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MassMutual’s AI Platform Engineering team is seeking an impact-driven Engineering professional to lead and grow the team that builds the infrastructure powering AI development across the company. You will own the people leadership, hiring, and day-to-day execution of the AI Platform team, partnering closely with technical leadership to translate roadmap priorities into delivery while building a high-performing, high-trust engineering culture. This is a unique opportunity to lead a team at the center of how MassMutual builds and operates the platform powering its AI initiatives. The team operates at the intersection of cloud infrastructure, AI/ML systems, and developer experience—delivering foundational capabilities that shape how the entire organization builds and deploys AI. As the engineering director, you will partner closely with the AI engineering, product, and cloud engineering teams across the enterprise, and you will invest in your team’s growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to engineering excellence, clear documentation, and the kind of people leadership that helps engineers do their best work. • Own the people leadership of the AI Platform development team—hiring, onboarding, performance management, and career development—for a team of AI platform engineers., • Drive execution against the AI platform roadmap—partner with key stakeholders to break strategic priorities into achievable sprints and milestones and hold the team accountable to delivery., • Stay technical enough to lead—participate in architecture discussions and design reviews for systems like agent runtime infrastructure, tool/plugin registries, memory and context management layers, and agent observability pipelines, even when you're not writing production code day to day., • Champion engineering excellence: set and uphold standards for code quality, reliability, on-call practices, and operational maturity across the platform., • Manage up and out: provide clear, honest reporting on team progress, risks, and resourcing needs, and communicate technical trade-offs to senior stakeholders., • Be the primary advocate for your team’s wellbeing and growth—removing blockers, building a high-trust culture, and raising the team’s technical craft through design reviews and documentation habits., • 3+ years of experience as a people manager of software, platform, or infrastructure engineers, plus 5+ years of overall software engineering experience., • Demonstrated track record of hiring, coaching, and retaining strong engineers, with experience leading teams through ambiguous, fast-moving priorities., • Working knowledge of cloud-native architecture: Kubernetes, managed cloud services, networking, and multi-tenancy patterns across AWS, GCP, or Azure, sufficient to engage credibly in technical discussions., • Proven ability to lead a team through complex, multi-month platform initiatives—driven from whiteboard to production, managing ambiguity and risk throughout., • Exposure to AI/ML infrastructure: model serving, inference pipelines, agentic solution or LLM integration patterns., • Experience setting and upholding engineering standards (code quality, on-call practices, operational excellence) across a team., • Strong communication skills: able to translate between technical depth and business priorities for different audiences, with clear written documentation habits., • Bachelors degree in a computer science, engineering or similar discipline., • Must be able to work in the US without sponsorship now or in the future., • Experience leading a team that built an internal developer platform (IDP) from scratch, with a product mindset that obsesses over internal developer experience., • Familiarity with AI safety, model evaluation, and governance frameworks., • Ability to lead with both people and technical credibility—influencing design decisions, driving alignment, and raising quality bar across the team., • Open-source contributions to platform or ML infrastructure tooling., • Comfort with ambiguity: energized by undefined problem spaces, with a habit of building clarity and shared context where there isn’t any., • Advanced educational degree preferred., • Regular meetings with the AI Platform Engineering team, • Focused one-on-one meetings with your manager, • Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups, • Access to learning content on Degreed and other informational platforms, • Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits #LI-MC1 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our _ page.

Senior Fidessa Developer – Cash Equities Trading Technology \n Company Overview: \n Business Integration Partners (BIP) is Europe’s fastest growing digital consulting company and are on track to reach the Top 20 by 2030, with an expanding global footprint in the US (New York, Charlotte, Chicago, and Houston). Operating at the intersection of business and technology, we design, develop, and deliver sustainable solutions at pace and scale, creating greater value for our customers, employees, shareholders, and society. \n BIP specializes in high-impact consulting services across multiple industries with 6,000 employees worldwide. Our Financial Services business serves Capital Markets, Insurance and Payments verticals, supplemented with Data & AI, Cybersecurity, Risk & Compliance, Change Management and Digital Transformation practices. We integrate deep industry expertise with business, technology, and quantitative disciplines to deliver high-impact results for our clients. \n BIP is currently expanding its footprint in the United States, focusing on growing its Capital Markets and Financial Services lines. Our teams operate at the intersection of business strategy, technology, and data to help our clients drive smarter decisions, reduce risks, and stay ahead in a fast-evolving market environment. \n \n About the Role \n We are seeking an experienced Senior Fidessa Developer to join an Equities Cash Technology organization supporting institutional and retail equities trading businesses. \n This is a hands-on engineering role focused on the development, enhancement, integration, upgrade, and production support of multiple trading applications built on the Fidessa trading platform. \n The successful candidate must have strong hands-on experience with Fidessa server-side development, deep knowledge of Fidessa architecture and OMS components, and experience delivering product upgrades involving complex client-specific customizations. \n The role requires close partnership with Trading, Business Analysts, Product Managers, Production Support, Infrastructure, and other Engineering teams to deliver reliable, scalable, and compliant electronic trading solutions. \n The strongest candidates will bring deep experience across CASE, FBL, TOP, OMAR, TMAR, PMAC, FIX connectivity, Fidessa upgrades, and Cash Equities trading workflows. \n \n Key Responsibilities \n\n • Design, develop, enhance, and support server-side applications built on the Fidessa trading platform.\n, • Develop and maintain Fidessa solutions using CASE, FBL, and TOP.\n, • Work extensively with Fidessa OMS components including OMAR, TMAR, and PMAC.\n, • Support multiple production Fidessa trading systems used by institutional and retail Equities businesses.\n, • Integrate Fidessa applications with exchanges, brokers, internal trading systems, market-data platforms, risk systems, and downstream post-trade applications.\n, • Develop and support FIX connectivity, including order routing, execution reporting, message validation, troubleshooting, and external counterparty connectivity.\n, • Perform Fidessa product upgrades and manage the impact of upgrades on existing client-specific customizations.\n, • Analyze existing Fidessa customizations and determine remediation or redevelopment requirements during product upgrades.\n, • Support Cash Equities trading workflows including order capture, validation, routing, execution, allocations, and post-trade processing.\n, • Troubleshoot complex production issues across Fidessa applications, databases, messaging layers, integrations, and infrastructure.\n, • Develop and maintain interfaces using Fidessa products including PAIRS, NMS, FIX+, APAS, and FDA.\n, • Partner with Business Analysts, Product Managers, Trading teams, and technology stakeholders to translate business and regulatory requirements into technical solutions.\n, • Support regulatory and business-driven changes affecting equities trading workflows.\n, • Develop utilities, automation, and integration components using TCL, Python, Unix Shell, and/or PowerShell.\n, • Work with relational databases including Sybase and Microsoft SQL Server for application support, troubleshooting, and data analysis.\n, • Support distributed and event-driven application architectures using messaging platforms such as AMPS, IBM MQ, and Tibco EMS.\n, • Participate in application design, code reviews, testing, deployment, and production-readiness activities.\n, • Develop and maintain automated testing frameworks supporting Fidessa releases and upgrades.\n, • Onboard Fidessa applications and deployment processes into modern DevOps and CI/CD pipelines.\n, • Partner with infrastructure and platform teams to improve application resiliency, monitoring, deployment automation, and operational supportability.\n, • Use modern AI-assisted development tools where appropriate to support coding, testing, debugging, documentation, and technical analysis.\n\n \n Required Qualifications \n\n • 7+ years of Core Java development experience.\n, • 3+ years of hands-on Fidessa server-side development experience.\n, • Strong hands-on experience with Fidessa CASE, FBL, and TOP.\n, • Strong knowledge of Fidessa OMS architecture, including OMAR, TMAR, and PMAC.\n, • Demonstrated experience supporting or developing production Fidessa trading platforms.\n, • Hands-on experience with FIX protocol, including order flows, executions, session management, connectivity, and troubleshooting.\n, • Proven experience performing Fidessa product upgrades involving client-specific or onsite customizations.\n, • Strong understanding of Cash Equities / Global Markets trading workflows.\n, • Experience with Order Management Systems and post-trade processing.\n, • Experience with Fidessa products such as PAIRS, NMS, FIX+, APAS, and FDA.\n, • Strong understanding of distributed systems, event-driven architectures, messaging, and application integration.\n, • Experience with Windows and Linux environments.\n, • Scripting experience using TCL, Python, Unix Shell, or PowerShell.\n, • Experience with Sybase and/or Microsoft SQL Server.\n, • Experience with messaging technologies such as AMPS, IBM MQ, or Tibco EMS.\n, • Experience with Agile software development methodologies.\n, • Experience with automated testing, DevOps, and CI/CD pipelines.\n, • Strong troubleshooting and production-support skills.\n, • Strong communication skills and the ability to work effectively with Trading, Product, Business, and Technology stakeholders. \n\n \n Preferred Qualifications \n\n • Strong hands-on experience with Fidessa FDA.\n, • Hands-on FTW development or implementation experience.\n, • Significant Sybase experience.\n, • Experience modernizing or integrating legacy Fidessa platforms with modern enterprise technology stacks.\n, • Experience supporting high-volume institutional Cash Equities trading platforms.\n, • Experience working directly with Equity Traders, Sales Traders, Electronic Trading teams, or Global Markets stakeholders.\n, • Experience with production monitoring, observability, and application-performance tooling.\n, • Familiarity with AI-assisted software development tools.\n\n \n Compensation: \n The base salary range for this role is $150,000 - $185,000 \n Benefits: \n\n • Choice of medical, dental, vision insurance.\n, • Voluntary benefits.\n, • Short- and long-term disability.\n, • HSA and FSAs.\n, • Matching 401k.\n, • Discretionary performance bonus.\n, • Employee referral bonus.\n, • Employee assistance program.\n, • 11 public holidays.\n, • 20 days PTO.\n, • 7 Sick Days.\n, • PTO buy and sell program.\n, • Volunteer days.\n, • Paid parental leave.\n, • Remote/hybrid work environment support.\n\n For more information about BIP US, visit https://www.bip-group.com/en-us/. \n Equal Employment Opportunity: \n It is BIP US Consulting policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship, or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. \n Job Location : Senior AEM Developer \n Job Location: New York City, NY \n In this role, you will be responsible for designing, developing, and maintaining robust backend solutions within the Adobe Experience Manager platform. You will collaborate with cross-functional teams to deliver scalable and high-performance web applications that enhance our customer experience. The ideal candidate will have held a similar role in an agency or corporate marketing organization, be a self-starter able to work independently, and comfortable with rapid change and managing and prioritizing their tasks to defined deadlines. \n Key Responsibilities \n Develop and maintain AEM components, templates, and services using Java and Sling. \n Implement and manage workflows, JCR queries, and integrations with external systems (RESTful APIs, databases, etc.). \n Customize and extend AEM functionalities to meet business requirements. \n Collaborate with frontend developers, architects, and QA teams to deliver high-quality solutions. \n Optimize performance and scalability of AEM applications. \n Ensure code quality through unit testing, code reviews, and adherence to best practices. \n Support deployment activities, troubleshoot and resolve bugs and performance issues in both production and development environments. \n Stay updated with AEM and Adobe Cloud innovations and recommend improvements. \n Required Qualifications \n 5+ years of experience as an AEM Developer including developing using the AEM 6.5 platform and related technologies \n Expertise in AEM stack, including AEM Modules, Granite, Sling, OSGi, and JCR. \n Strong Java development experience, with hands-on expertise in JDK 1.8 or higher. \n Hands-on experience developing AEM templates, components, and workflows as well as integrating AEM with third-party systems and APIs. \n Experience in integrating AEM with AWS services like DynamoDB, S3 \n Familiarity with Agile methodologies and best practices in software development. \n Working knowledge and experience with CI/CD tools like GIT, Jenkins, SonarQube, Veracode etc. \n Bachelor's degree in computer science, Engineering, or related field. \n Preferred Qualifications: \n Understanding of and experience working on AWS cloud platform and associated services is a plus \n Familiarity with modern JavaScript frameworks or libraries (e.g., Angular, React, Vue.js) is desired but not mandatory. \n Familiarity with digital marketing principles and best practices is a plus. \n Ability to collaborate effectively in a cross-functional team environment including offshore development teams. \n Experience with agile methodology a plus \n The base compensation range for this role in the posted location is 100000 - 130000 \n Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. \n The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. \n These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. \n It is not typical for candidates to be hired at or near the top of the posted compensation range. \n In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. \n \n Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: \n\n • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave\n, • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)\n, • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)\n, • Life and disability insurance\n, • Employee assistance programs\n, • Other benefits as provided by local policy and eligibility\n\n Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. \n \n Disclaimers \n Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. \n This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. \n Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. \n Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law \n \n Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Design, build, configure, train, and test conversational AI agents using. Develop conversational flows, intents, route groups, state handling, fulfillment services, and LLM-powered agent capabilities. AI agents or intelligent automation solutions.

