preventive measures, and propose and contribute to innovative solutions., • Relationship Building: Can proactively seek out opportunities to expand networks, initiate collaborations, and contribute to team cohesion., • Documentation: Can develop comprehensive documentation standards, implement best practices, and ensure documentation supports operational efficiency., • Results Orientation: Can set challenging goals for their team and lead them to achieve these goals, demonstrating a consistent track record of results. Skill Level Requirements • Experience working in complex Data Center sales opportunities - Intermediate, • Ability to design data center infrastructures that include hybrid cloud, hyper converged, software-defined data center (SDDC), infrastructure/platform as a service, automation, containerization, and Data Center Management Platforms - Intermediate, • Strong knowledge of Virtualization technologies, Hypervisors, server virtualization, Software Defined Data Center, containerization, and automation - Intermediate, • Ability to effectively communicate and sell complex technical products or services by understanding customer needs, articulating the value proposition, and providing technical expertise to support the sales process - Intermediate, • Expertise in mainstream technologies to include: Dell Technologies, NetApp, HPE, Cisco, Pure Storage, Azure, AWS, Veeam, Nutanix - Intermediate, • Experience with Disaster Recovery, Business Continuity and High Availability Solutions (backup/recovery, data protection, mirroring, active/standby, active/active, clustering) - Intermediate Other Requirements • Completed Bachelor's Degree or relevant work experience required, • 3-5 years of experience in a similar role, • Ability to travel to Corporate, Partner, and Customer Events, • Advanced certification in one or more of the following mainstream technologies preferred: Dell Technologies, Cisco, VMware, NetApp, Pure Storage, HPE, Azure, AWS, Commvault, Rubrik, Cohesity, Veeam, Nutanix

Company: RELX Title: Applied AI Engineer Type: 3 to 6 Month Contract to Hire Location: 920 Broadway in Manhattan Type: Hybrid Onsite 4 Days a Week Rate: 90-100/ hour, 170-200k to Convert About the role LexisNexis Legal & Professional is hiring an Applied AI Engineer to help shape the next generation of AI-powered legal products and developer experiences. As an Applied AI Engineer at LexisNexis, you will partner with internal teams and enterprise stakeholders to help build AI-powered applications and workflows on top of LexisNexis AI platforms, legal content, and AI-powered workflows and agent-based capabilities. You will work directly with engineering, AI engineering, and data science teams to design and implement production AI applications, agent workflows, and scalable LLM-powered experiences that support complex legal and professional workflows. This role sits at the intersection of AI engineering, data scientist, developer enablement, and customer engagement. You will partner with Product, Engineering, Applied Science, and AI Platform teams to support implementation decisions, accelerate AI adoption, and help teams adopt reusable AI engineering patterns and implementation best practices. This is a deeply hands-on role focused on building, prototyping, and iterating on AI-powered experiences. The ideal candidate combines strong software engineering fundamentals with practical experience deploying LLM applications, agent systems, and AI-native workflows in production environments. What you’ll do Start with customers • Spend real time with lawyers, legal operations teams, and our internal subject-matter experts — in their offices, on their calls, watching their workflows. Develop a strong understanding of customer workflows and operational challenges through direct engagement., • Translate ambiguous, half-formed customer pain into crisp problem statements the team can build against., • Collaborate closely with customers and internal stakeholders to prototype, validate, and refine AI-powered workflows and user experiences based on customer feedback and observed user needs., • Bring the customer voice back into our roadmaps, our model choices, and our trade-offs., • Occasional travel to customer sites may be required to better understand workflows and gather product feedback. Build AI-powered applications and workflows • Contribute to AI-powered applications and workflows for legal and professional use cases, including leveraging existing RAG pipelines, research assistants, and related AI capabilities developed by ML engineering teams., • Implement and iterate on LLM application capabilities such as prompt engineering, multi-step workflows, tool calling, and lightweight agent patterns in collaboration with machine learning engineering teams., • Contribute to scalable orchestration layers for prompting, retrieval, and tool integration across AI services., • Work with frameworks such as LangChain, LangGraph, LlamaIndex, MCP/A2A, OpenAI SDKs, Google ADK, and/or Anthropic/Claude APIs to prototype and productionize AI capabilities., • Participate in experimentation, testing, and performance optimization activities for LLM-based applications in production environments. Contribute to AI Engineering Enablement • Support adoption of AI engineering practices by helping software engineering teams incrementally integrate machine learning and generative AI capabilities into existing products and workflows, in collaboration with AI/ML engineering teams., • Promote reusable AI/ML engineering standards, tooling, and best practices that reduce friction for teams adopting AI and machine learning technologies, while aligning with recommendations from data science and AI platform teams., • Help software engineers expand their capabilities in ML-oriented development for applicable use cases without requiring deep data science specialization., • Support teams in adopting AI-assisted development workflows through prototyping, architecture collaboration, and hands-on engineering support., • Contribute to engineering for LLM applications, AI workflows, and AI-enabled product development., • Assist in building evaluation, monitoring, and observability tooling to improve AI application quality, reliability, and developer visibility., • Collaborate with Product, Engineering, Data Science, UX, Security, and Legal teams to support the adoption of AI and machine learning capabilities across products and platforms., • Create technical documentation, sample applications, tutorials, and implementation guides to help engineers transition from traditional software development to AI-powered application development., • Partner with engineering teams to introduce modern AI engineering practices, reusable tooling, and machine learning workflows into existing software development processes. Bring others with you • Partner closely with data scientists, machine learning engineers, designers, product managers, legal SMEs, and platform engineering teams. Effective AI product development depends on strong cross-functional collaboration and respect for each discipline’s expertise., • Collaborate with and support engineering teams in adopting modern AI engineering practices, agent workflows, and evaluation approaches., • Communicate clearly with people who aren’t engineers — especially lawyers — and adapt your language to the audience without dumbing things down., • Contribute feedback and implementation learnings to shared AI platform capabilities, tooling, and developer workflows., • Contribute constructively to technical discussions, collaborate effectively across teams, and remain open to feedback and evolving implementation approaches. Required qualifications • 6+ years of experience as a Software Engineer, AI Engineer, Platform Engineer, or related technical role., • Strong production experience building LLM-powered applications and deployment at scale., • Strong programming skills in Python and experience building scalable production services and APIs., • Experience designing and implementing AI application architectures in cloud-native environments., • Hands-on experience with modern AI engineering frameworks and tooling such as LangChain, LangGraph, LlamaIndex, OpenAI APIs, Anthropic APIs, MCP, or equivalent systems., • Experience building AI workflows involving retrieval, tool calling, orchestration, context management, and structured generation., • Familiarity with AI observability, evaluation frameworks, and production monitoring., • Experience deploying and operating AI systems on AWS, Azure, or GCP., • Comfortable working in evolving environments and collaborating across teams to deliver AI-powered features and workflows., • Strong communication and collaboration skills with the ability to work effectively across engineering, product, and business teams., • Experience contributing to production systems and collaborating on practical implementation trade-offs. Preferred qualifications • Experience in legal technology, enterprise SaaS, compliance, financial services, healthcare, or other regulated industries., • Experience building AI copilots, AI assistants, workflow automation systems, or multi-agent platforms., • Familiarity with developer platforms, SDK development, API productization, or AI platform engineering., • Experience facilitating technical workshops, hackathons, or developer enablement initiatives., • Strong understanding of AI UX and conversational workflow system design., • Experience with AI evaluation, guardrails, policy enforcement, and responsible AI deployment., • Familiarity with inference optimization, LLM serving infrastructure, or AI infrastructure tooling., • Full-stack or frontend engineering experience for rapid prototyping and developer experience optimization., • Open-source contributions, technical blogging, conference speaking, or AI engineering community involvement. About LexisNexis Legal & Professional LexisNexis Legal & Professional is a global leader in legal information and analytics, serving customers in more than 150 countries. We are investing aggressively in generative AI, agentic systems, and AI-native workflows that help legal professionals research faster, draft with confidence, and make better decisions in complex legal environments. Our mission is to build trustworthy enterprise-grade AI systems that combine cutting-edge innovation with the accuracy, transparency, and reliability required in the legal industry. LexisNexis is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. The salary range for this position is 170k to 200k. Benefits available to contract/temporary professionals, include medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. Our specialized recruiting professionals apply their expertise and utilize our proprietary AI to find you great job matches faster.