Company Overview: \n Business Integration Partners (BIP) is Europe’s fastest growing digital consulting company and are on track to reach the Top 20 by 2030, with an expanding global footprint in the US (New York, Charlotte, Chicago, and Houston). Operating at the intersection of business and technology, we design, develop, and deliver sustainable solutions at pace and scale, creating greater value for our customers, employees, shareholders, and society. \n \n BIP specializes in high-impact consulting services across multiple industries with 6,000 employees worldwide. Our Financial Services business serves Capital Markets, Insurance and Payments verticals, supplemented with Data & AI, Cybersecurity, Risk & Compliance, Change Management and Digital Transformation practices. We integrate deep industry expertise with business, technology, and quantitative disciplines to deliver high-impact results for our clients. \n BIP is currently expanding its footprint in the United States, focusing on growing its Capital Markets and Financial Services lines. Our teams operate at the intersection of business strategy, technology, and data to help our clients drive smarter decisions, reduce risks, and stay ahead in a fast-evolving market environment. \n \n About the Role \n We are seeking a senior Market Risk Production Manager to lead the stability, reliability, and continuous improvement of a critical global Market Risk technology platform. \n This individual will serve as the primary interface between Market Risk business users and Technology, ensuring that the platform remains highly available, predictable, scalable, and responsive to business needs across APAC, EMEA, and North America. \n The role requires a hands-on technical leader who can quickly understand complex application environments, diagnose production issues, coordinate resolution across multiple technology teams, and communicate effectively with senior business stakeholders. \n The role requires sufficient technical depth to review code, understand architecture, analyze logs and database behavior, challenge technical solutions, and provide credible direction to experienced engineers. \n The individual will balance immediate production priorities and incident resolution with longer-term initiatives designed to improve platform resilience, performance, observability, and operational stability. \n \n Key Responsibilities \n Platform Stability & Production Management \n\n • Own the day-to-day stability, reliability, and operational performance of a business-critical Market Risk platform.\n, • Lead production support activities across globally distributed business and technology teams.\n, • Act as a senior escalation point for high-priority production incidents and service disruptions.\n, • Drive incident triage, troubleshooting, root cause analysis, remediation, and follow-up actions.\n, • Analyze recurring incidents and systemic issues to identify opportunities for permanent resolution.\n, • Improve platform predictability, resiliency, monitoring, capacity, and operational performance.\n, • Balance immediate production priorities with strategic platform-stability initiatives.\n, • Ensure appropriate operational controls, monitoring, escalation processes, and support procedures are in place.\n\n Business Partnership & Stakeholder Management \n\n • Serve as the primary Technology partner for Market Risk and Global Markets users.\n, • Build strong relationships with risk managers, pricing teams, senior business stakeholders, and technology leaders.\n, • Understand business workflows, operational pain points, priorities, and platform dependencies.\n, • Translate business concerns into actionable technology improvements.\n, • Communicate platform incidents, impacts, remediation plans, risks, and enhancement priorities clearly to senior stakeholders.\n, • Gather user feedback and help ensure that the platform provides a reliable and effective business experience.\n, • Establish confidence with business stakeholders during both normal operations and high-pressure production incidents.\n\n Technical Leadership \n\n • Develop a deep understanding of the platform architecture, technology stack, data flows, applications, infrastructure dependencies, and integrations.\n, • Review application designs and technical architecture to identify stability, scalability, and performance risks.\n, • Analyze application logs, monitoring data, database behavior, and system performance during production issues.\n, • Read and evaluate application code when necessary to support troubleshooting and technical discussions.\n, • Guide engineering teams through complex production investigations and solution design.\n, • Lead technical discussions involving platform resilience, scalability, performance, observability, and modernization.\n, • Partner with engineering and architecture teams on platform enhancements and strategic technology initiatives.\n, • Ensure tactical production fixes align with longer-term architectural objectives wherever possible.\n\n Operational & Team Leadership \n\n • Work closely with senior engineers, platform SMEs, application support teams, infrastructure teams, database teams, and business stakeholders.\n, • Provide technical direction without necessarily serving as a daily hands-on developer.\n, • Coordinate issue resolution across multiple technology disciplines and geographic regions.\n, • Contribute to the roadmap for platform stability, modernization, and operational excellence.\n, • Help establish standards and best practices for production support, incident management, root cause analysis, monitoring, and service improvement.\n\n \n Required Qualifications \n\n • 10+ years of technology experience, preferably within Financial Services, Capital Markets, or Risk Technology.\n, • Experience supporting, managing, or building complex risk-management technology platforms.\n, • Strong background in Production Management, Application Support, Platform Engineering, Site Reliability Engineering, or Application Management.\n, • Demonstrated experience supporting highly visible, business-critical production environments.\n, • Proven ability to lead complex production incidents and coordinate resolution across multiple technical teams.\n, • Strong technical troubleshooting and root cause analysis capabilities.\n, • Ability to work effectively with senior business users and technology stakeholders.\n, • Experience operating within globally distributed technology environments.\n\n \n Technical Expertise \n Strong working understanding of: \n Databases \n\n • Relational database architecture\n, • IBM relational database technologies\n, • Sybase\n, • SQL\n, • Query behavior and performance\n, • Database and application bottlenecks\n, • Production diagnostics and troubleshooting\n\n The candidate does not need to be a Database Administrator but must be sufficiently knowledgeable to identify database-related performance or production issues and engage effectively with database specialists. \n \n Middleware & Application Technologies \n\n • Java-based enterprise applications\n, • Python-based services and applications\n, • Distributed systems and application integration\n, • Quartz experience is strongly preferred\n, • Enterprise application architectures\n\n User Interface Technologies \n\n • React\n, • JavaScript\n, • Legacy Java UI frameworks\n\n Production Support & Troubleshooting Skills \n\n • Reading and evaluating application code.\n, • Reviewing application architecture and technical designs.\n, • Analyzing logs, alerts, monitoring data, and system metrics.\n, • Investigating application, database, middleware, and infrastructure issues.\n, • Diagnosing platform performance problems and bottlenecks.\n, • Performing root cause analysis.\n, • Coordinating technical resolution across engineering, infrastructure, database, and support teams.\n, • Evaluating whether proposed technical solutions adequately address underlying production issues.\n\n \n Market Risk Domain Knowledge \n\n • Strong understanding of Market Risk or broader Risk Management technology environments.\n, • Familiarity with Market Risk terminology, workflows, systems, and business processes.\n, • Understanding of how risk-management platforms are consumed by business users.\n, • Ability to communicate credibly with Market Risk managers, Global Markets users, pricing teams, and technology stakeholders.\n, • Understanding of how data and technology support risk calculation and reporting processes.\n\n Deep quantitative expertise or the ability to independently perform Market Risk calculations is not required. \n \n Compensation: \n The base salary range for this role is $160,000 - $185,000 \n Benefits: \n\n • Choice of medical, dental, vision insurance.\n, • Voluntary benefits.\n, • Short- and long-term disability.\n, • HSA and FSAs.\n, • Matching 401k.\n, • Discretionary performance bonus.\n, • Employee referral bonus.\n, • Employee assistance program.\n, • 11 public holidays.\n, • 20 days PTO.\n, • 7 Sick Days.\n, • PTO buy and sell program.\n, • Volunteer days.\n, • Paid parental leave.\n, • Remote/hybrid work environment support.\n\n \n For more information about BIP US, visit https://www.bip-group.com/en-us/. \n \n Equal Employment Opportunity: \n \n It is BIP US Consulting policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship, or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds. \n \n BIP US provides a reasonable range of compensation for our roles. Actual compensation is influenced by a wide array of factors including but not limited to skill set, education, level of experience, and knowledge. \n

Job DescriptionAbout the Company \nOur client is an applied AI company rebuilding how civil, structural, and MEP engineering firms do their work. Their thesis is blunt: most of what a practicing engineer does today is theoretically automatable, and almost none of it has been touched by AI. The company is venture backed, the team is small, and the foundational technical decisions are still being made. This is their highest-priority engineering hire.\n\nThe Opportunity \nEvery engineering firm that joins the platform arrives with its own systems, identities, data sources, and workflows. Your job is to turn that variety into shared software, so the fifth firm comes online in days instead of the weeks the first one took. You will own the technical substrate everything runs on: the platform architecture, the backend services, the path from commit to production, and the operating practices that keep it reliable as the company scales.\n\nYou will work directly with the CTO and hold real influence over architecture and engineering practice from day one. This is a backend engineering role that includes infrastructure ownership. This role is not a DevOps or SRE seat, and it is not an architecture-only position. You will write production code.\n\nBecause collaboration is key to their culture, this role is 5 days a week in their NYC office.\n\nWhat You'll Own \n\n Platform architecture: design and evolve the shared platform across forward-deployed teams and partner firms, including tenant isolation, identity, permissions, integrations, APIs, and data flows.\n Production software: write and review backend and platform code across services, internal tools, integrations, and the infrastructure surrounding them.\n Delivery and developer experience: own the path from commit to production, including CI/CD, preview environments, testing infrastructure, local development, and repeatable release workflows.\n Distributed systems and reliability: define service boundaries, failure modes, observability, incident response, and reusable patterns that make every new firm easier to onboard.\n Technical direction: make pragmatic build-versus-buy decisions, establish engineering standards, and improve systems while the company is actively operating and growing.\n Bespoke-to-platform leverage: identify which customer-specific solutions should become shared capabilities and prevent the platform from turning into disconnected consulting work.\n Cross-functional execution: work directly with the CTO, forward-deployed engineers, and domain experts; troubleshoot production issues, unblock implementations, and occasionally travel when needed.\n\n\nWhat We're Looking For \n\n At least 5 years of professional software engineering experience, with meaningful ownership of production systems. Actual level will be based on scope and judgment, not title alone.\n Strong software engineering fundamentals and the ability to reason about architecture, distributed systems, APIs, data flows, security, reliability, and operational tradeoffs.\n Experience operating systems in production and judgment shaped by real incidents, scale constraints, imperfect information, and competing business needs.\n A record of broad ownership in an earlier-stage or high-growth company, ideally Series B/C or earlier. Founding, first-platform-hire, or Staff-level scope is especially relevant.\n The ability to move between architecture and implementation: define the approach, write the code, debug the system, and improve the engineering practice around it.\n High communication ability and EQ. You explain tradeoffs clearly, ask good questions, receive feedback without ego, and build trust across technical and nontechnical teams.\n Comfort working on-site in New York City five days per week in a small, high-accountability environment.\n\n\nRelevant Experience \nHelpful backgrounds include internal developer platforms, multitenant products, enterprise integrations, identity and access management, observability, applied AI, distributed backend systems, or customer-facing engineering.\n\nStrong technical judgment, systems thinking, and evidence of ownership matter more than experience with every tool in the current stack.\n\nWhat This Role Is Not \n\n It is not primarily Kubernetes, Terraform, CI/CD, or cloud administration.\n It is not a ticket-based operations role focused only on keeping existing infrastructure running.\n It is not an architecture-only position; the person in this seat will remain hands-on and write production code.\n Kubernetes expertise, prior M&A integration experience, AEC industry experience, and exact stack match are not required.\n\n\nTechnology \nThe current stack includes React and Next.js on the frontend, Kotlin for core backend services, Python for data and AI services, and multitenant infrastructure on AWS. These technologies are not key as judgment and ownership matter more than exact stack match.\n\nHow the Team Works \nThe team values people who are humble, hungry, and smart: low ego, intellectually honest, strong in judgment and communication, and motivated by ownership. The pace is urgent and accountability is high, but the culture is not built around extreme or unsustainable hours.\n\nCompensation and Benefits \n\n Expected base salary of $200,000-$300,000, depending on experience and scope.\n Profit-interest equity participation with dilution protection.\n Full healthcare benefits.\n Direct access to the CTO and significant influence over platform architecture and engineering practices from an early stage.\n\n

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.

Business Systems Engineer \n Dumbo, Brooklyn, NY (in-office, 5 days/week) \n $100,000 - $175,000 base + bonus \n \n Our client is a fast-growing energy infrastructure company building and operating projects across dense urban markets. As the business scales from tens to hundreds of active projects, the corporate technology function is still coming together, and this hire will be foundational to it. \n You'll step into a company where internal systems have grown organically and now need a real owner. Salesforce, a construction management platform (Kahua), and an ERP implementation (NetSuite) all need to talk to each other cleanly. Data lives in too many places right now, and the mandate is to consolidate it, clean it up, and build the source-of-truth database that the rest of the company can trust. \n \n What you'll actually be doing \n\n • Design and build a source-of-truth database for all active projects from the ground up\n, • Take ownership of the existing Salesforce and Kahua deployments, and keep improving them\n, • Serve as the internal technical lead on the ERP buildout, working alongside a third-party implementation partner\n, • Build integrations across these systems using low-code tools or custom scripting so data stays consistent\n, • Partner directly with development, construction, operations, and finance to translate how the business actually runs into scalable data models and processes\n, • Start identifying where AI can cut out routine work, ahead of a broader company AI strategy\n\n \n What they're looking for \n\n • 4+ years working hands-on with business-critical platforms: Salesforce, an ERP, or comparable low-code systems\n, • 2+ years owning a business system end to end: roadmap, stakeholder communication, design calls, day-to-day operation\n, • Real Salesforce admin/dev experience (this isn't a pure Salesforce engineering seat, but you need to be fluent)\n, • Experience designing relational data models from scratch and shipping them to production\n, • Python for scripting and integrations\n, • Comfort building integrations across APIs, webhooks, ETL/ELT, or iPaaS tools\n, • A process mind that thinks about scale and edge cases by default, not after the fact\n\n \n Bonus points for ERP implementation experience with a third-party firm, hands-on AI/LLM work inside business systems, exposure to construction management platforms, or a background in energy, real estate development, or another asset-heavy industry. \n \n Why this role \n This is a build-from-scratch opportunity with a clear growth path. The team is intentionally hiring someone who isn't necessarily a career developer, someone eager to learn who can grow into specializing and eventually leading a broader business systems function as the company adds headcount underneath them. Get this right and there's a real path to Director of Business Systems. \n \n Comp & benefits \n\n • Base: $100,000 - $175,000, based on experience\n, • Annual performance bonus\n, • Health, dental, vision\n, • 401(k) with 3% match\n, • LifeTime Fitness membership\n, • Monthly commuter stipend\n, • Learning and education stipend\n, • Flexible PTO\n\n

Electrician - Commercial This Jobot Job is hosted by: Cody Timm Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $30 - $38 per hour A bit about us: Our client is a well-established Real Estate Developer and Manufacturing company based in Pittsburgh, PA. Why join us? • Competitive pay, • Great employee health insurance options, • 401k matching, • PTO and paid-holidays off, • Opportunities for growth and promotions Job Details Responsibilities: As a Permanent Electrician, you will be tasked with a variety of responsibilities that are crucial to the success of our construction projects. Your duties will include: 1. Installing, maintaining, and repairing electrical systems in accordance with NEC, IRC, and IBC standards., 2. Conducting regular electrical inspections to ensure all systems are operating safely and efficiently., 3. Supervising and providing leadership to junior electrical staff, including training and mentoring., 4. Ensuring all work complies with OSHA safety standards and LOTO procedures., 5. Working closely with other construction professionals to ensure electrical work is completed on time and within budget., 6. Troubleshooting and resolving electrical issues in both manufacturing and residential settings., 7. Performing regular maintenance on service panels and other electrical components. Qualifications: To be considered for the Electrician role, candidates must meet the following qualifications: 1. A minimum of 5 years of experience as a Journeyman Electrician., 2. Proven experience in manufacturing, commercial/industrial/residential, and electrical construction., 3. Extensive knowledge of electrical systems, service panels, NEC, IRC, IBC, and electrical inspections., 4. Demonstrated ability to supervise and provide leadership to a team., 5. Experience in training staff in electrical procedures and safety., 6. Familiarity with OSHA safety standards and LOTO procedures. 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

Revenue Cycle Analyst (Tableau) - 100% Remote / Fortune 500 / Great Benefits This Jobot Job is hosted by: Joseph Sipocz Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $70,000 - $90,000 per year A bit about us: This is a national multi-billion dollar healthcare organizations with an AMAZING culture. This department is responsible for all of the generation, billing, and follow-up of claims for company's patients to their insurance providers. Their mission is to ensure that every claim gets on file timely and accurately. To do so, they've continued to evolve the billing landscape over the years through operations excellence and transformation. As an Analyst on this team, you will join a dynamic, growing team at the center of the revenue cycle, and help them continue to drive operations and strategy through data management, project management, a deep understanding of how challenging our revenue cycle can be, and an eye for the future in helping them continue to transform billing. Get ready to take your career to the next level with our exciting opportunity! We are in search of a dynamic and experienced Tableau Developer to join our team on a full-time, permanent basis. This is a 100% remote position, offering you the chance to work from the comfort of your home while making a significant impact in the finance industry. Why join us? • Top benefits, • 401K / match, • Strong Bonus, • Great compensation package, • Great time off package, • The best Work life balance, • 100% remote Job Details Responsibilities: As a Tableau Developer, you will be responsible for the following: 1. Translating existing recurring reports into innovative and insightful Tableau Dashboard visualizations., 2. Developing and designing new Tableau dashboards as requested by revenue operations partners to address key business challenges., 3. Meeting with stakeholders to ensure developed dashboards are meeting the business needs and expectations., 4. Utilizing your SQL/ETL experience to manage data extraction, transformation, and loading tasks., 5. Collaborating with cross-functional teams to develop solutions that optimize the use of data and analytics., 6. Maintaining and supporting data analytics platforms while ensuring performance, security, and availability., 7. Training and supporting end-users to maximize the value of the implemented dashboards and tools. Qualifications: To be considered for this role, you should have: 1. A minimum of 5+ years of experience as a Tableau Developer or in a similar role., 2. Proficiency in SQL and ETL tools for managing and manipulating data., 3. Strong experience in developing, maintaining, and managing Tableau driven dashboards & analytics and working knowledge of Tableau administration/architecture., 4. Excellent understanding of the business operations in the finance industry., 5. Proven ability to translate business problems into actionable Tableau-driven solutions., 6. Exceptional problem-solving skills and attention to detail., 7. Excellent communication skills, with the ability to effectively liaise with stakeholders at all levels., 8. Bachelor's degree in Computer Science, Information Systems, or a related field. If you are passionate about data visualization, possess a problem-solving attitude, and are ready to drive change within our organization, we would love to hear from you. Apply now and start your journey with us! 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

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.

Location: Manhattan, Financial District \n Hybrid: 4 days in-office, 1 day remote \n Base Salary: $100,000–$120,000 + uncapped commission and team performance incentives \n \n At Harnham, we’ve been specialists in Data & AI recruitment for nearly two decades, building a global reputation in one of the world’s fastest-growing industries. \n \n Our New York office has an established Contract Recruitment team, and we’re now looking for an experienced recruitment leader to take ownership of the function and help drive its next phase of growth. \n \n This is a hands-on, player-coach leadership role. You’ll lead and develop an established team of recruiters while remaining commercially active yourself, particularly across business development, senior client relationships and key accounts. \n \n The Opportunity \n \n You’ll take responsibility for a 10-person Contract Recruitment team, working closely with Kirsty, our New York Director, to drive performance, develop our people and grow our presence across the U.S. Data & AI market. \n \n You’ll be expected to lead from the front. While people leadership will be a major part of the role, you’ll also remain close to the market, building relationships with senior clients, identifying new opportunities and contributing directly to revenue generation. \n \n This is an opportunity to inherit an established team and make a meaningful impact on its continued growth, both commercially and from a people perspective. \n \n What You’ll Be Doing \n \n\n • Leading, coaching and developing an established team of Contract recruiters\n, • Driving new business development and building senior-level client relationships\n, • Growing existing accounts and identifying new commercial opportunities\n, • Remaining personally involved in recruitment, with a particular focus on the client side\n, • Setting clear performance expectations and driving accountability across the team\n, • Running structured 1:1s, pipeline reviews and development conversations\n, • Supporting recruiters at different levels to improve their commercial performance and progress their careers\n, • Working closely with our New York Director on team strategy, headcount and market growth\n\n \n Why Harnham? \n \n Established Market Position – Join a globally recognised specialist recruitment business with nearly two decades of experience across Data & AI. \n Earning Potential – Competitive base salary, uncapped personal commission and additional team performance-based incentives. \n Leadership Impact – Take ownership of an established team and play a central role in shaping the future of our Contract business in New York. \n Career Progression – Join at Senior Manager or Associate Vice President level depending on experience, with the opportunity to continue progressing within our U.S. leadership structure. \n Learning & Development – Access dedicated leadership development, coaching and support from an experienced global recruitment business. \n Collaborative Culture – Work closely with senior leadership while having the autonomy to lead your team and build on an established market. \n \n Who We’re Looking For \n \n\n • An experienced agency recruiter with a strong track record in Contract recruitment\n, • Proven experience managing and developing recruitment teams\n, • Someone who has remained commercially active alongside their leadership responsibilities\n, • A strong business developer who is comfortable winning new clients and growing strategic accounts\n, • Experience recruiting within Data, AI, Technology or another specialist technical market\n, • A confident people leader who can coach both experienced recruiters and developing consultants\n, • Someone who thrives in a commercial, fast-paced environment and is motivated by building high-performing teams\n\n \n If you’re an experienced recruitment leader looking to take ownership of an established Contract team while remaining hands-on commercially, we’d love to hear from you. \n \n Apply now or get in touch for a confidential conversation.