Head of Engineering Stealth // Systematic Wealth Management Company New York City preferred · San Francisco, Boston, Chicago, London & other major hubs considered $150,000–$180,000 base + up to 10% for the right candidate The Opportunity We are building a technology company at the intersection of AI, systematic investing, and wealth management. A massive transition is underway in financial services. Capital markets have spent decades moving from human-intensive processes toward systematic, data-driven infrastructure. Wealth management and adjacent parts of asset management are now entering that transition. There is roughly $140T of wealth and assets in the broader market that will increasingly be managed, analyzed, and serviced through intelligent systems. The opportunity is to build the infrastructure for that transition. We are already working with paying customers, have a strong technical and commercial core team, and have additional design partners coming into the platform. The company is backed by experienced industry participants and has substantial mandates in front of it. We are looking for a Head of Engineering to own the technical organization and help build the company through its next stage. You will be the senior technical operator, work directly with the founders, make consequential architectural and product decisions, and help determine what the engineering organization becomes. For the right person, this role can become CTO. You + What You'll Own You'll be a/the senior technical operator in the company, working directly with the founders on architecture, roadmap, and the build itself. This is a player-coach seat: you'll write code, make the hard systems calls, ship alongside a strong core engineering team, and grow the organization as the business scales. • Own the engineering function end-to-end: architecture, infrastructure, development, deployment, reliability, security, and technical standards., • Work directly with the founders to translate an ambitious product vision into a durable technical roadmap., • Make the difficult architectural decisions required to build a system operating across AI, financial data, and complex external integrations., • Lead a small, highly capable engineering team while establishing the culture, processes, and technical standards that will support significant scale., • Balance speed and rigor. We need to move quickly, but the systems we build will ultimately sit inside serious financial workflows where accuracy and reliability matter., • Work closely with product, research, and customers to determine what should be built, how it should work, and where engineering leverage is highest., • Recruit and develop exceptional engineers as the company grows., • Take responsibility when things break. Diagnose problems, establish root causes, and build systems that prevent them from recurring., • Help shape the company's broader technical strategy, including how we use increasingly capable AI models as part of production software. The Technical Challenge The system sits at the intersection of several difficult engineering problems: • AI systems: Harness, LLMs, specialized models, agentic workflows, retrieval, evaluation, and model reliability., • Financial data and execution: Market data, portfolio data, client information, financial documents, and other structured and unstructured datasets., • Data infrastructure: High-quality ingestion, normalization, transformation, storage, and retrieval across numerous external systems., • Production systems: Cloud infrastructure, databases, observability, security, testing, and deployment., • Reliability: Building systems where correctness, traceability, and predictable behavior matter as much as raw velocity. You do not need to have worked with every part of it. You do need to be technically deep enough to understand the tradeoffs and decisive enough to make them. Who We're Looking For We are flexible on background and years of experience. You might be a senior engineer who has already been operating as a technical leader. You might be a founding engineer who has built systems from zero to scale. You might be an engineering leader at a larger company who wants substantially more ownership. • Have exceptional engineering fundamentals and the ability to reason deeply about complex systems., • Be comfortable writing and reviewing production code yourself., • Have strong experience with Python and/or TypeScript/JavaScript and modern cloud infrastructure., • Understand databases, APIs, distributed systems, data pipelines, and production software architecture., • Be comfortable working with AI/ML systems and genuinely interested in where they are going., • Have unusually high standards for correctness and engineering quality., • Be comfortable operating with incomplete information and making decisions without a large organization around you., • Be willing to work under pressure and take responsibility when the answer isn't obvious., • Communicate exceptionally well with both technical and non-technical people., • Want to build something rather than simply manage something. Experience in systematic investing, quantitative finance, capital markets, fintech, or financial services is a meaningful plus, but is not required. Why This Role There are paying customers, active mandates, incoming design partners, a strong founding team, and a substantial market opportunity — but the engineering organization is still small enough that the person taking this role can fundamentally shape it. If you are looking for a role where you can own engineering, work directly with founders, and potentially become the company's CTO, we'd like to meet you. You will have direct access to the founders, meaningful influence over product and company strategy, and the opportunity to build the technical organization from an early stage. For an exceptional candidate, equity can be as high as 10%. New York City is preferred. San Francisco, Boston, London, and other major technology or financial centers will be considered.

Former CTO Base salary: $200K to $300K plus equity Location: New York, 4 days in person | Full time The best startup problems are specific enough to see and important enough to matter. Here, the problem is how a city knows which road needs work next. Covington, Kentucky, is bringing the platform into pavement planning, and Alexandria, Kentucky, reports a major reduction in manual survey work. Bring founder-level judgment to the next customer problem and build the answer. We are hiring for a company building the operating layer for the infrastructure cities maintain. Roads are the starting point: imagery, vehicle data, GIS records, engineering documents, and local knowledge become a living map of assets and their condition. Public works teams can use that evidence to plan capital, explain priorities, and manage work. The longer ambition reaches sidewalks, drainage, signs, bridges, and other public assets. The product has customers, revenue, and funding, while the engineering choices that define the next phase are still open. You would join a world-class engineering team that includes a founding software engineer formerly at Brex and a machine learning engineer formerly at X, Google's moonshot factory. What you'll own Work directly with the founder and public works teams to decide what should exist, then build it. The role reaches from customer discovery and product strategy into interface, backend, data, and production support. • Find the customer pain with the greatest operational and business value., • Run quick tests before committing the team to a larger build., • Ship software that connects evidence, condition, plans, and work., • Create simple engineering habits that support speed and accountability. Problems you'll solve Cities vary in their records, budgets, and approval processes. You will identify what should become a repeatable product and what needs a careful local workflow, while keeping the evidence behind every recommendation visible. Candidate fit • You founded a company or owned broad scope at an early startup., • You still love writing, reviewing, and debugging code., • You can move from a customer conversation to production with a small team., • You can work alongside the founder in New York in person 4 days per week. Role details • Base salary: $200K to $300K, plus founding team equity., • Full time, New York, 4 days in person., • Work directly with the founder and a small engineering team., • Core stack: React, TypeScript, Mapbox, Express, geospatial data, and practical infrastructure., • Visa sponsorship has not been confirmed; please ask if this affects your search. Apply Tell us about a product you personally shipped, the customer problem it solved, the technical decisions you owned, and what happened when people used it. We are especially interested in how you handled imperfect information and what you changed after launch. Exclusively represented by ⚡dynamism This search is led exclusively by ⚡dynamism, a community of exceptional builders, founders, and investors that includes YC alumni, Thiel Fellows, and AI lab researchers. We connect ambitious engineers with career-defining roles at breakout companies backed by leading funds including Y Combinator, a16z, and Sequoia. Learn more at sfdynamism.com. If you believe you’re a particularly strong fit, email Richard directly at richard@sfdynamism.com.

At Guac, we're solving grocery food waste with AI. We forecast exactly how much of each product will sell, helping grocery retailers order and produce the perfect amount of inventory — and we're building AI-native tools that put those forecasts directly into the hands of store operators and buyers. The grocery industry is enormous (it accounts for 4% of GDP) — and grocery food waste is a huge cost to grocers' bottom lines, but also to our planet. Today, we're working with major supermarket chains in the US and Canada, and we've scaled to 7-figures in ARR. We're backed by leading investors including Y Combinator, 1984 Ventures, Collaborative Fund, and angels from Open AI, Instacart, and Citadel Securities. We've brought together an exceptional team from Palantir, BCG, Oxford, Cambridge, and MIT to solve intellectually challenging problems and tackle food insecurity and waste with technology. We're looking for talented engineers in NYC to join our mission. About the Role As a Backend Engineer at Guac, you'll have real impact and ownership over technical decisions, strategy, and product direction. Your responsibilities will include: • Design and build robust backend services that power mission-critical ordering and production planning products, • Build efficient ETL pipelines to handle billions of rows of data, multiple times per day, • Build AI-powered tools and agents for internal and customer use — exposing our data and forecasting systems via MCP servers, tool-use APIs, and similar protocols so that LLMs can reason over and act on grocery operations data, • Collaborate directly with customers' technical teams to understand and integrate with their IT infrastructure, • Help define how we leverage LLMs across the product surface, from agentic workflows to natural-language interfaces over our forecasts About You • 3+ years of relevant software engineering experience, • Strong proficiency in Python and associated frameworks (FastAPI or similar), • AI-native: you use Claude Code, Cursor, or similar AI coding tools daily and ship significantly faster because of it, • Hands-on experience building with LLMs — tool use / function calling, RAG, agents, or evals — and familiarity with MCP or similar protocols for connecting models to data and systems, • Experience designing and operating data-intensive backend systems (ETL, large-scale pipelines, distributed processing), • (Bonus) Experience in customer-facing technical roles (e.g. forward deployed engineer), • (Bonus) Experience deploying LLM-powered features to production at scale What We Offer • First-hand experience building an early-stage startup, • Compensation: $150k–$250k base + competitive equity, • Fully employer-paid healthcare (medical, dental, and vision), • Unlimited vacation days, • Fully covered food expenses in the office (lunch/dinner), • Free Equinox membership Our Tech Stack • Languages & Frameworks: Python, FastAPI, Dagster, Dask, • Cloud & Infrastructure: GCP, Postgres, BigQuery, Terraform, Docker, • AI: MCP servers, Anthropic/OpenAI APIs, agentic tooling Note: this is an in-person 5 days a week, full time job in NYC.

Senior Software Engineer We are currently helping a Series A startup in NYC scale the engineering team. They are looking for a Senior Software Engineer to drive the development of their AI-driven SaaS product. Through a distribution network of MSP’s, they help them and their SMB clients by building innovative AI technologies and applications. The core product experience is similar to tools like OpenAI’s ChatGPT or Anthropic’s Claude: conversational AI, document understanding, tool integrations, workflow automation, and AI-powered productivity features. You as the ideal candidate will be responsible for: • Designing full stack features across UX and backend systems that power the AI platform, • Building custom AI solutions for clients, • Shaping the technical direction and making crucial business decisions on architecture and infrastructure You as the ideal candidate will require: • 5+ years in full stack development, • A product engineering mindset, • Excellent communication skills, • Experience with AI/LLM integrations, • AI-Native development experience: Cursor, Claude etc. This is a great opportunity for an ambitious engineer that wants a chance to build real-world AI systems at the intersection of product, infrastructure, orchestration, and user experience. Interested? Apply now in the link below or email your resume to kieran@alldus.com for consideration.