About Us \n Machines will make decisions, move value, and coordinate on behalf of organizations, instantly, autonomously, and at unprecedented scale. But the systems that govern today’s economy weren’t designed for that world. Turnkey is building the infrastructure for this future: programmable guardrails that enable autonomy without sacrificing control. \n \n Founded by the team that scaled Coinbase Custody to $100M+ in ARR and secured more than $100B in crypto assets, we’ve built the systems trusted to move and protect billions in value. \n \n Our mission is to help the world operate an economy on autopilot, safely.We're low-ego, high-agency, and deeply technical. Our team consists of experts in cryptography, security, and systems who believe great infrastructure is invisible. We're building the trustless, programmable foundation for the autonomous economy, and we're hiring people who understand what that requires. \n \n What You’ll Do \n\n • Build and refine targeted outbound strategies into high value verticals.\n, • Research prospects deeply and craft messages that speak to their roadmap, pain points, and potential crypto strategy.\n, • Events: regular participation in local (and international) industry events, meetups, and conferences as a core part of pipeline generation\n, • Create and manage early stage pipelines in Attio and support weekly pipeline reviews with the revenue team.\n, • Outbound-driven role: proactively sourcing and prospecting into target accounts rather than working an inbound queue. You'll run first-touch discovery on self-generated pipeline, qualify prospects against our ICP, and hand off high-quality, well-prepped opportunities to AEs\n, • Collaborate with product, GTM team , and marketing to shape messaging, personas, and outbound campaigns.\n, • Bring structured feedback from customers and the market to GTM leadership.\n, • Constantly experiment, iterate, and help build the playbook for outbound at Turnkey.\n, • Go above and beyond to fuel our GTM engine.\n\n \n What We’re Looking For \n\n • 1 to 3 years in BDR, SDR, or similar outbound roles (startup or fintech/crypto experience is a plus, but not required).\n, • Strong written communication: crisp, thoughtful outreach that feels personalized and strategic.\n, • High curiosity for crypto, payments, fintech, or developer products.\n, • Ability to simplify complex technical concepts and tell a clear story.\n, • Competitive, motivated resilient, and hungry to build something new\n, • Comfortable working directly with founders, senior leaders, and enterprise stakeholders.\n, • Bias for action: you move fast, ask smart questions, and figure things out.\n\n \n Why Join Us \n\n • Work with a world class founding team with deep domain expertise.\n, • Direct line to leadership: your work directly shapes our pipeline and revenue engine.\n, • Massive market: Turnkey sits at the intersection of fintech, payments, AI, and global commerce.\n, • Real ownership and upward mobility: early BDRs have the opportunity to touch many parts of the business and through high performance, can grow into AEs, partnerships, or strategic roles as the team scales.\n, • Highly collaborative, fast moving environment built for people who want to win.\n\n \n What We Offer \n\n • Full benefits, including medical, dental, vision, life, disability, HSA/FSA, 401(k)\n, • Paid parental leave\n, • Unlimited PTO\n, • $3,000/yr learning and development budget for conferences and education\n, • Multiple team offsites per year\n, • Lunch stipend\n\n \n Turnkey is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by law. We encourage individuals of all backgrounds to apply.

Software Guidance & Assistance, Inc., (SGA), is searching for a Sr. Java Developer (Java/Spring/AWS) for a contract assignment with one of our premier Financial Services clients in New York, NY.\n \n Responsibilities :\n \n \n\n • Design, build, configure, and improve applications, databases, test automation, and DevOps processes.\n, • Analyze business and technical requirements and turn them into scalable, maintainable solutions.\n, • Follow approved SDLC/PDLC methods and write thorough design documentation.\n, • Write secure code and perform unit, integration, and functional testing.\n, • Review peers' code against engineering standards and design patterns.\n, • Partner with product teams, help drive adoption, and solve complex technical issues.\n, • Provide on-call support, troubleshoot incidents, perform root cause analysis, and handle service requests.\n, • Work independently as a senior technical expert and communicate clearly with stakeholders. \n Required Skills:\n \n \n\n • Core requirements\n \n, • 10 + years of experience working with Java (Currently using 8+) in an highly regulated industry\n, • Spring Boot, Spring MVC, Spring Integration, and Spring Security.\n, • REST APIs and JSON.\n, • Strong skills in Python, TypeScript, JavaScript, SQL and Shell Scripting\n, • Secure coding and application security.\n, • Unit, integration, and functional testing, Software design, debugging, and peer review.\n, • Strong AWS experience\n, • WebSphere Application Server or Liberty and IBM MQ. \n \n Preferred Skills:\n \n \n\n • Front-end technologies such as Angular, HTML5, and CSS3.\n, • SQL, Oracle, and data modeling.\n, • CI/CD and DevOps tools such as Jenkins, GitHub, and GitLab.\n, • NgRx, RxJS, Connect:Direct, Docker, Kubernetes, and OpenShift.\n, • Functional Knowledge Preferences:\n \n, • PDLC/SDLC\n, • CI/CD, DevOps, Data Modeling\n, • Agentic AI, Claude Code Technical Skills\n, • SQL, Oracle\n, • Jenkins, GitHub, GitLab\n, • Java, Spring, Angular \n \n By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at info@sgainc.com to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations.\n \n \nSGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at https://sgainc.com/ .\n \n \nSGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy.\n \n

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

About the role \n mogul is seeking a sharp, product-minded developer to build and scale the first of its kind residential platform that's changing how people invest in real estate. You will own features and architectural decisions across the stack. This includes working on real estate acquisitions, property launches, investor platform, communications across demand channels, investor distributions, asset management, and a novel tax generation engine. It will be up to you to solve challenges that have been previously declared “impossible” through creative automations and collaboration. You'll report directly to the CTO and build the enterprise level infrastructure behind a growing portfolio of residential assets. \n \n You'll be working across our modern TypeScript stack, including Next.js, NestJS, Docker, and MongoDB to bridge the gap between acquisition data and operational execution. We care deeply about shipping fast, maintaining quality, and automating every manual step in the property lifecycle. \n \n What's non-negotiable is a deep sense of ownership, a desire to build robust supply-side infrastructure, and the ability to execute with minimal hand-holding in close partnership with our Supply and Operations teams. \n \n Location: This role is based in our New York City office. You must be located in, or willing to relocate to, NYC and able to work in person from our NYC office. \n \n What you'll do \n\n • Report directly to the CTO\n, • Build and maintain core features across the Next.js frontend and NestJS backend\n, • Write clear and maintainable TypeScript code\n, • Contribute to infrastructure decisions as we scale on Docker\n, • Review pull requests, write technical specs, and shape the engineering culture at mogul\n, • Collaborate closely with the Operations team to organize and execute a scalable engine, replacing manual workflows with automated systems\n, • Improve developer workflows and CI/CD pipelines using GitHub Actions and best practices\n, • Debug performance issues, handle incidents, and keep our platform resilient\n, • Help shape product decisions with data and rapid iteration\n\n \n Required Skills and Technology \n\n • Proficiency in TypeScript, both on the frontend and backend\n, • Experience building scalable, production-grade apps with Next.js and NestJS\n, • Working knowledge of Docker and containerized deployments\n, • GitHub workflows and code reviews\n, • Strong fundamentals in software engineering and API design\n, • Ability to learn quickly, prioritize ruthlessly, and work independently\n, • Comfort balancing speed and quality in a startup environment\n, • 3+ years full stack experience\n\n \n Why mogul? \n mogul is a highly motivated team, building platforms and products for the future of real estate. \n \n We are driven by the belief that technology can fundamentally reshape the entire real estate industry. We leverage cutting-edge tools and artificial intelligence to increase transparency, lower the barriers to entry, and create efficiencies across all facets of real estate. \n \n Our real estate investing platform provides all investors direct access to high-quality, cash-flowing, residential US properties. With additional products / platforms implemented at scale, we architect the new infrastructure of real estate. \n \n Our team's culture of inclusion and open discussion drives efficiencies, innovation, and autonomy. We operate in the exact way you had been saying your former employer should have operated this entire time (if the meeting could be an email, it will be; no PowerPoint presentations with fancy renderings). \n \n Join our mission to bring one of life's necessities (shelter) into the AI digital age, open the asset class to millions, and in doing so, enhance financial literacy and shrink the wealth gap. \n \n mogul's Core Values \n\n • We, Not I - A company is just a collection of people striving towards a goal. To achieve the goal, we all need to be striving for the goal together\n, • Creative Problem Solving - Every problem has a solution, it just might not be the most direct path. Operate on principles, and solve from there\n, • The Highest Quality (1 of 1) - Approach everything with quality, every interaction, product, property, everything. The little things matter\n, • Client obsessed - We are nothing without our customers. Treat them like you would treat family, assuming you love your family\n, • Input focused, Output oriented - Everything is measurable, our inputs drive outputs, and the scientific method is how we learn & grow\n, • Let's F*cking Grow - Pretty simple, grow, learn, act. Just make sure you are pushing forward in all areas at a rapid pace\n, • Execute - Execute. Execute. Execute\n\n \n mogul's Purpose \n Unlock Real Estate, Make Money, Create Impact \n \n mogul's Niche \n Redefining Residential Real Estate \n \n What mogul Offers \n\n • Opportunity to advance the entire real estate industry and become part of the new face of real estate\n, • Efficiency, transparency, and open lines of communication\n, • Creative environment with room to grow in both your role and career\n, • Growth and performance based on work product, not on hours spent working (if Leonardo Da Vinci was based on quantity rather than quality, he would be considered the worst painter of all time)\n, • Autonomous level of responsibility, with direct engagement of key stakeholders and leadership\n, • Competitive compensation\n, • Competitive equity compensation package\n, • In-office Benefits: NYC\n, • Comprehensive benefits plan\n\n

Official Title: Senior Product Manager, Enterprise AI Platform \n Location: Hybrid, Midtown Manhattan, New York City \n Office expectation: Two to three days per week \n \n The Opportunity: Zaddy Solutions is leading the search for a Senior Product Manager on behalf of an established B2B software company with a AI software product line. \n \n The platform helps organizations manage how AI agents connect to business systems, tools, and data. It addresses areas such as authentication, permissions, system visibility, policy enforcement, auditability, and sensitive-data protection. This is a hands-on senior individual-contributor position with meaningful ownership over how the product develops and reaches the market. You will work closely with AI leadership, engineering, product design, customers, and go-to-market teams to turn technical capabilities and customer needs into a clear roadmap and shipped product improvements. \n \n The product and category are still developing. You will not inherit a mature playbook, extensive documentation, or a large product organization. You will help create the structure, priorities, customer-feedback loops, and operating rhythm needed to move the product forward. \n \n Previous ownership of a commercial Model Context Protocol product is not required. \n We are interested in candidates with relevant technical foundations who have built with modern AI systems and can quickly develop deeper expertise. Experience building, configuring, or experimenting with Model Context Protocol servers is strongly preferred, including professional projects, prototypes, open-source work, or credible independent development. \n \n What You Will Own: \n\n • Own and maintain the product roadmap, backlog, and prioritization process\n, • Translate customer problems and business objectives into clear requirements and acceptance criteria\n, • Partner closely with engineering and design from discovery through launch and iteration\n, • Interview customers, prospects, partners, and internal stakeholders to understand workflows and unmet needs\n, • Use product data, customer feedback, and market signals to guide decisions\n, • Define success metrics related to adoption, usage, reliability, customer value, and commercial performance\n, • Evaluate tradeoffs involving speed, complexity, usability, security, and business impact\n, • Support product launches in partnership with Sales, Marketing, and Customer Success\n, • Help connect the product to the company’s broader technology and data-governance strategy\n, • Establish lightweight, repeatable product-management practices without creating unnecessary process\n, • Participate in selected customer, partner, and industry conversations as a product expert\n\n \n What Success Looks Like in Your First Year: \n\n • Develop a strong understanding of the product’s architecture, capabilities, users, market position, and commercial potential\n, • Build effective working relationships across engineering, design, go-to-market, and company leadership\n, • Own a clear, evidence-based roadmap informed by customer feedback, usage data, technical priorities, and business goals\n, • Establish repeatable practices for discovery, prioritization, delivery, release management, and performance measurement\n, • Ship meaningful product improvements that strengthen usability, reliability, adoption, and customer value\n, • Position the product effectively within the company’s broader portfolio and go-to-market strategy\n, • Become a trusted internal authority who gives product, engineering, design, and commercial teams the clarity needed to execute\n\n \n What You Bring: \n\n • Approximately five or more years of product-management experience\n, • Meaningful ownership of an externally sold B2B SaaS product\n, • Experience taking products or major features from discovery through launch and iteration\n, • Experience working closely with engineering and design teams in a startup, growth-stage company, or similarly fast-moving environment\n, • Hands-on exposure to AI or LLM-powered products, including agents, tool calling, workflow automation, integrations, or retrieval\n, • Working knowledge of APIs, authentication, permissions, data flows, system integrations, and technical failure modes\n, • The ability to understand technical architecture and make informed product tradeoffs with engineers\n, • Experience collecting customer feedback and converting it into product priorities\n, • Strong quantitative reasoning and the ability to use data to evaluate product performance\n, • Clear writing, thoughtful communication, and sound decision-making\n, • The ability to move from an unclear problem to a practical recommendation without excessive process\n, • Comfort operating as a senior individual contributor without a large support structure\n, • Eligibility to work in the United States\n\n \n Particularly Relevant Experience in One or More of the Following Areas Would Be Especially Valuable: \n\n • Model Context Protocol\n, • AI agents and agent orchestration\n, • Developer platforms or developer tools\n, • API management and enterprise integrations\n, • Identity, authentication, or access management\n, • Data infrastructure, observability, or governance\n, • Enterprise security or privacy technology\n, • Workflow automation\n, • Zero-to-one product development\n\n \n Education: \n\n • A bachelor’s degree or equivalent practical experience is required.\n, • A degree in computer science, engineering, information systems, human-computer interaction, design, business, or another analytical field may be helpful, but a specific degree or advanced degree is not required.\n, • Demonstrated product judgment, technical fluency, and shipped work will carry more weight than academic pedigree.\n\n \n This Role May Not Be the Right Fit If: \n\n • Your experience is primarily limited to internal tools rather than commercially sold software\n, • You have advised on AI strategy but have not helped ship AI-enabled products\n, • You are primarily interested in managing people rather than personally owning product execution\n, • You require mature processes, extensive documentation, or a large product organization\n, • You are uncomfortable working directly with engineers on APIs, integrations, authentication, and system behavior\n, • You cannot work from the company’s Midtown Manhattan office two to three days per week\n\n \n Benefits include: \n\n • Employer-supported 401(k) plan\n, • 100% employee health-insurance coverage\n, • Paid vacation\n, • Hybrid workplace\n, • Professional-development opportunities\n, • Team events and company gatherings\n, • Flexible working practices\n, • Additional employee benefits and office amenities\n\n \n Why Consider This Opportunity? \n\n • Take meaningful ownership of a new product in an emerging enterprise technology category\n, • Work directly with the people responsible for the product’s original vision and development\n, • Help define how organizations securely connect AI agents to business systems\n, • Influence product strategy, customer adoption, and commercial direction\n, • Operate with early-stage ownership while benefiting from the resources of an established global company\n, • Join a collaborative team working across AI, security, privacy, and responsible data use\n\n \n If you are excited about the opportunity but do not meet every preferred qualification, we still encourage you to apply. We are looking for evidence of product ownership, technical curiosity, learning agility, and the ability to build effectively in an emerging market. Zaddy Solutions will conduct the initial evaluation and screening process. Additional information about the company and product will be shared with qualified candidates as they progress.

Job Title: Java Developer Contractor \n Location: Jersey City, NJ (Onsite) \n Employment Type: Contract until 04/02/2027 \n Pay Rate: 70.00 - 73.00 USD/Hour on w2 ONLY \n \n Join our dynamic team as a Java Developer Contractor, where you will play a crucial role in supporting the development and maintenance of Java-based applications. This position offers you the opportunity to work on exciting projects in Jersey Town, a vibrant location with a thriving tech community. \n \n Responsibilities: \n\n • Design, develop, and maintain Java applications, ensuring high performance and responsiveness.\n, • Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.\n, • Conduct unit testing and debugging to ensure the functionality and reliability of applications.\n, • Participate in code reviews to maintain code quality.\n, • Stay updated with the latest Java technologies and frameworks to recommend and implement improvements.\n\n Primary Skills Required: \n\n • Fullstack Java with React - Advanced (6-9 years experience)\n\n Additional Skills Requested: \n\n • Fullstack Java - Expert (10 years experience)\n, • Experience with React JS and Camunda workflow skills.\n, • Experience leveraging AI throughout the Software Development Life Cycle (SDLC).\n, • Proficiency in Spring Boot, Microservices, and AWS services (EC2, Lambda, API Gateway, S3, and EKS).\n, • Experience with containerization using Docker and orchestration with Kubernetes.\n\n \n Who We Are \n SGF Global is an integrated talent solutions provider, offering staffing, recruitment, Employer of Record (EOR), nearshore, and consulting services across a wide range of industries in 35 countries. We’re a dynamic, people-first organization where fresh ideas are always welcome. Our culture is built on collaboration, innovation, and a genuine passion for helping people grow. At SGF Global, smiles are part of the dress code, and every voice matters. Are you looking to join an organization where your ideas are valued, your growth is supported, and your work makes a global impact? \n\n • Explore opportunities\n, • Grow your career\n, • Be part of something global\n, • Your future starts here.\n\n \n \n

Hybrid Every other week onsite/5 days in Jersey City, NJ \n \n Our client seeks a senior software engineer to lead design and development of next-generation electronic trading systems. The role focuses on low-latency, high-throughput, distributed platforms with event-driven architectures. You will collaborate across teams, mentor engineers, and drive performance, scalability, and resilience improvements in a mission-critical environment. \n Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. \n \n Rate: $75.00 to $85.00/hr. w2 \n \n Responsibilities \n\n • Architect and develop distributed, event-driven trading systems optimized for low latency and high throughput.\n, • Design and implement asynchronous processing frameworks and resilient messaging services.\n, • Collaborate with internal and external teams to deliver robust, end-to-end electronic trading workflows.\n, • Lead platform-wide performance tuning and optimization initiatives.\n, • Mentor engineers and promote engineering best practices.\n, • Support production and non-production environments, including participation in a weekly on-call rotation.\n\n \n Experience Requirements \n\n • 10+ years of hands-on software design and development experience.\n, • Expertise in Java, C/C++, Python, and Linux.\n, • Deep experience with low-latency messaging systems such as 29West or Kafka.\n, • Proficiency with KDB+ or other time-series databases.\n, • Background in building scalable, distributed, asynchronous, and event-driven applications.\n, • Advanced knowledge of low-latency design patterns and performance optimization techniques.\n, • Experience with Capital Markets or Brokerage systems, including order management.\n, • Understanding of the FIX protocol and FIX engines.\n, • Familiarity with AI developer assist tools such as GitHub Copilot.\n, • Experience with CI/CD tools including GitHub, Maven, Jenkins, Artifactory, and uDeploy.\n, • Hands-on experience deploying applications to AWS or other cloud platforms.\n, • Ability to analyze end-to-end systems to identify performance, scalability, and resilience bottlenecks.\n, • Strong analytical, communication, and organizational skills.\n, • Ability to manage multiple tasks and work in a collaborative team environment.\n, • Self-driven innovation and comfort working with leadership.\n, • Willingness to support production systems and participate in on-call rotations, including occasional weekend support.\n\n \n Education Requirements \n\n • Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent.\n

Technical Writer | Developer Infrastructure | New York City (Onsite) \n \n About the company: This is a rare greenfield opportunity: there's no existing content calendar, no manager handing out assignments — you'd build the entire technical content engine from zero. The company is small (well under 50 people) but operates at serious scale, running large fleets of its own infrastructure and serving thousands of customers. It's already around $10M in annual revenue, growing several times over year-on-year, and recently raised a well-backed round from top-tier venture investors. The founding team has deep systems and infrastructure engineering backgrounds from well-known scale-up companies. \n \n What you'll do: \n\n • Build and own the technical content engine from scratch — cadence, formats, and editorial strategy — so high-quality content ships without falling on engineers or founders\n, • Write technical guides, benchmarks, deep dives, comparisons, and customer case studies aimed at organic search and AI-engine visibility\n, • Partner with the product team and founders on launch content for multiple 0-to-1 product launches this year\n, • Interview engineers directly and turn real technical work into stories developers actually want to read and share (not marketing fluff)\n, • Repurpose long-form technical content into shorter social-native formats (X, LinkedIn)\n, • Write and maintain landing pages and product documentation (roughly 20% of the role)\n, • Stay genuinely plugged into the developer ecosystem (Hacker News, X, Reddit, Discord) and proactively pitch content ideas\n\n \n What they're looking for: \n\n • 5+ years writing technical content for developer audiences, with a portfolio of work that has genuinely traveled — pieces engineers actually share, content that's hit the Hacker News front page, or an audience you built yourself\n, • Deep familiarity with developer communities and how engineers discover and evaluate content\n, • Comfortable interviewing engineers and translating complex infrastructure concepts into opinionated, compelling writing\n, • Bonus: experience in developer relations, engineering-adjacent journalism, or creating content across formats (video, conference talks)\n\n \n Logistics: \n\n • Location: New York City — onsite, 5 days/week\n, • Compensation: $150K–$180K base plus competitive equity\n, • Not able to sponsor visas — must be authorized to work in the US\n\n \n Company name and full details shared confidentially once we connect. If this sounds like your kind of writing challenge — or you know someone it fits — send me a message or apply!