Role: Staff Software Engineer (Also open to Principal Software Engineers) • Location: New York City (Hybrid 3 days/week out of our office in FiDi / WSA Building), • Type: Full-time, • Reports To: CTO, • Team: Engineering, • Experience Level: 10+ years About SuperCircle Supercircle is the AI-powered operating system for recovering value from billions of unsold and post-sale products across global retail. Brands lose $170B a year to returned, damaged, and excess inventory, and 60% of products and clothing are burned or landfilled within a year of manufacture date. We are unlocking waste as a value generator rather than a cost center, building a new reverse logistics economy for the world’s leading brands. Our AI-powered platform is already the de facto partner for the enterprise market trusted by 100+ brands including J.Crew, VF Corp, GUESS, Reformation, FIGS and Parachute, and has already orchestrated the diversion of 12M+ products from t-shirts to basketballs from landfill while returning $50M+ to our partners' P&Ls. Supercircle is a leading venture backed company in NYC that has raised $40M+ to date from top VCs, including a $24M Series A led by Foundry in 2025 and continuing to grow even faster as we move towards our next round. Led by multi-time co-founders in tech, retail, fashion, and supply chain, Supercircle’s stacked team includes one of the former founders at Gilt Groupe and operators from companies including Flexport, eBay, Equinox, Gap, The RealReal, Afterpay, Meta and Google. We are building the rails for an industry that has, until now, run on spreadsheets and pallets — and we're just getting started on the $170B+ in unmanaged inventory and unrecovered value sitting on brands' balance sheets. About the Role We're looking for a Staff Software Engineer who is a builder first and an engineer second. Someone who gets genuine energy from turning ambiguity into working products, who has already rebuilt their entire workflow around AI, and who asks "why is a human still doing this?" more often than they ask "how should we architect this?" This role is based in New York City. Candidates must be local to the NYC metro area and able to work from our NYC office. We are not considering remote or relocation candidates for this role. You’ll be the anchor of our NYC engineering presence — frequently the only engineer in the office, working alongside a collaborative team and a remote engineering team (for now). This role suits someone deeply self-directed and communicative. What You'll Do • Own and ship meaningful surface area of the SuperCircle platform end-to-end — APIs, web applications, backend services, warehouse and logistics workflows, and partner integrations, • Lead technical design for new domains: schema design, service boundaries, access patterns, and the written-down rationale that outlives the conversation, • Grow into a technical leader for our NYC team — setting direction and eventually mentoring or leading a small group of engineers as we scale here., • Drive and document architectural decisions — RFCs, ADRs, and crisp PR descriptions — and bring the team along with low ego and high conviction, • Build and evolve our AI-assisted development workflow, not just as a participant but as the person who designs how the team uses it safely and at scale, • Mentor and sponsor mid-level and senior engineers through code review, pairing, and direct feedback; raise the bar on testing, observability, and operational discipline, • Engage directly with customers, partners, and commercial conversations — translate what you learn into better product decisions and faster iteration cycles, • Prototype aggressively when the problem is unclear; build for scale when the problem is proven What We're Looking For Experience & Leadership • Typically 8+ years of experience (though we weight trajectory, scope, and ownership over raw tenure) of professional software engineering, with at least 3 years at a staff level at a high-growth or early-stage company, • Demonstrated experience leading technical direction across a team or workstream — you have set the standard, brought others along, and been the person others look to when the hard question has no obvious answer, • A track record of owning systems end-to-end: design, implementation, rollout, on-call, and iteration, • Experience operating close to the product and commercial layers — you have talked to customers, shaped roadmaps, and understood how engineering decisions affect revenue and margin, • Evidence of founder-mode ownership: you have solved problems that weren't your job description because they needed to be solved Builder Mentality • Your instinct when handed an ambiguous opportunity is to prototype, not to ask for requirements, • You are comfortable with incomplete information, changing priorities, and undefined markets — you treat these as inputs, not blockers, • You optimize for outcomes over elegance, and for learning velocity over engineering perfection — without being reckless about it, • You know when to prototype, when to build for production, when to scale, and when to refactor — and you make that call out loud AI-Native Workflow (Non-Negotiable) • You have rebuilt your development workflow around AI — not added it on top, • Daily, hands-on fluency with Claude Code, Cursor, or equivalent agentic coding environments on production codebases, • You have built internal agents, custom skills, MCP servers, or automation tooling for yourself or your team — not as a side project, but as a core part of how you work, • You use AI across engineering, product thinking, research, testing, and documentation — not just for code generation, • You can articulate exactly where AI helps, where it introduces risk, and how to keep human judgment on the decisions that matter, • You think in systems and automation; your default question is "why is a human doing this?" Engineering Fundamentals • Deep TypeScript / Node.js expertise — you have debugged the hard cases and written the postmortem, • Production experience with GraphQL or REST APIs at scale — schema design, query performance, versioning strategy, • Production-grade React and modern meta-framework experience (Next.js, Remix) — SSR/SSG tradeoffs, hydration architecture, • Solid AWS or equivalent cloud fluency — serverless compute, IAM, observability, cost, • Strong NoSQL data modeling — you can design a schema for a domain you've never seen before and defend it under questioning Commercial & Product Instincts • You think from the user backwards — "what is the fastest way to solve the user's problem?" before "how should we architect this?", • You understand revenue, margin, unit economics, and enterprise sales cycles — and you enjoy it, • You ask "how does this help us close another $500k account?" as naturally as you ask technical questions, • You can run customer discovery, design workflows, and prototype interfaces — not just build what someone else spec'd Nice To Have • Experience with reverse logistics, supply chain, warehouse management, or RFID systems, • Multi-tenant SaaS, partner-scoped data, or RBAC at scale, • Past work re-platforming a system that outgrew its original architecture without stopping the train, • Shipped internal AI tooling that made your team measurably faster or safer — lead with this in your application How You Work • You write clearly — design docs, RFCs, and Slack threads are part of how you lead, • You have strong opinions and weak attachment — you can debate hard and align fast with no drama, • You push back on premature abstraction and scope creep, and you make that call out loud, • You feel personal responsibility for company outcomes, not just your ticket queue, • You are direct, low-ego, and focused on finding the right answer — not on being right Why SuperCircle We're the de facto technology and supply chain infrastructure for the post-sale economy. 100+ brands run on our physical AI network to route returns, excess, and trade-ins to their highest-value outcome, and we've already returned $50M+ to their P&Ls. As part of our team, you'll have the rare chance to be a market maker in a category where market, AI, and policy tailwinds are converging at once. If you're ready to define an industry and build with us, let's talk. Ready to join the revolution? Apply now and help us reshape the future of fashion and circular commerce. Email resume to ashley@supercircle.world and include the position you are applying in the subject line of your email. COMMITMENT TO DIVERSITY: SUPERCIRCLE is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone is welcome, is celebrated for being themselves, and can succeed together. SUPERCIRCLE is an Equal Opportunity Employer, providing equal employment and advancement opportunities to all individuals. We recruit, hire and promote into all job levels the most qualified applicants without regard to race, color, creed, national origin, religion, sex, age, disability, gender identity, sexual orientation, military service, caregiver status, credit history, immigration status, or any other status protected under applicable law.

Lead Software Engineer \n $185,000–$215,000 base + 1.5%–2.0% equity \n New York City (Hybrid) \n \n We are working with an early-stage software company building a revenue intelligence platform for complex insurance workflows. \n \n The company helps multi-location healthcare operators identify and recover insurance underpayments by reconciling contracts, claims, fee schedules, and remittance data, then automating evidence-backed recovery workflows. \n \n Following a recent pre-seed raise, the team has strong runway, active design partners, and growing enterprise demand. They are now hiring their first full-time engineer to help lead technical direction and shape the future engineering team. \n \n The Role \n You’ll work directly with the founders and take broad ownership across the platform. \n This is a highly hands-on role spanning product engineering, data systems, integrations, infrastructure and AI-driven workflows. You’ll help define technical direction, make key architectural decisions and play a major role in hiring and mentoring future engineers. \n \n What You’ll Do \n\n • Own critical systems across data ingestion, reconciliation and recovery workflows.\n, • Help set technical direction and make key architectural decisions.\n, • Build reliable integrations across contracts, claims, remittance and customer data.\n, • Develop evaluation and monitoring systems for models and automated workflows.\n, • Work directly with customers to turn complex operational problems into simple products.\n, • Shape engineering standards, processes and technical quality.\n, • Help hire, onboard and mentor future engineers as the team grows.\n\n \n What You’ll Bring \n\n • Strong software engineering fundamentals and experience owning important production systems.\n, • Experience building products in an early-stage or fast-moving environment.\n, • Strong product judgement and comfort working directly with customers.\n, • Confidence making architectural decisions with limited direction.\n, • Experience using modern AI tools while validating outputs and managing reliability.\n, • An interest in technical leadership, mentoring and team building.\n, • Healthcare, fintech or regulated-industry experience is useful but not required.\n\n \n Tech Stack \n\n • LLMs and agentic systems\n, • Data pipelines and integrations\n, • APIs and backend systems\n, • Relational and analytical databases\n, • Cloud infrastructure\n, • Secure multi-tenant architecture\n, • Observability and monitoring\n\n \n Why Join? \n This is a true founding technical role with direct influence over the product, architecture and engineering culture. \n \n You’ll work closely with the founders, help lead technical direction and play a major role in building the engineering team from the ground up. \n \n About People In AI \n People In AI partners with ambitious technology companies to build world-class technical teams, connecting exceptional engineering and AI talent with high-impact opportunities.