We are seeking a hands-on Senior AI Native Engineer to design, build, and deliver production-grade AI agents, LLM-integrated applications, and developer productivity tooling on AWS. \n The ideal candidate is an experienced software engineer who remains actively involved in coding and uses GitHub Copilot and/or Claude Code CLI as part of their day-to-day development workflow. This role requires proven experience taking agentic AI or LLM-based solutions beyond proof-of-concept into production environments, with strong foundations in cloud-native engineering, Microservices, APIs, and DevOps. \n \n Basic Qualifications – Must Have \n • 7+ years of experience in hands-on software engineering, including Microservices, APIs, cloud-native applications, and enterprise software development. \n • 3+ years of strong hands-on experience with AWS, DevOps/CI-CD, and cloud-native architecture. \n • Proven hands-on experience personally building and deploying an AI agent, LLM integration, or agentic workflow into a production environment. \n • Current hands-on development experience, with active individual-contributor coding experience within the last 6 months. \n • Demonstrated day-to-day use of GitHub Copilot and/or Claude Code CLI for software development, with the ability to explain specific real-world use cases. \n \n Technical Skills \n • Agentic AI: AI Agents, Agentic Workflows, Tool Calling, Multi-Agent Systems \n • Agent Frameworks: LangGraph, LangChain, CrewAI, AutoGen, Strands, Bedrock Agents \n • Protocols: Model Context Protocol (MCP) \n • AI/LLM Platforms: AWS Bedrock, Anthropic APIs, OpenAI APIs, Azure AI Foundry \n • Cloud: AWS \n • Architecture: Microservices, REST APIs, Event-Driven Architecture, Cloud-Native Applications \n • AI Coding Tools: GitHub Copilot, Claude Code CLI \n • DevOps: Git, CI/CD, automated testing and deployment \n • LLM Observability: Langfuse, LangSmith, Braintrust, Weights & Biases \n • AI Patterns: RAG, Embeddings, Vector Search, LLM Evaluation, Guardrails

Role: Applied AI Engineer \n Location: New York, NY \n Onsite: 4-5 days \n Duration: 12 months \n Interview Process: \n\n • 1st: In-person\n, • 2nd: In-Person\n\n \n Must Have: \n\n • Strong background within Machine Learning\n, • Everything withing AI starts here\n, • Strong within Python (NOT looking for a software developer who has learned how to use models. Instead, looking for a core math background, machine learning, data model extraction and/or trading models.\n, • Pytorch\n, • Langchain\n, • Core AI Tools\n, • Document Extraction Experience and comfortable enhancing the model to produce better extraction\n, • RAG experience is a MUST\n, • Agentic Workflows Exp\n, • Ability to orchestrate workflows of a system. Someone who has applied their knowledge into apply agentc workflows - move through steps from beginning to end. Do transformation on it and produce a result\n, • Llm OPS\n, • NOT LOOKING FOR A SOFTWARE DEV WHO learned how to use models\n, • Building production systems and not just trying to learn something\n, • Someone who has applied knowledge into how EFFECTIVELY they can apply agentic workflows\n, • Must have professional experience working with a LIVE system, opposed to someone doing this recreationally\n, • Financial Services is a HUGE plus\n\n \n Plus: \n\n • Engineering Exp front to back\n, • Build workflows, examine systems, suggest solutions to it using data flows and gen AI, etc\n\n Fixed Income or Institutional Lending domain experience. \n • Experience working in regulated environments with strong audit and control requirements. \n • Familiarity with enterprise security, data governance, and entitlement models. \n • Experience designing reusable internal platforms or shared developer tooling. \n • Frontend experience is beneficial (Angular or React) \n \n D2D; \n • Design and evolve reusable GenAI workflows used across Lending business lines. \n • Develop an enterprise grade AI-based document ingestion and data extraction capability, including traceability, confidence scoring, and human-in-the-loop review. \n • Build AI-powered assistants embedded in Lending systems using agentic workflows. \n • Deliver automated content and deck generation workflows for reporting and approvals. \n • Provide expert advice on GenAI architecture including model selection, orchestration patterns, and evaluation strategy. \n • Establish LLMOps practices: extraction accuracy, assistant reliability, prompts management, and audit monitoring. \n • Design and implement controls for entitlements, PII handling within open-source models in a regulated environment. \n • In the role you are expected to act as a hands-on technical expert, and it has a clear path to becoming a platform owner responsible for shared GenAI standards across Lending. \n \n Misc: \n\n • They do not have this type of candidate on team today - they need this candidate to come in and be a SME on the team and be confident enough to bring their own two sense into the role.\n, • AI Platform is being built from scratch\n, • Need this candidate to bring knowledge of how to chain workflows and how to enhance extractions\n, • Stakeholders\n, • Strats (heavy math background) + Operations Users + Business Users\n, • Current Volume of Documents: Lending volume is Massive\n, • Docs can go from 1 page to 300+ pages (PDFs)\n\n \n Redflags: \n\n • Developer who simply is using AI\n\n \n Ideal Candidate: \n\n • Applied AI SME - how can come in and say " THIs is how it needs to be done, this is what I will need to do it, this is my timeline, etc."\n, • Practitioner is someone who not just someone giving out straight answer.\n\n

Client Overview Our client is a large, established organization seeking an experienced Senior GenAI Developer to help build and enhance enterprise AI and automation solutions. This team is focused on using Microsoft’s AI ecosystem to improve internal workflows, knowledge access, and employee productivity.\n \n Salary/Hourly Rate $55/hr - $70/hr\n \n Position Overview The Senior GenAI Developer will build enterprise conversational AI solutions within the Microsoft ecosystem. This individual will develop intelligent AI agents and workplace assistants while securely connecting them to internal data, applications, and knowledge sources.\n \n \nThe role will work heavily with Microsoft Copilot Studio, Azure OpenAI, Power Virtual Agents, Azure AI Search, and related Microsoft technologies.\n \n Responsibilities Of The Senior GenAI Developer \n\n • Build and enhance enterprise conversational AI agents and digital assistants.\n, • Develop solutions using Microsoft Copilot Studio, Power Virtual Agents, and Azure OpenAI.\n, • Connect AI agents securely to internal enterprise data and applications.\n, • Design integrations using Microsoft Graph API, Dataverse, and custom APIs.\n, • Build RAG-based solutions for enterprise knowledge search and retrieval.\n, • Utilize Azure AI Search and vector-based technologies to provide relevant, context-aware responses.\n, • Develop integrations between AI solutions and existing business systems.\n, • Build automated workflows using Power Automate.\n, • Support Power Apps and other Microsoft-based business applications as needed.\n, • Ensure solutions follow enterprise standards for security, scalability, reliability, and data access. \nRequired Experience/Skills For The Senior GenAI Developer \n\n • Strong hands-on experience developing conversational or Generative AI applications.\n, • Experience with Microsoft Copilot Studio and Power Virtual Agents.\n, • Hands-on experience with Azure OpenAI Service.\n, • Experience designing and implementing RAG solutions.\n, • Experience with Azure AI Search and vector search/vector databases.\n, • Knowledge of Microsoft Graph API and Microsoft Dataverse.\n, • Experience integrating enterprise applications and APIs.\n, • Strong understanding of secure enterprise AI and data-access patterns.\n, • Ability to design, build, and deploy production-ready AI solutions.\n, • Must be authorized to work in the U.S. without current or future sponsorship. \nPreferred Experience/Skills For The Senior GenAI Developer \n\n • Experience with Power Automate and complex cloud workflows.\n, • Experience with Power Apps.\n, • Experience connecting AI agents to custom APIs and backend systems.\n, • Familiarity with enterprise AI governance and security practices.\n, • Experience working within large-scale enterprise technology environments. \nEducation Requirements \n\n • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related discipline preferred.\n, • Equivalent professional experience will be considered. \nBenefits \n\n • Medical, Dental, and Vision Insurance.\n, • Paid Time Off (PTO).\n, • Additional employee benefits based on eligibility and assignment terms. \n

Founding Engineer — Confidential Search \n \n New York City | Five days on-site in Manhattan \n $250,000–$500,000 base + up to 2% equity \n Full-time | No visa sponsorship available \n \n Right, the important bit first. \n \n This isn’t one of those “Founding Engineer” jobs where you’ll arrive as employee 47 and spend your first month sitting in planning meetings. \n \n You’ll be the first engineering hire, joining two founders in a small, seriously profitable business that has gone from zero to significant eight-figure revenue in under a year — without raising outside funding. \n \n The company is building a real-time pricing and decisioning platform for a fast-moving consumer marketplace. The engineering problems look a lot like electronic trading: huge amounts of changing market data, automated bidding, live inventory and decisions where the financial impact shows up almost immediately. \n \n You’ll sit beside the founders in the office and own the core technology behind it. \n \n What you’ll actually be doing \n \n • Building and owning the pricing engine, bidding infrastructure and data systems that power the platform \n • Turning AI and model research into production systems that run continuously \n • Building proper experimentation and A/B testing frameworks around pricing decisions \n • Improving the speed, throughput and reliability of the bidding systems \n • Creating AI-powered tooling for triage, production failures and model-drift detection \n • Making the big early architecture calls and setting the engineering standard as the team grows \n • Getting very close to the commercial side of the business — what you ship can affect revenue within hours \n \n The non-negotiables \n \n • You have 3–10 years of professional software engineering experience \n • You have genuine 0→1 experience. You’ve personally taken an ambiguous product or technically difficult system from an idea into production — ideally as a founder, founding engineer or one of the first engineers \n • You’ve worked somewhere with a genuinely high engineering bar, whether that’s a top technology company or a smaller team solving very hard problems \n • You’ve designed, built and operated data-intensive production systems \n • You’re strong with Python, or close enough technically that moving into a Python-heavy environment won’t be an issue \n • You have proper platform, infrastructure or distributed-systems experience \n • You’re naturally good with data and comfortable making decisions when the information is incomplete, noisy or moving quickly \n • AI is already part of how you build. You’re using LLMs, agents and modern developer tooling in real work, not just playing around with them at the weekend \n • Your career shows progression, ownership and things you have actually shipped \n • You’re comfortable disagreeing with smart people, backing your opinion and changing it when the evidence proves you wrong \n • You’re still a very hands-on engineer. This isn’t a people-management or operations role \n • You can work on-site in Manhattan five days a week \n • You already have unrestricted US work authorisation. Unfortunately, sponsorship isn’t available \n \n You’ll probably be especially interesting if \n \n • You’ve founded something yourself or joined very early and helped it achieve real commercial traction \n • You’ve built systems around pricing, trading, marketplaces, bidding or optimisation \n • You’ve worked on production AI, model evaluation, automated operations or experimentation \n • You’re interested in markets, pricing or trading systems \n • You have a strong computer science background \n \n Why it’s worth a look \n \n You’ll be joining a tiny, profitable team with no investors breathing down its neck and no layers of approval. There’s a lot still to build, the problems are properly difficult and the upside is real. \n \n You won’t be handed a polished roadmap. You’ll work things out with the founders, challenge them when needed and take full ownership of what gets built. \n \n The base salary is $250,000–$500,000, depending on experience and the level of impact you can have, with up to 2% equity on top. \n \n The process \n \n 1. A 30-minute chat with one of the founders \n 1. A one-hour technical interview with the technical co-founder \n 1. A take-home exercise \n 1. A presentation of your work to the team \n 1. A final on-site meeting \n \n If it’s a strong fit on both sides, the whole thing can move from first chat to offer inside two weeks. \n \n When you apply, make it easy to see what you personally owned, what you built from 0→1 and what happened as a result. A list of technologies won’t tell the story — the interesting bit is what you actually built.