About the job \n \n About Agentio \n \n Agentio enables marketers to buy creator led ads as easily and scalably as Meta or Google ads—automating sourcing, pricing, contracting, delivery, and measurement—so work that took months now happens in minutes. \n \n We’re on a mission to transform a $800B digital ad ecosystem by shifting digital ad spend into the hands of creators. That means better outcomes for marketers and enabling creators to live off their work—finally being paid in proportion to the value they create. That shift is accelerating: Unilever’s CEO has said the company will move roughly half of its ad budget into social and creators—Unilever is among the world’s largest advertisers, spending around $9–10B annually. As these dollars move, they need performance-grade pipes; Agentio is how those dollars flow to creators with the speed, control, and measurement marketers expect. We enable brands like Uber, DoorDash, and Bombas to run creator campaigns with the same rigor, control, and accountability as their core performance channels. \n \n Agentio has raised $56M to date at a $340M valuation, including a recent Series B led by Forerunner, which followed our Series A within a calendar year. Our investors also include Benchmark, Craft, and AlleyCorp. Agentio has been named to Forbes’ Next Billion Dollar Startups, 2025, and our platform is already used and loved by the world’s leading marketers and creators. We are just getting started! \n \n About The Role \n \n We’re looking for a senior software engineer with experience in early-stage or high-growth environments to join our team. As a foundational member of engineering, you’ll work directly with our founders to design, build, and launch new product features—from first lines of code to production. Every week, you’ll ship real functionality and have the autonomy to tackle meaningful, complex engineering problems. \n \n You’ll be tackling complex challenges in marketplace design, multimodal content understanding with large models, and campaign optimization in a high-performance environment where technical decisions directly shape product direction and business outcomes. \n \n This is a rare opportunity to get in early at a generational company redefining how advertising works for brands and creators. If you're excited by ownership, fast execution, and real-world impact, this could be a great fit. \n \n What You Need \n \n\n • Experience building and scaling high-quality, maintainable, products from the client to the server\n, • Experience and interest in working across the stack\n\n \n About You \n \n\n • You enjoy building features, as well as designing and scaling architecture Nimble, hungry, humble, and adaptive to change You appreciate good design, and you get excited to translate that into functional experiences that people use every day\n, • You are a human-centric product thinker who loves thinking about how technology can best be used to enhance people's lives\n, • You are excited to learn and grow in a fast-paced environment\n, • A true problem-solver and self-starter, with incredible ambition and drive\n, • Competitive and highly motivated to exceed expectations\n, • Ready to roll up your sleeves, get things done, and work harder than you’ve likely ever worked before, but with far greater reward\n, • A fun, honest, empathetic, and curious teammate\n, • You understand that Agentio is building in-person, 5 days a week\n\n \n What You'll Get \n \n\n • The opportunity to build a first-of-its kind business as an early team-member and make a meaningful impact in the way brands share their stories and creators live off their work.\n, • Crash-course in what it takes to scale a start-up with first-hand exposure to the different foundational business drivers and needs.\n, • The chance to work with an exceptional team and help build our engineering culture\n, • A collaborative, transparent, and engaging work environment.\n\n \n Benefits & Perks \n \n\n • Flexible PTO – Take the time you need to recharge\n, • Comprehensive Health Coverage – Top medical plan through Aetna\n, • Dental & Vision Plans – Protect your smile and your sight with coverage from Guardian\n, • 401(k) Retirement Plan – Invest in your future while you build your career\n, • $100 Monthly Lifestyle Credit – Use it to shop with our amazing Agentio Brand Partners\n, • Free Lunch 5x a week!\n, • Gym in the building! – Your workout, right downstairs\n\n \n The estimated base compensation for this role is between $195,000 and $400,000. Individual compensation is determined by skills, qualifications, and experience. In addition, this role is eligible for equity and competitive benefits. \n \n Agentio is an equal-opportunity employer. All aspects of employment 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. \n

Senior Software Development Engineer is required with strong C#, Microsoft Azure, and AI engineering experience to help deliver a major AI transformation for one of the largest and most prestigious law firms in the US. Based in New York or Washington, D.C., you’ll design and build enterprise-grade AI applications, agentic workflows, and scalable Azure platforms, taking solutions from prototype through to secure production deployment. \n \n Salary: $200- 230k + Benefits + Bonus (Primarily Remote role located close to New York or Washington DC) - Must be eligible to work; no H1B transfers \n \n Key skills required for the Senior Software Development Engineer \n \n\n • 10–15 years’ experience designing and delivering enterprise software.\n, • Strong hands-on C# / .NET development experience.\n, • Deep experience building applications on Microsoft Azure, including App Services, Functions, API Management, Azure SQL, Cosmos DB, and Storage. (Experience with multi-cloud like AWS is ideal)\n, • Production experience building LLM and Generative AI applications, including RAG, tool/function calling, and multi-step workflows.\n, • Experience with AI agents and orchestration frameworks, ideally LangGraph and Semantic Kernel.\n, • Knowledge of Model Context Protocol (MCP), vector/hybrid search, and AI evaluation.\n, • Strong experience with APIs, microservices, distributed systems, and scalable enterprise architecture.\n, • Experience with Docker, Kubernetes, Terraform/Bicep, Git, CI/CD, and DevOps.\n, • Proven technical leadership, architecture, and mentoring experience.\n\n \n What you’ll do as a Senior Software Development Engineer \n \n\n • Architect and build enterprise applications using C#, .NET, and Azure.\n, • Develop production-grade Generative AI and LLM-powered applications for legal and business workflows.\n, • Build solutions using RAG, enterprise search, intelligent agents, MCP, and orchestration frameworks.\n, • Lead technical delivery from proof of concept through to production.\n, • Design scalable APIs, microservices, integrations, and shared platform services.\n, • Establish engineering standards around testing, CI/CD, observability, security, and AI safety.\n, • Work closely with AI Platform, Data Engineering, product teams, attorneys, and senior stakeholders.\n, • Mentor engineers and influence technical architecture and engineering best practice.\n\n \n Why this role? \n \n This is a chance to join one of the largest US law firms at the heart of a significant, large-scale AI transformation. \n \n You’ll work on real production AI systems combining C#, Azure, LLMs, RAG, agentic AI, LangGraph, Semantic Kernel, and MCP, with the opportunity to influence how AI is adopted across a major global organization. \n \n 📩 Apply now or message us for more details. Referrals always welcome! \n \n C#Jobs #AzureJobs #AIEngineering #GenerativeAI #SoftwareEngineering

Our Mission Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™\n \n Our Values One Team, One Dream We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission.\n \n Own It We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence.\n \n Never Stop Learning We cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving.\n \n Spark Solutions We’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals.\n \n Embrace Our Differences We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.\n \n 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.\n \n 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.\n \n In This Role, You Will \n\n • Lead the architecture design and implementation of consumer-facing features in the Tinder app\n, • Build compelling new in-app experiences that will reach tens of millions of users globally\n, • Coordinate with product and design teams and influence the roadmap and product development of the Tinder app and services\n, • Create and maintain internal shared frameworks and libraries\n, • Mentor, collaborate, and learn with innovative and passionate team members \nYou'll Need \n\n • 8+ years of professional experience developing native iOS applications\n, • Extensive experience building applications using Swift\n, • Strong software design skills, including a deep understanding of design patterns (e.g., Clean / MVVM / VIPER, and the benefits of each) and dependency injection\n, • Understanding of design guidelines (i.e. you know how to be a good iOS citizen while maintaining a strong unique brand identity)\n, • Clear communication style within a collaborative team environment\n, • The ability to combine good judgment, empathy, and technical skills \nNice To Have \n\n • BS or MS in Computer Science or Engineering \nCommitment 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: https://www.lifeattinder.com/dei\n \n If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. #Tinder

Forward Deployed Engineer (Forward Deployed Engineer) \n \n High-Growth Applied AI Company \n Series D \n Approaching $1B ARR \n \n About Our Client \n Our client is a rapidly growing applied AI company building autonomous AI software engineers that are transforming how the world's largest organizations develop, maintain, and ship software. \n \n Its AI agents can navigate complex codebases, independently execute engineering tasks, write and debug code, run tests, and submit pull requests for human review. The technology is already being deployed across Fortune 500 engineering organizations, helping teams accelerate software delivery and rethink how engineering work gets done. \n \n \n About the Role \n We are looking for Deployed Engineers to work directly with enterprise customers, helping them integrate autonomous AI software engineers into their existing development environments and workflows. \n \n This role sits at the intersection of software engineering, AI, technical consulting, and customer-facing problem-solving. You will work alongside senior engineering leaders and developers to identify high-impact use cases, build technical solutions, drive successful deployments, and demonstrate measurable business value. \n \n You will have significant ownership over strategic customer relationships and work closely with the core product and engineering teams to shape how autonomous AI is adopted across large organizations. \n \n This is a highly technical, predominantly customer-facing role—not a traditional software engineering or sales engineering position. \n \n What You'll Do \n\n • Partner directly with enterprise customers, including CTOs, VPs of Engineering, and technical teams, to understand their software development workflows and identify opportunities for AI adoption.\n, • Lead technical discovery, solution design, product demonstrations, and enterprise deployments.\n, • Build prototypes, integrations, and customer-specific solutions that demonstrate the value of autonomous AI software engineers.\n, • Work directly within customer codebases, contributing code, debugging issues, and submitting or reviewing pull requests when necessary.\n, • Translate complex technical capabilities into clear business outcomes, helping customers understand the impact on engineering productivity, development velocity, and operational efficiency.\n, • Own the success of strategic customer deployments, from initial pilot through production rollout and broader organizational adoption.\n\n \n What We're Looking For \n\n • Strong software engineering foundation and ability to contribute production-quality code.\n, • Excellent communication skills and confidence presenting technical solutions to senior executives.\n, • Experience in software engineering, forward deployed engineering, solutions engineering, or technical founding roles.\n, • Entrepreneurial mindset, strong ownership, and ability to thrive in a fast-paced environment.\n, • Genuine enthusiasm for customer-facing work; this is a predominantly customer-facing role with less than 25% hands-on coding.\n, • Direct customer-facing experience is preferred but not required for exceptional engineers with strong communication skills.\n\n

Company Description Meridian brings context-aware AI agents to industries that have traditionally been overlooked in technology adoption such as supply chain, manufacturing, staffing and more. The company works closely with sector experts to automate operations, enhance decision-making, and unlock new efficiencies through applied AI. Meridian is backed by leading investors, including Sunflower Capital, Pear VC, SV Angel, and angels from Anthropic. Team members join a fast-moving environment where they can shape products from the ground up and see their work deployed directly in critical industry workflows. \n \n Role Description The Software Engineer role at Meridian is a full-time, on-site position based in New York, NY. In this role, the engineer designs, builds, and maintains backend systems and services that power AI-driven products, with a focus on performance, reliability, and scalability. Day-to-day responsibilities include writing clean, maintainable code, implementing APIs, integrating data sources, and collaborating with product and AI teams to translate requirements into technical solutions. The role also involves participating in code reviews, improving development processes, and troubleshooting production issues to ensure smooth operation of customer-facing systems. Engineers are expected to contribute to architectural decisions, documentation, and continuous improvement of the overall software stack. \n \n Qualifications \n\n • Strong foundation in Computer Science, including algorithms, data structures, and systems fundamentals.\n, • Proficiency in Software Development and Programming, with experience shipping production-quality code.\n, • Hands-on experience in Back-End Web Development, including building and maintaining APIs and services.\n, • Solid understanding of Object-Oriented Programming (OOP) principles and their application in modern codebases.\n, • Experience with Python, TypeScript and relational or NoSQL databases.\n, • Comfort working in Linux-based environments, using version control (Git) and standard development tooling.\n, • Ability to collaborate in a cross-functional team, communicate clearly, and take ownership of projects from design through deployment.\n, • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience; prior experience with AI/ML systems or data-intensive applications is a plus.\n

\n Backend Development \n 📍 Hoboken, NJ (Onsite) \n 🏢 HCLTech \n 💼 Full-Time \n About the Role \n HCLTech is seeking an experienced Backend Development engineer to join our engineering team in Hoboken, NJ. This role will lead the design, development, and implementation of scalable backend systems, APIs, and cloud-native services supporting enterprise-grade applications. The ideal candidate will have strong expertise in backend architecture, API development, database design, cloud platforms, and modern authentication frameworks. \n Key Responsibilities \n\n • Collaborate with product owners, architects, and frontend engineering teams to analyze user stories and define backend architecture.\n, • Design, develop, and maintain scalable RESTful APIs and microservices.\n, • Build robust backend solutions using Node.js, Python, Java, Spring Boot, and Express.js.\n, • Design and optimize relational and NoSQL database models while addressing performance, scalability, and non-functional requirements.\n, • Implement unit testing, code reviews, and CI/CD best practices to ensure high-quality software delivery.\n, • Integrate third-party platforms, APIs, and enterprise applications.\n, • Develop and maintain secure authentication and authorization frameworks, including SSO integrations.\n, • Ensure applications adhere to OWASP security standards and industry best practices.\n, • Optimize application performance through caching, rate limiting, and efficient database design.\n, • Mentor developers and provide technical leadership throughout the development lifecycle.\n\n Required Skills \n Backend Technologies \n\n • Node.js\n, • Python\n, • Java\n, • Spring Boot\n, • Express.js\n\n Database Technologies \n\n • MySQL\n, • SQL Query Optimization\n, • MongoDB\n, • Redis\n\n API & Integration \n\n • RESTful API Design and Development\n, • API Security\n, • Rate Limiting\n, • Third-Party Integrations\n\n Cloud & DevOps \n\n • AWS or Microsoft Azure\n, • CI/CD Pipelines\n, • Containerization and Deployment Best Practices\n\n Security & Identity Management \n\n • OWASP Security Standards\n, • Authentication & Authorization\n, • Single Sign-On (SSO)\n, • SAML\n, • OpenID Connect (OIDC)\n\n Preferred Qualifications \n\n • Experience leading backend development teams in an Agile environment.\n, • Strong understanding of scalable distributed systems and microservices architecture.\n, • Experience building high-availability, enterprise-grade applications.\n, • Excellent communication and stakeholder management skills.\n, • Ability to collaborate across cross-functional teams and drive technical decision-making.\n\n Why Join HCLTech? \n\n • Work on large-scale digital transformation initiatives.\n, • Collaborate with highly skilled engineering teams.\n, • Opportunity to lead architecture and backend modernization efforts.\n, • Competitive compensation and benefits package.\n, • Career growth within a global technology organization.\n\n \n \n \n \n Pay and Benefits \n Pay Range Minimum: $ 69,000 per year \n Pay Range Maximum: $ 130,000 per year \n \n HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation. \n A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year \n How You’ll Grow \n \n At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best. \n

Part of the Interparfums group founded in 1982, Interparfums USA develops, manufactures and distributes prestige fragrances as the exclusive worldwide licensee for Abercrombie & Fitch, Anna Sui, David Beckham, DKNY, Donna Karan, Graff, GUESS, Hollister, MCM, Nautica, Oscar de la Renta, Roberto Cavalli, Salvatore Ferragamo and Ungaro. Through its global distribution network, the Company’s products are sold in over 120 countries. \n \n As a key member of our Creative team, the Senior Production Artist bridges the gap between design turnover and final artwork files for suppliers. You will translate design concepts into flawless, technically precise, print-ready packaging files across primary and secondary components. \n \n Reporting to the Production Director, you bring a strong eye for technical detail, including dielines, typography, and print specifications, along with a deep appreciation for the aesthetics of prestige beauty. \n \n This position is based in office from Mondays-Thursdays, and remote on Fridays. \n \n Key Responsibilities \n\n • Mechanical File Creation: Build accurate mechanical files for primary components (direct deco bottles, labels, tubes) and secondary packaging (cartons, giftsets, etc.)\n, • Dieline Mastery: Review, apply, and adapt structural dielines, ensuring 1:1 and exact placement of all graphic elements, bleeds, and safety zones\n, • Line Extensions: Adapt existing core brand file set-up across complex regional packaging sizes, translations, and global SKU variants\n, • Typography & Layout: Maintain typographic consistency, managing text wraps, kerning, ingredient list formatting, multi-lingual translations and legal requirements\n, • Team Collaboration: Liaise with cross-functional teams, including packaging engineer, marketing, and regulatory\n, • Communication: Clear communication with senior leadership and stakeholders regarding project status, potential risks, and action plans to mitigate delays\n, • Process Improvement: Evaluate processes and identify areas for improvement; Implementing solutions to streamline workflows, enhance quality, and reduce costs.\n, • Proof Verification: Ensure printer proofs contain specified spot colors, varnish layers, and high-resolution imagery\n, • Supplier Interaction: If warranted, coordinate with overseas/ domestic printers and packaging engineers to resolve technical file issues\n, • Color Management: Maintain consistent brand color standards across varied packaging substrates and print processes (e.g., offset, flexography). Understand regional print color profiles for proof to press expectations. Output match prints for vendor target\n, • Digital Archiving: Maintain highly organized project directories, standardized file naming structures, and master digital asset libraries\n, • Physical Prototyping: Produce in-house mockups and/or digital files to comp houses\n, • Timeline Execution: Manage production tasks for multiple concurrent product launches, ensuring strict adherence to global manufacturing deadlines\n, • Miscellaneous Duties: May include minor retouching, color correction and conversions\n\n \n Education/Experience \n\n • Bachelor’s degree in Graphic Design, Packaging, Marketing or a related field.\n, • 5+ years of Production Management experience.\n, • Beauty industry experience required, fragrance preferred. Packaging design agency experiences are welcomed.\n\n \n Required Skills \n\n • Excellent problem-solving, and decision-making skills to address production challenges\n, • Strong organizational skills and attention to detail to manage multiple projects simultaneously.\n, • Mastery of Adobe Creative Suite, with expert-level proficiency in Adobe Illustrator and Photoshop\n, • Ability to interpret technical drawings and print specifications details\n, • Proficient with Microsoft Office Suite and project management software\n, • Excellent communication skills, both verbal and written, with the ability to effectively collaborate across departments\n, • Fundamentals of various printing processes, specialty finishes (hot stamping, embossing), ink limitations, and substrates\n, • Exceptional proofreading skills and an eagle-eye focus on picking up minor alignment, copy, or structural discrepancies\n, • Curious about emerging AI-powered creative tools and how we can incorporate.\n, • Ability to travel occasionally, 1-2 times per year.\n\n \n We Offer \n\n • The salary range for this position is $100,000-$120,000 annually, commensurable with skills, experience, and qualifications\n, • Bonus opportunity based on personal and business performance\n, • Robust healthcare, insurance, and benefit options\n, • Paid time off policies including vacation, personal, holiday, and sick days\n, • 401K plus company match\n, • Options to support development, including complimentary access to LinkedIn Learning\n, • An entrepreneurial career with a dynamic environment where all voices are heard and appreciated\n, • Low hierarchy with high visibility to C-Suite on a regular basis\n, • A growing company with a proven track record of solid financial stability\n\n \n Interparfums USA, LLC is an Equal Opportunity Employer and is committed to providing fair and equitable employment opportunities in compliance with all applicable federal, state, and local laws.