Job Title: Lead GenAI Engineer - Banking Client Exp required \n Location: Manhattan, NY (3 days a week onsite) \n Duration: 6 months rolling contract \n £70/Hr on C2C \n \n GC and USC Candidates only \n Interview Process:- 2 Rounds- Interview will be in person in NY office \n \n Description \n We are looking for a highly skilled and hands-on GenAI Engineer to drive the design, development, and deployment of enterprise-scale Generative AI solutions. The ideal candidate will have strong expertise in Agentic AI workflows, RAG architectures, LLM orchestration, workflow automation, and scalable AI platform engineering. This role requires both technical depth and the ability to translate complex business problems into practical AI-driven solutions. \n Key Responsibilities \n\n • Lead the architecture, design, and implementation of enterprise GenAI platforms and AI-powered applications.\n, • Design and develop Agentic AI workflows using autonomous and multi-agent frameworks.\n, • Build and optimize RAG (Retrieval-Augmented Generation) pipelines integrating enterprise knowledge sources.\n, • Develop intelligent workflow automation solutions using GenAI and AI agents.\n, • Collaborate with business stakeholders to identify AI opportunities, define use cases, and architect scalable solutions.\n, • Create AI solutions for:\n, • Business process automation\n, • Knowledge management\n, • Intelligent document processing\n, • Conversational AI\n, • Decision support systems\n, • Code generation and developer productivity\n, • Design scalable APIs and microservices for AI applications.\n, • Implement observability, monitoring, guardrails, security, and governance for AI systems.\n, • Optimize LLM performance, prompt engineering, latency, and cost efficiency.\n, • Mentor engineering teams and establish AI engineering best practices.\n, • Drive deployment automation and production readiness using DevOps and MLOps practices.\n\n Required Skills & Experience \n Generative AI & LLMs \n\n • Strong experience with:\n, • OpenAI GPT models\n, • Claude\n, • Gemini\n, • Llama\n, • Mistral\n, • Expertise in:\n, • Prompt engineering\n, • Fine-tuning concepts\n, • Function calling / tool usage\n, • AI agent orchestration\n, • Context management\n, • Memory handling\n\n Agentic AI & Workflow Orchestration \n\n • Experience designing autonomous AI systems using:\n, • LangChain\n, • LangGraph\n, • CrewAI\n, • AutoGen\n, • Semantic Kernel\n, • LlamaIndex\n, • Strong understanding of:\n, • Multi-agent systems\n, • Planning and reasoning workflows\n, • Human-in-the-loop workflows\n, • AI orchestration patterns\n\n RAG & Knowledge Systems \n\n • Hands-on experience with:\n, • RAG architecture design\n, • Vector databases\n, • Embedding models\n, • Semantic search\n, • Hybrid search\n, • Chunking strategies\n, • Document ingestion pipelines\n, • Experience with vector databases such as:\n, • Pinecone\n, • Weaviate\n, • ChromaDB\n, • FAISS\n, • Milvus\n, • Elasticsearch/OpenSearch vector search\n\n Backend & API Development \n\n • Strong Python development experience.\n, • Experience building:\n, • REST APIs\n, • FastAPI / Flask services\n, • AI microservices\n, • Async processing pipelines\n, • Familiarity with API integration patterns and enterprise integrations.\n\n Cloud, DevOps & Deployment \n\n • Experience with:\n, • Docker\n, • Kubernetes\n, • Containerization\n, • CI/CD pipelines\n, • GitHub Actions / Jenkins / GitLab CI\n, • Terraform or Infrastructure as Code\n, • Cloud platform expertise in one or more:\n, • AWS\n, • Azure\n, • GCP\n, • Exposure to:\n, • MLOps\n, • Model deployment\n, • Monitoring and logging\n, • AI governance and security\n\n Frontend & UI \n\n • Working knowledge of:\n, • Angular\n, • TypeScript\n, • React (good to have)\n, • Ability to collaborate on AI-powered UI/UX workflows and conversational interfaces.\n\n Data & Databases \n\n • Experience with:\n, • SQL / NoSQL databases\n, • PostgreSQL\n, • MongoDB\n, • Redis\n, • Data pipelines\n, • ETL workflows\n\n Good to Have \n\n • Experience with AI copilots and enterprise assistants.\n, • Knowledge of MCP (Model Context Protocol).\n, • Experience with workflow tools like:\n, • Apache Airflow\n, • n8n\n, • Temporal\n, • Camunda\n, • Exposure to AI security, responsible AI, and governance frameworks.\n, • Experience in Capital Markets, Banking, Healthcare, Retail, or other enterprise domains.\n, • Familiarity with OCR, speech-to-text, and multimodal AI solutions.\n\n Qualifications \n\n • Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or related field.\n, • 8+ years of software engineering experience with 3+ years in AI/GenAI architecture and solutioning.\n, • Strong communication and stakeholder management skills.\n, • Proven ability to lead technical teams and drive enterprise AI adoption.\n\n Preferred Profile \n\n • Strong problem solver who can convert ambiguous business challenges into scalable AI solutions.\n, • Ability to balance innovation with enterprise-grade architecture and operational excellence.\n, • Passion for emerging AI technologies and rapid experimentation.\n\n

Hybrid 4 in New York, NY \n \n Our client is seeking a senior full-stack developer at the SVP level to design and build core equities engineering services that power real-time trading workflows. The role focuses on backend Java, Spring Boot, distributed systems, and messaging with Kafka or MQ to drive scalability, latency, and resiliency. You will modernize legacy components into cloud-native microservices, integrate AI-assisted development practices, and mentor developers while delivering mission-critical enhancements and support. \n \n Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. \n \n Rate: $95.00 to $105.00/hr. w2 \n JN -052026-106972 \n \n Responsibilities \n\n • Design and build trading and messaging channels interfacing with venues and exchanges using industry-standard protocols.\n, • Operate mission-critical systems and deliver day-to-day enhancements across front office and operations.\n, • Design and develop core Java components leveraging messaging systems such as Kafka and MQ.\n, • Coordinate and execute internal system testing procedures.\n, • Collaborate across platform teams within a platform operating model.\n, • Deliver and maintain applications within the equities domain with a focus on reliability and performance.\n, • Provide second-level production support and troubleshoot issues under pressure.\n, • Mentor junior developers and contribute to engineering best practices.\n, • Re-engineer and modernize the platform toward scalable microservices and cloud-based architectures.\n, • Drive migration and consolidation efforts for order management systems.\n\n \n Experience Requirements \n\n • 10+ years of software development with strong proficiency in Java, SQL, and Git.\n, • 10+ years in business analysis and trading systems analysis or administration.\n, • Strong experience with messaging and data protocols including Kafka and MQ; familiarity with FIX and FpML.\n, • Proficiency with Spring, Spring Boot, and Spring Integration.\n, • Proficiency in data standards and data modeling.\n, • Comfort with cloud environments and DevOps practices including build, deploy, debug, and pipelines.\n, • Familiarity with Windows and Linux environments.\n, • Knowledge of equity products and instruments.\n, • Familiarity with AI coding-assist tools such as GitHub Copilot, Cursor, Windsurf, or Claude Code.\n, • Experience operating distributed, real-time systems with a focus on scalability, latency, performance, and availability.\n, • Production support experience with strong troubleshooting and debugging skills.\n, • Experience with application profiling and performance tuning.\n, • Experience with order management systems and smart order routing (preferred).\n, • Experience managing trade data feeds and downstream integrations (preferred).\n, • Understanding of equities trade life cycles (preferred).\n, • Understanding of the regulatory landscape from a developer perspective (preferred).\n, • Familiarity with Angular and Python (preferred).\n, • Experience with in-memory caching such as Hazelcast, Redis, or GemFire (preferred).\n, • Experience with monitoring and observability tools such as Splunk (preferred).\n, • Cloud architecture and scalability design experience (preferred).\n, • Hands-on FIX protocol experience (preferred).\n, • Strong communication and organization skills.\n\n \n Education Requirements \n\n • Bachelor’s degree in computer science or a related discipline, or equivalent work experience. Advanced degree preferred.\n

We are seeking a Senior Product Engineer to join a fast-growing technology company building next-generation developer tools and AI-powered products. \n \n This role is designed for a senior, hands-on full-stack engineer who has built products from the ground up in a startup or high-growth environment. You will work closely with technical founders and other experienced engineers to shape product direction, make important architectural decisions, and take new products from initial concept through launch and customer adoption. \n \n The team moves quickly and gives engineers significant ownership. This is an opportunity to build net-new products rather than maintain an established roadmap or work within a narrowly defined engineering function. \n \n Candidates must be authorized to work in the United States without current or future visa sponsorship \n \n What You’ll Do \n\n • Own complete product surfaces from early ideation and systems design through development, launch, customer feedback, and iteration.\n, • Build and evolve developer tools and AI-powered product experiences used by engineers.\n, • Work across user interfaces, backend services, APIs, and supporting infrastructure.\n, • Partner directly with technical founders to formulate product ideas, validate them, and bring them to market quickly.\n, • Make meaningful architectural and systems-design decisions across the full stack.\n, • Prototype and ship AI-powered features, including natural-language interfaces, automation, agent-based workflows, and developer productivity tools.\n, • Build polished, high-performance product experiences across analytics, observability, debugging, and agent platforms.\n\n \n Required Qualifications \n\n • 7+ years of relevant, hands-on full-stack product engineering experience.\n, • Proven experience personally designing, building, and launching a meaningful product or major product surface from 0 to 1.\n, • Experience working in a startup, scale-up, or high-growth environment with significant autonomy and ownership.\n, • Strong full-stack engineering ability across frontend and backend development.\n, • Strong, recent experience with React, TypeScript, and modern frontend development.\n, • Backend engineering depth and experience making systems-design and architecture decisions.\n, • Experience building products used by developers, engineers, or other technical users.\n, • Experience with APIs, SDKs, developer platforms, or developer-facing tooling.\n, • Experience at a developer tools or infrastructure startup building products for engineers.\n, • Experience shipping applied AI or LLM-powered features, or compelling examples of using coding agents or agentic tools to materially improve your engineering workflow.\n, • Demonstrated ownership of product decisions from ideation through launch and iteration.\n, • Ability to move quickly, work independently, and make sound decisions in ambiguous environments.\n, • Strong product judgment and an understanding of how technical decisions affect the user experience.\n\n \n This Role May Not Be the Best Fit If \n\n • Your experience has been primarily within large, highly structured organizations without meaningful startup or high-growth experience.\n, • Your background is primarily DevOps, SRE, infrastructure, or platform operations without substantial product ownership.\n, • Your experience is limited to either frontend or backend development rather than full-stack product engineering.\n, • You have not personally taken a meaningful product from idea to production.\n, • You prefer remote or hybrid work.\n, • You require current or future visa sponsorship.\n\n \n Technical Environment \n The engineering environment includes technologies and concepts such as: \n\n • React\n, • TypeScript\n, • Go\n, • Firecracker\n, • GitHub Actions\n, • AI and large language models\n, • Claude\n, • APIs and SDKs\n, • CI/CD\n, • Developer tooling\n, • Full-stack development\n, • Systems design\n\n Not every technology listed above is required. The strongest emphasis is on React and modern frontend development, backend depth, systems design, developer-facing products, and meaningful applied AI or agentic engineering experience. \n \n Why Join \n\n • Build products that do not yet exist rather than maintain someone else’s roadmap.\n, • Own products from initial idea through daily customer use.\n, • Help expand an established developer infrastructure platform into AI-powered developer tools, agent infrastructure, and coding workflows.\n, • Join a well-funded company experiencing significant revenue growth and serving thousands of businesses.\n, • Work within a small, highly technical team with minimal management layers.\n, • Collaborate directly with technical founders.\n, • Make product and architecture decisions that will shape the platform for years.\n, • Work in an engineering culture that strongly embraces AI-native software development.\n, • Receive a competitive base salary and equity package.\n