Senior/Staff Java Engineer — Electronic Trading Platform \n A well-funded fintech is building the infrastructure that loans and CLO markets have never had. Trillions of dollars in these markets still move through phones, emails, and PDFs. This team is replacing that with real-time, AI-driven trading infrastructure — and they need serious backend engineers to build it. \n The role \n You'll be deep in the core of a proprietary electronic trading platform: high-throughput, low-latency systems handling real-time market data and trade execution. This isn't CRUD work — it's distributed systems, concurrency, and performance engineering applied to a market that's never had modern infrastructure. NYC-based (Manhattan), 4 days in-office, Friday remote. \n What you'll actually build \n\n • Core trading engine components — order management, matching logic, real-time pricing\n, • High-throughput, low-latency services processing live market data\n, • Multithreaded, concurrent systems where correctness and performance both matter\n, • Backend architecture as the platform transitions fully in-house\n, • Data pipelines and APIs that product and quant teams build on top of\n\n What we need \n\n • 8+ years building production Java systems — this is a Java shop, not a "Java is fine" shop\n, • Deep multithreading and concurrency chops — real experience with concurrent data structures, lock-free patterns, thread pool design, not just textbook knowledge\n, • Strong CS fundamentals — data structures, algorithms, distributed systems\n, • Relational databases and SQL at a level where you're optimizing queries, not just writing them\n, • Experience building and scaling cloud-based backend systems\n, • Bonus: experience in trading systems, market data infrastructure, or other latency-sensitive domains (fintech, ad-tech, gaming backend, HFT)\n, • Bachelor's in CS, engineering, or related field\n\n Comp \n $180,000–$200,000 base, plus equity and year-end bonus. Full medical/financial benefits, 90% company-paid healthcare, flexible PTO, daily breakfast/coffee/snacks, onsite gym. \n Equal opportunity employer — does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our client in Dallas, TX, is seeking a Lead Full Stack Engineer to join their team! \n \n This is an onsite/full-time/direct-hire position \n Salary range based on experience: $130K-$140K \n \n Our client is seeking a Principal Full Stack Engineering Lead Consultant to direct delivery, guide modern frontend and backend architecture, and drive measurable client outcomes for enterprise platform initiatives. This role operates at the intersection of hands-on software development, system design, AI-assisted software engineering, agentic architecture, and technical leadership. You will lead cross-functional engineering teams through application modernization and enterprise platform delivery while serving as a trusted technical point of contact for client stakeholders. \n \n Your Impact \n\n • Lead the architectural design and delivery of secure, scalable enterprise applications using modern Angular frontends and Java enterprise microservices.\n, • Modernize legacy application architectures into modular, microservices-driven, and event-driven architectures.\n, • Drive the adoption of AI-enabled engineering workflows and agentic capabilities, incorporating RAG integration, MCP (Model Context Protocol) server architectures, and automated testing practices to accelerate time-to-market.\n, • Elevate team throughput, code quality, and delivery predictability by setting strict engineering guardrails, design patterns, and testing standards.\n, • Act as a primary technical contact for client leadership, aligning technical roadmaps with business objectives and stakeholder priorities.\n\n \n What You Will Do \n\n • Provide hands-on technical leadership across the software development lifecycle, defining frontend and backend architecture, engineering standards, and technical strategy.\n, • Lead the architectural design and development of enterprise applications using Angular 16+, TypeScript, RxJS, state management, and component design systems.\n, • Architect and develop secure backend microservices, RESTful APIs, and integration layers using Java 11/17+, Spring Boot, and enterprise authentication protocols (OAuth2, JWT).\n, • Design and execute advanced AI integrations, including Agentic RAG patterns, custom MCP (Model Context Protocol) server connections, enterprise vector database RAG pipelines, and AI-assisted developer tooling (GitHub Copilot, Claude Code, TestPilot AI).\n, • Direct, mentor, and elevate an engineering team, establishing delivery practices, code review standards, WCAG 2.1 AA accessibility compliance, CI/CD pipelines, and observability practices.\n, • Translate business requirements into architectural decision records (ADRs), technical roadmaps, and actionable execution plans in close collaboration with client Product Managers and UX teams.\n\n \n What You Will Bring \n Must Have Experience \n\n • 12+ years of professional software engineering experience, with 8+ years dedicated to enterprise-scale Angular application development (Angular 14+, TypeScript, RxJS, state management, SCSS, responsive design).\n, • 5+ years of enterprise backend engineering experience using Java 11/17+, Spring Boot, RESTful APIs, microservices architectures, and relational or NoSQL database integration.\n, • 3+ years in formal technical leadership positions (Principal Engineer, Tech Lead, Staff Engineer) with direct experience guiding engineering teams and defining system architecture.\n, • Applied experience with advanced AI integrations and agentic architectures, including production RAG integration, Agentic RAG workflows, and MCP (Model Context Protocol) Server implementation or integration, alongside AI-assisted development tools (e.g., GitHub Copilot, Claude Code, OpenAI APIs).\n, • Deep expertise in frontend performance optimization (lazy loading, change detection, caching), Web Accessibility standards (WCAG 2.1 AA / ADA compliance), and enterprise design systems.\n, • Strong hands-on experience with automated testing frameworks (Cypress, Jest, Jasmine, Karma, JUnit) and enterprise CI/CD pipelines (GitHub Actions, Jenkins, Docker).\n, • Proven track record of working directly with enterprise client stakeholders to drive architectural decisions and deliver business results.\n\n

Senior Software Engineer (TypeScript / React / LLM Systems) • AI Infrastructure • $250,000 • Hybrid (2 days/week) • New York, NY \n \n Must be based in NYC & the role requires US Citizenship due to regulatory constraints. No sponsorship/visas/Green Card. \n \n About the Role \n We’re hiring a Senior Software Engineer to help build production-grade LLM-powered systems used in high-impact, real-world workflows. \n \n This is a true SWE + ML role. You’ll sit at the intersection of frontend UX, backend systems, and applied machine learning - owning features end to end. That includes React-heavy user interfaces, TypeScript services, and the pipelines that power LLM reasoning, retrieval and fine-tuning behind the scenes. \n \n You’ll work closely with product, design and ML engineers to ship tools where reliability, clarity and user experience matter just as much as model quality. \n \n Why You’ll Love It: \n Own real systems: From UX flows to LLM pipelines running in production. \n Engineering-first culture: Practical ML, not research theatre. Everything ships. \n High-impact UX: Build interfaces used daily by technical and non-technical users. \n Move fast: Small teams, short cycles, minimal process overhead. \n Serious problems: Latency, hallucination control, evaluation, observability and scale. \n \n What You’ll Do \n\n • Design and build TypeScript services that power LLM workflows including RAG pipelines, prompt orchestration and fine-tuning flows.\n, • Develop rich, intuitive React interfaces for AI-driven products - heavy focus on UX, clarity and usability.\n, • Implement retrieval systems using vector databases, hybrid search and structured data sources.\n, • Work hands-on with LLM APIs and open-source models (OpenAI, Anthropic, open-weight models).\n, • Collaborate with ML engineers on evaluation, fine-tuning strategies and production rollout.\n, • Own backend architecture across Node.js services, async pipelines and model-facing APIs.\n, • Improve system reliability through logging, monitoring, tracing and failure handling.\n, • Mentor engineers and contribute to design and architecture decisions across the platform.\n\n \n Tech Stack \n Frontend: React, TypeScript, Next.js, Tailwind CSS, Storybook \n Backend: Node.js, TypeScript, REST, GraphQL \n LLM Systems: RAG pipelines, fine-tuning workflows, prompt orchestration \n Data & Retrieval: PostgreSQL, Vector DBs (Pinecone, Weaviate, pgvector), Redis \n Infrastructure: AWS, Docker, Kubernetes, Terraform \n Observability: OpenTelemetry, Prometheus, Grafana, Sentry \n \n Nice to Have \n\n • Experience building production LLM systems beyond prototypes\n, • Hands-on fine-tuning experience (LoRA, adapters, evaluation pipelines)\n, • Background in ML engineering or applied NLP\n, • Experience designing complex frontend UX for data-heavy or AI-driven products\n, • Familiarity with model evaluation, guardrails and hallucination mitigation\n\n \n Interview Process \n\n • Intro Call with Open Talent (30 mins)\n, • Technical Deep-Dive (TypeScript / React + LLM systems, 60 mins)\n, • System Design & Architecture (45 mins)\n, • Leadership Chat with CTO (30 mins) → Offer\n\n \n What We Offer \n Comp: $160K-$240K W-2 (+ meaningful equity) \n Benefits: Health, dental, vision, 401(k) \n Time Off: Flexible PTO + company holidays \n Growth: Conference budget, learning allowance \n Environment: Hybrid (2 days NYC office), flexible notice period \n \n Equal Opportunity \n We're hiring for an Equal Opportunity Employer. \n Due to strong market interest, please apply early or email sufy@opentalent.uk to avoid missing out. \n \n All NYC roles posted here first: \n linkedin.com/in/sufyanbashir/

Founding Engineer | AI-Native Healthcare RCM \n \n Shields Group Search is partnering with an AI-native healthcare company to hire its Founding Engineer. This will be the first dedicated engineer on the team, working directly with the CEO to architect, build, and scale the platform powering the business. \n \n The Opportunity \n Sequoia recently argued that the world's next trillion-dollar company won't sell software. It will sell outcomes, using AI to deliver services at software-like margins. They call it "Services as Software," and it's flipping the $6T global services market on its head. \n \n Our client is that thesis applied to one of the most broken and most expensive corners of American healthcare: revenue cycle management. \n \n They're building an AI-native RCM platform for complex outpatient specialties. Not another SaaS dashboard that sits on top of legacy workflows. They deliver the actual service: intake, benefits verification, prior authorization, claims, denials, appeals, and patient pay. End to end. AI does the heavy lifting. Humans handle judgment calls. \n \n The company already has paying clients, an existing book of business with ~$50-60M in annual collections, and an offshore operations team. This isn't a pre-revenue startup searching for product-market fit. They're scaling a real business with real revenue and need an engineer who can build the AI layer that turns a services company into a platform company. \n \n Why This Matters \n Healthcare RCM is a $150B+ market dominated by legacy vendors running manual processes. \n The average practice loses 5-10% of revenue to preventable denials. Prior authorizations alone cost the US healthcare system $35B per year in administrative waste. \n \n For specialty practices such as infusion centers, pain management, and orthopedics, the complexity is even worse: \n\n • Buy-and-bill drug reimbursement\n, • Step therapy requirements\n, • Medical vs. pharmacy benefit determination\n, • Payer-specific formulary rules\n\n \n Most RCM companies throw headcount at the problem. This company is building AI that replaces headcount with intelligence, compresses margins, and delivers better outcomes at lower cost. \n \n That's the Sequoia thesis in practice: a services company that looks like a tech company from the inside. \n \n What You'll Build \n You'll be the first dedicated engineer on the team, working directly with the CEO to architect and ship the platform that powers everything. \n The platform, already in development, is a full-stack system built on Next.js, TypeScript, PostgreSQL, and AWS, including ECS Fargate, SQS, RDS, and S3. \n Intake and Referral Processing \n\n • Multi-source referral ingestion across fax, email, portal, and EHR\n, • AI-powered document classification and field extraction via OCR + LLM\n, • A 3-column review workbench: source document, extracted fields, checklist\n, • Missing document detection and automated follow-up triggers\n, • Full state machine from Received through Scheduled\n\n Benefits Verification \n\n • Real-time eligibility checks via payer APIs including Availity, Change Healthcare, and Stedi\n, • Drug-specific benefit determination across medical vs. pharmacy\n, • Payer-specific rule engine for coverage requirements and formulary checks\n\n Prior Authorization Automation \n\n • AI-drafted PA submissions with clinical evidence assembly\n, • Integration with payer portals and FHIR-based electronic PA\n, • Status tracking, auto-follow-up, and deadline management\n, • Medical evidence retrieval from PubMed, clinical trials, and FDA drug labels\n\n Claims Intelligence \n\n • Deterministic rules engine for pre-submission claim scrubbing\n, • Payer-specific edit detection\n, • Code suggestion based on clinical documentation\n\n Denial Management and Appeals \n\n • Denial categorization and root cause analysis\n, • AI-generated appeal letters with supporting medical evidence\n, • Outcome tracking and pattern detection across payers\n\n Command Center \n\n • Real-time dashboards for AR aging, denial rates, and collection trends\n, • Per-clinic and per-payer analytics\n, • Staff productivity tracking\n\n \n This is not a prototype. \n This is a production system with live integrations across EHR, payer, fax, and evidence APIs, multi-tenant architecture, and real data flowing through it. \n You'll own it, extend it, and scale it. \n \n What We're Looking For \n You're a full-stack engineer who's been in the weeds of healthcare. \n Ideally, you've worked at a company that touches billing, claims, prior auth, or administrative automation. Companies like: \n\n • Olive AI\n, • Athelas / Commure\n, • AKASA\n, • Candid Health\n, • Waystar\n, • Cedar\n, • Collectly\n, • Infinitus\n, • Or similar\n\n You've seen how broken the system is from the inside, and you want to fix it. \n \n Technical Requirements \n Strong full-stack skills: TypeScript, React/Next.js, Node.js, PostgreSQL. You'll own the entire stack. \n Experience with healthcare data standards: X12 EDI (837/835/270/271), HL7, FHIR. You don't need to know all of them, but you should know what they are and have worked with at least one. \n AI/ML integration experience: You've built systems that use LLMs in production. Prompt engineering, RAG pipelines, structured output parsing, model routing. Not research. Production. \n Cloud infrastructure: AWS preferred, including ECS, SQS, RDS, S3, and Bedrock. You should be comfortable deploying and operating production services. \n Healthcare compliance awareness: HIPAA, BAA requirements, PHI handling. You don't need to be a compliance officer, but you need to build systems that handle protected health information correctly. \n \n Bonus, Not Required but Meaningful \n Prior authorization or benefits verification systems. If you've built PA automation, you know how painful and valuable this is. \n OCR/document processing pipelines. The platform ingests thousands of faxed referrals and insurance cards. \n Payer portal automation: RPA and browser automation. Many payer interactions still require portal navigation. \n Multi-tenant SaaS architecture. The platform serves multiple clinics from day one. \n Healthcare API integrations: Availity, Change Healthcare, athenahealth, WeInfuse. Direct experience with these systems saves months of ramp-up. \n \n Who You Are \n You want to be a founding engineer, not employee #500 at a growth-stage startup. \n You want ownership. Real equity, not a rounding error on a cap table. \n You've been at your current company long enough. Maybe you're past your cliff. Maybe the company got acquired and the magic is gone. Maybe you're tired of building features that don't matter for a product that doesn't move the needle. \n You want to build something that matters. \n You care about healthcare. Not because it's trendy, but because you've seen how much waste, how much pain, and how many people get caught in the gears of a system that wasn't designed for them. \n You want to fix it with better technology, not more headcount. \n You're comfortable with ambiguity. At a founding stage, the roadmap changes. Priorities shift. You'll be making architectural decisions that define the company for years. \n That excites you, not scares you. \n \n What We Offer \n Founding equity. This is a ground-floor opportunity with meaningful ownership. \n Direct access to the CEO. No layers, no politics. You'll work directly with the founder on product, architecture, and strategy. \n Revenue from day one. The company isn't burning runway hoping for product-market fit. They have clients. They have collections. They're building AI to scale what's already working. \n The Sequoia thesis in practice. You're not joining a SaaS company hoping AI will be a feature. You're joining a services company where AI IS the margin. Every model you ship and every automation you build directly drops to the bottom line. \n A massive market. Healthcare RCM is $150B+. Specialty RCM is underserved and growing. The regulatory tailwind, including CMS prior auth reforms and interoperability mandates, is accelerating. \n \n About the Company \n Our client is an AI-native revenue cycle management company focused on complex outpatient specialties, including: \n\n • Ambulatory infusion centers\n, • Pain management\n, • Orthopedics\n, • Rheumatology\n, • And more\n\n \n The company combines deep operational expertise with AI-powered automation to deliver better financial outcomes for specialty practices. \n They're backed by experienced healthcare and technology operators. They move fast, ship weekly, and measure everything. \n \n If you want to build something real at the intersection of AI and healthcare, this is the opportunity.

Join a lean, elite team at a hedge fund managing more than $60 billion with about 250 people. \n We're looking for a product-minded engineer to build AI tools that change how our people research, analyze, decide, and communicate. This isn't about bolting a chatbot onto a dashboard. You'll find the problems that matter most, design the workflow, build it end to end, and see it used daily by demanding, highly technical users who will tell you exactly what's \n working. \n \n What you'll do \n\n • Work closely with investment professionals to find high-value problems where AI can meaningfully change how work gets done.\n, • Own features from first sketch and workflow design all the way through to production.\n, • Build trustworthy, reliable integrations that users can depend on when real capital is on the line.\n, • Design feedback and evaluation loops so products keep getting sharper, not just shipped and forgotten.\n\n \n What you bring \n\n • A track record of shipping polished full-stack or application software from ambiguous, loosely defined requirements.\n, • Strong Python and TypeScript skills, or deep experience with a comparable product stack.\n, • Hands-on experience with LLM applications, AI design patterns, and evaluation methods.\n, • Real product sense and user empathy, and the ability to translate what users say into what they actually need.\n\n

Client Overview Our client is a leading personal care company focused on innovative and sustainable beauty products. The company is committed to delivering high-quality formulations to a global customer base. They are known for their collaborative culture and dedication to product excellence. They are currently looking to add a Packaging Engineer to their team.\n \n Salary/Hourly Rate $40/hr - $50/hr\n \n Position Overview Our client is seeking a Packaging Engineer on a contract (3 - 6 months), with potential for Perm (based on performance and budget) and on a hybrid model (3x onsite) to lead technical milestones in packaging development, ensuring quality, feasibility, and timely delivery. This role collaborates closely with Marketing, Design, and Production teams to develop packaging solutions that meet project goals and cost requirements. The ideal candidate is a proactive self-starter with strong technical expertise and cross-functional collaboration skills.\n \n Responsibilities Of The Packaging Engineer \n\n • Own all technical milestones of Packaging Development, including:\n \n, • Selection & validation of stock packaging and drawing validation of custom packaging.\n, • Homologation and compatibility testing.\n, • Industrialization feasibility at filler (line trial validation).\n, • Industrialization of color and decoration execution (color matching and deco trials).\n, • Validation of pack-out for components and shipper development for finished goods (ship testing).\n \n, • Manage packaging development timelines by working closely with project managers and vendors to meet key milestones and support launch timing.\n, • Write and create packaging specifications, fill and assembly instructions, and pre-bill of material documents.\n, • Collaborate with the Marketing, Design, and Product Innovation teams to select and develop appropriate packaging within time and cost constraints.\n, • Manage external relationships with component vendors and finished goods fillers/subcontractors to ensure project progress and visibility into the innovation pipeline. \nRequired Experience/Skills For The Packaging Engineer \n\n • 3+ years of experience in packaging development.\n, • Experience in packaging color matching.\n, • Understanding of material selection.\n, • Ability to read technical drawings and review AW files.\n, • Knowledge of homologation testing procedures.\n, • Self-starter comfortable with cross-functional collaboration. \nPreferred Experience/Skills For The Packaging Engineer \n\n • CAD literacy and experience.\n, • Familiarity with industrialization processes and packaging line trials.\n, • Strong project management and vendor coordination skills.\n, • Experience in cosmetics or consumer goods packaging development. \nEducation Requirements \n\n • Bachelor’s degree is required. \nBenefits \n\n • Atrium Care Package available, upon eligibility (including healthcare plans, discount programs, and paid time off). \n

Founding Engineer \n \n We are currently partnered with a fast-growing NYC startup to scale the engineering team. They’re building an AI-powered platform that modernizes commercial property insurance by centralizing data and using analytics to improve risk management, pricing, and distribution. \n \n They’re looking for intellectually curious engineers with a passion for product to work directly with the CTO and help them scale. The role is hands-on and high-agency, built for someone early in their career who wants to thrive in a startup environment. \n \n You as the ideal candidate will be responsible for: \n\n • Working with a small team to ship fast and own parts of the systems\n, • Extracting data from document-heavy sources and joining it against external datasets\n, • Building models and workflows to turn data into intelligence to drive decisions\n, • Scoping the customer-facing product where customers organize and act on insurance portfolios\n\n \n You as the ideal candidate will require: \n\n • The desire to work in and thrive in a fast-paced startup environment\n, • Ability to work across the full stack\n, • Excellent communication skills, will be engaging on client calls\n, • CS or similar Degree\n\n \n This is a great opportunity for an ambitious engineer that wants a chance to join an early-stage startup with huge potential. \n \n Interested? Apply now in the link below or email your resume to kieran@alldus.com for consideration.

The Opportunity \n A high-growth, well-funded startup is rebuilding an entire industry's relationship with data, using AI agents to turn messy, unstructured chaos into clean, actionable intelligence at scale. Built natively around modern ML/AI from day one, not bolted onto legacy systems, the platform is already driving measurable results for enterprise customers. They've been recognized as one of the standout early-stage players in their space, and they're continuing to scale fast. \n \n They're hiring a Senior Software Engineer to help build the product experience end to end, from backend services to the UI customers actually touch, with regular exposure to the AI agent layer powering the platform underneath. You'll work directly with founders, shipping end-to-end product features in a high-ownership, fast-paced environment. \n \n The Stack & Scale \n React/TypeScript on the frontend, Python and Node.js on the backend, deployed on AWS. The platform's AI layer runs on LLMs, RAG pipelines, and LangChain, so you'll be shipping features that sit right on top of that infrastructure. \n \n What You'll Do \n\n • Build and ship fullstack features across the product, from backend services to frontend UI\n, • Work with the engineers building the AI agent layer to surface agent outputs and AI-driven features in the product\n, • Design and scale backend services and APIs supporting real-time, high-throughput workloads\n, • Partner with product and design to take features from concept to production\n, • Contribute to reliability, performance, and code quality across the stack\n, • Work directly with founders and have real say in product features, roadmap, and technical decisions\n\n \n What Makes You a Fit \n\n • Bachelor's Degree in Computer Science or related STEM field\n, • 5+ years of fullstack engineering experience\n, • Strong experience with a modern frontend framework (React, Vue, etc.)\n, • Backend experience with Python, Node.js, Golang, or similar\n, • Experience working with or around AI/ML systems, hands-on LLM or agent experience is a bonus but not a dealbreaker\n, • Solid understanding of API design, databases, and cloud infrastructure, AWS a plus\n, • Startup experience preferred, but we care more about how you think and build than where you've worked\n, • Strong communicator and takes ownership without being asked twice\n\n

MrSteam is looking for an early-career Mechanical Design Engineer who enjoys hands-on product work and wants to grow into broader engineering ownership over time. \n This is a great opportunity for someone who likes to understand how products actually work - not just design them on screen. \n You'll work across: \n\n • SolidWorks 3D modeling and 2D drawings\n, • Product testing, lab setup, and technical reporting\n, • Sustaining engineering and product improvements\n, • Manufacturing and tooling support\n, • Troubleshooting mechanical, plumbing, and electrical product issues\n, • Supplier and technical-service support\n, • Cost and value-engineering projects\n\n What we're looking for \n\n • Hands-on mechanical engineering aptitude\n, • SolidWorks experience\n, • Strong engineering problem-solving skills beyond CAD\n, • Comfort working with physical products, testing, and troubleshooting\n, • Mechanical Engineering background preferred\n, • HVAC, appliance, plumbing, or similar product experience is a plus\n, • 0-5 years of experience, including strong recent graduates\n\n What success looks like \n During the first year, you'll build deep knowledge of MrSteam products, take on increasingly independent engineering assignments, and develop toward ownership of defined design, testing, sustaining, and product-support projects. \n If you're an engineer who enjoys building, testing, troubleshooting, and learning how things work, I'd love to connect.

Senior AI Software Engineer (Full Stack) \n \n \n At Dioptra, we're transforming the way enterprises do business by turning contracts into structured business intelligence that powers enterprise systems. We're accelerating that vision by combining industry-leading AI technology with a world-class engineering team. As an early member of the Dioptra team, you'll work alongside the founders who built one of the industry's most advanced contract AI platforms and help define the future of enterprise legal technology. This is an opportunity to work on cutting-edge AI agents, influence product direction, and solve complex technical challenges in a rapidly growing market. \n \n \n About the Role \n We're looking for a Senior AI Software Engineer to help build the next generation of AI-powered contract intelligence products. You'll collaborate closely with engineering, product, and design teams to architect, develop, and scale intelligent applications that combine modern AI capabilities with enterprise-grade software engineering \n \n As one of the early engineers on this team, you will \n\n • Design, build, and maintain Agentic AI-powered applications across the full stack\n, • Develop intelligent workflows using modern agentic frameworks\n, • Architect scalable backend services and user-facing applications\n, • Build reliable integrations with enterprise systems and cloud infrastructure\n, • Drive engineering best practices, technical strategy, and architectural decisions\n, • Define success metrics and continuously improve product performance\n, • Partner directly with leadership and product teams to deliver customer value\n, • Take ownership of major technical initiatives from concept through production\n\n \n Required Qualifications \n Experience \n\n • 4+ years of professional experience building AI-powered software products (8+ years preferred for senior candidates)\n, • Experience working in a SaaS startup or other fast-paced product environment\n, • Proven ability to thrive in ambiguous, rapidly evolving environments.\n, • Daily experience using AI-assisted development tools such as Cursor, Codex, or similar\n\n \n Technical Skills \n\n • Strong proficiency in Python\n, • Experience with SQL and relational databases (PostgreSQL preferred).\n, • Hands-on experience building applications using LLMs from OpenAI, Anthropic, or similar providers.\n, • Experience with AI agent frameworks such as LangGraph, LangChain, CrewAI, or AutoGen\n, • Experience designing and deploying production AI applications.\n, • Familiarity with CI/CD pipelines, Git, and modern software development practices\n, • Experience with containerization and cloud platforms, including Docker, Kubernetes, AWS, Azure, or Google Cloud Platform\n, • Understanding of LLM evaluation, monitoring, and observability.\n, • Experience training or fine-tuning models is a plus.\n\n \n Education \n\n • Bachelor's degree in Computer Science or a related technical discipline, or equivalent practical experience.\n\n \n What We're Looking For Successful candidates will demonstrate: \n\n • A product mindset with the ability to balance speed and quality\n, • Comfort owning complex technical challenges with minimal direction\n, • Excellent collaboration and communication skills.\n, • A desire to make a significant impact as part of a small, high-performing team\n\n \n Pluses We're especially interested in candidates who have: \n\n • Built and shipped production AI applications\n, • Worked at high-growth startups\n, • Experience across both backend and frontend development.\n, • A track record of driving technical initiatives and mentoring other engineers\n\n \n Why Join Dioptra? \n\n • Work directly with the founders behind one of the industry's leading AI contract platforms\n, • Build state-of-the-art AI agent technology used by enterprise customers\n, • Own meaningful technical decisions and influence product direction.\n, • Join a small, highly collaborative team with significant autonomy.\n, • Help shape the future of enterprise AI and contract intelligence.\n\n \n