Staff Platform Engineer \n Duration: 6-Month Contract (Temp to Hire) \n Location: Candidates must reside within a 60-mile radius of any Client office location listed below: Draper, UT | Columbus, OH | Plano, TX | Chadds Ford, PA | Wilmington, DE | NYC/Manhattan. (Hybrid Role: 1-2 Times A Week In Office) \n \n Certification Requirement \n Candidate must have at least one of the following certifications: \n\n • AWS Certified Cloud Practitioner\n, • Microsoft Azure Fundamentals\n, • Google Cloud Digital Leader\n\n \n \n Must-Have Qualifications \n\n • Bachelor’s degree in IT, Computer Science, CIS, Software Engineering, Mathematics, Statistics, or related field, or equivalent experience.\n, • 3–10 years of experience in Platform Engineering, Software Engineering, Cloud Engineering, DevOps, Automation Engineering, or related technical disciplines.\n, • Experience designing, implementing, and scaling enterprise platform capabilities, shared services, automation solutions, and developer productivity platforms.\n, • Experience leading large-scale technical initiatives and influencing engineering strategy across multiple teams.\n, • Strong expertise in cloud-native architectures, platform engineering, automation, DevOps, and modern software delivery practices.\n\n \n Key Skills \n\n • Enterprise Platform Engineering Strategy & Architecture\n, • Platform Products, Shared Services & Engineering Ecosystems\n, • Platform Governance, Standards & Reference Architectures\n, • Developer Experience (DevEx) & Self-Service Platforms\n, • Intelligent Automation & AIDLC Transformation\n, • AI-Powered Engineering & Agentic Systems\n, • AI Agents, Agent Orchestration & Autonomous Workflows\n, • Cloud-Native Architecture & Platform Modernization\n, • DevOps, CI/CD & Engineering Productivity Platforms\n, • SRE & Operational Excellence\n, • Monitoring, Observability & Platform Intelligence\n, • Security, Governance & Compliance\n, • LLM Workflows, Prompt Engineering & Context Engineering\n, • MCP, RAG, Enterprise AI Platforms & AI Integration\n, • Technical Strategy, Cross-Functional Leadership & Influence\n\n \n Preferred Qualifications \n\n • Experience leading enterprise platform transformations, cloud modernization programs, developer experience initiatives, or AI-enabled engineering programs.\n, • Experience defining technology strategy and influencing organization-wide engineering standards and roadmaps.\n, • Certifications in cloud platforms, DevOps, platform engineering, software development, automation, AI/ML, or data engineering.\n\n

Versapay’s purpose is to remove financial friction so business ecosystems can transact smarter, faster, and with greater resiliency. We build cloud-based accounts receivable solutions that help finance teams accelerate cash flow, improve visibility, and operate with confidence. We are a remote-first organization across the U.S. and Canada. Our teams operate with a high degree of trust and autonomy, and we succeed because our people take ownership of their impact, communicate clearly, and follow through on commitments. • Own Your Impact – Accountability is not negotiable. We take responsibility for outcomes, not just effort., • Show Grit – We persevere through ambiguity and challenge with resilience and determination., • Unite to Win – We create value with and for others, working respectfully toward shared goals., • Act with Courage and Candor – We give and receive feedback openly, knowing it makes us better., • Energize and Build Joy – We seek understanding, celebrate wins, and take care of ourselves and each other. Salesforce is a mission-critical enterprise platform within our organization. We manage it with a strong emphasis on architectural discipline, governance, and long-term sustainability. We are hiring a Salesforce Developer who will work closely with our existing platform team and business stakeholders to ensure the platform remains scalable, secure, and reliable as we evolve. This is a high-ownership position within a mature, integration-aware environment. This is an individual contributor role. You will lead your assigned integration design, build, and ongoing health work while sharing broader Salesforce platform delivery ownership with the team. You will work directly with vendor and partner technical teams, translate business needs into supportable designs, and build in the error handling, monitoring, and documentation that keep payment-adjacent workflows trustworthy. You will operate with a high degree of independence and partner closely with our team and business stakeholders. Key Focus Areas • Share ownership of Salesforce solution design, development, and support, including integrations between Salesforce, internal customer-facing applications, third-party vendors, and business partners supporting customer applications and ACH / credit card processing, • Support the workflows behind merchant onboarding, transaction processing enablement, and customer billing, • Build with Apex, Lightning Web Components, Flow, and platform APIs, choosing declarative or programmatic solutions deliberately, • Design resilient error handling, retry, reconciliation, and monitoring patterns so integration failures are caught early and diagnosed quickly, • Serve as the technical point of contact in vendor and partner conversations, from scoping through go-live and ongoing support, • Reduce technical debt in legacy integration code and improve performance, testability, and supportability, • Maintain clear technical documentation and support structured release, validation, and version-control practices, • You think ‘in’ systems, not just in Salesforce. You understand what happens on both sides of an integration, and you design with the downstream system, the data contract, and the failure mode in mind., • You own integration outcomes, not just your code. When something breaks between a partner and us, you help investigate, coordinate across teams and vendors, and drive your workstream toward resolution rather than routing a ticket onward., • You are credible in a room with a vendor. You can lead a technical conversation with an external partner, hold a design position, ask the questions that surface hidden assumptions, and keep the relationship productive., • You respect the weight of money movement. Payment and billing workflows leave no room for casual assumptions, and you bring the rigour, testing habits, and attention to data integrity that this work demands., • You communicate clearly across dev and business. You can talk design with engineers and outcomes with business stakeholders, tailoring the message to the audience. This is critical to the role., • You are a calm, trusted partner under pressure. You handle competing priorities, production issues, and candid feedback with composure, keeping stakeholders confident and focused on solutions., • This is your primary professional focus. A permanent, full-time, in-house role — not a contract or consulting engagement — for someone who wants to go deep on a single Salesforce org., • You build with AI. We actively encourage AI-assisted work. Wherever you are on that journey, we value curiosity, a willingness to fold AI into your workflow, and the judgment to validate its output., • 4+ years of hands-on Salesforce development experience in a professional environment, • Demonstrated ownership of Salesforce integration work with both internal applications and external vendors or partners, • Strong proficiency in Apex, Lightning Web Components, SOQL/SOSL, and Flow, • Working command of integration patterns and APIs (REST, SOAP, Bulk, platform events), authentication models, and error-handling design, • Experience with Salesforce DX, Salesforce CLI, Git-based source control, and CI/CD or structured deployment tooling, • Comfort with admin-level configuration such as page layouts, validation rules, permission sets, and data model design, • Strong systems thinking and independent, self-directed execution, • Excellent, plain-language written and verbal communication with technical, business, and external partner audiences, • Fintech or payments background, including exposure to ACH, credit card processing, merchant onboarding, or billing — valued, but not required for the right candidate, • Working knowledge of Salesforce CPQ / Revenue Cloud and Asset Lifecycle Management, • Salesforce Platform Developer I, Administrator, or App Builder certification, • Experience in a Scrum or Agile environment using Jira for sprint and support management, • Experience working within structured governance and release models, • Comfort using AI tools in day-to-day development work Please begin your application by confirming that you are applying for the Salesforce Developer role, then complete the application and answer the short questionnaire. $70,000 - $90,000 a yearWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Client Overview Our client is seeking a highly skilled Senior GenAI Developer to support the development and implementation of enterprise-grade conversational AI solutions. The organization is focused on leveraging modern Microsoft technologies, artificial intelligence, automation, and enterprise data to improve workplace productivity and business processes. The Senior GenAI Developer will play a key role in developing secure, scalable, and intelligent enterprise AI solutions while helping transform workplace productivity through conversational AI and automation. This opportunity is ideal for a Senior GenAI Developer with strong Microsoft AI, Azure OpenAI, RAG, enterprise integration, and automation experience. Salary/Hourly Rate $55/hr - $70/hr Position Overview Our client is seeking an experienced Senior GenAI Developer to design, build, and deploy intelligent conversational AI agents and autonomous workplace assistants using Microsoft Copilot Studio, Power Virtual Agents (PVA), and Azure OpenAI Service. The Senior GenAI Developer will focus on developing secure enterprise AI solutions, integrating Microsoft ecosystem services, and building robust retrieval-augmented generation (RAG) pipelines. The ideal candidate will have strong experience with Microsoft Graph API, Microsoft Dataverse, Azure AI Search, vector databases, and enterprise automation. Responsibilities Of The Senior GenAI Developer • Design, build, and deploy conversational AI agents using Microsoft Copilot Studio and Power Virtual Agents., • Develop autonomous workplace assistants utilizing Azure OpenAI Service., • Architect secure data connectors across the Microsoft ecosystem., • Build integrations using Microsoft Graph API, Microsoft Dataverse, and custom API wrappers., • Enable secure access to enterprise tenant data and business applications., • Implement robust RAG pipelines using Azure AI Search and vector databases., • Develop context-aware enterprise knowledge retrieval solutions., • Integrate AI agents with enterprise applications, APIs, and backend data sources., • Develop complex cloud flows and enterprise automations using Power Automate., • Utilize Power Apps to support business application integrations., • Ensure AI solutions are secure, scalable, and aligned with enterprise requirements. Required Experience/Skills For The Senior GenAI Developer • Hands-on experience as a Senior GenAI Developer designing, building, and deploying conversational AI agents., • Strong experience with Microsoft Copilot Studio and Power Virtual Agents (PVA)., • Experience utilizing Azure OpenAI Service for enterprise AI solutions., • Experience architecting secure enterprise data connectors and integrations., • Strong knowledge of Microsoft Graph API and Microsoft Dataverse., • Experience developing custom API wrappers and enterprise integrations., • Hands-on experience building RAG pipelines using Azure AI Search., • Experience working with vector databases for AI-powered knowledge retrieval., • Strong understanding of secure, context-aware enterprise AI architectures. Preferred Experience/Skills For The Senior GenAI Developer • Experience developing complex cloud flows using Power Automate., • Experience developing business applications with Power Apps., • Experience integrating AI agents with core business applications and backend data sources., • Experience developing enterprise-grade automation solutions., • Experience working with custom APIs and Microsoft ecosystem integrations., • Knowledge of enterprise AI security, governance, and data access practices., • Experience working as a Senior GenAI Developer within enterprise technology environments. Education Requirements • No specific education requirement., • Equivalent professional experience in AI engineering, software development, cloud technologies, or enterprise automation will be considered. Benefits • Contract opportunity through December 2027., • Competitive W-2 hourly compensation., • Opportunity to work with Microsoft Copilot Studio and Azure OpenAI technologies., • Hands-on experience developing enterprise conversational AI solutions., • Exposure to RAG, Azure AI Search, vector databases, and enterprise knowledge retrieval., • Opportunity to work with Microsoft Graph API, Dataverse, Power Automate, and Power Apps., • Manhattan-based technology opportunity focused on modern AI and automation., • Atrium Care Package available, upon eligibility (including healthcare plans, discount programs, and paid time off).

About Eleven Recruiting We are a specialized technology staffing agency supporting professional and financial services companies. Why do we stand out in technology staffing? We listen and act as advisors for our candidates on how they can best add value, find interesting projects, and pave a path for career advancement. We advocate for the best pay, diversity in tech, and the best job fit for every candidate we place. Our client, an investment firm, is seeking an AI Platform Product Lead to join their team in New York, NY! AIVA is the firm's governed AI execution platform, built to give engineers and business users a secure, scalable way to build and run AI enabled software and workflows in their controlled environments. The ideal candidate will own the product strategy and roadmap for AIVA. You will work at the intersection of engineering, AI and enterprise users, deciding which platform capabilities to build, how to prioritize them, and how to measure adoption and impact. The right candidate is a highly technical product leader who understands platform economics, developer workflows and the difference between a reusable capability and a one-off feature. Responsibilities • Own AIVA product strategy, roadmap, prioritization and success metrics., • Translate engineer and business-user needs into reusable platform capabilities across agents, workflow automation, integrations and self-service., • Drive discovery with engineering teams and business practitioners, identify friction and prioritize the highest-leverage platform investments., • Define adoption, usage, reliability and outcome metrics, and use telemetry and user behavior to guide the roadmap., • Partner closely with architecture and engineering to shape capabilities that are scalable, secure, extensible and usable across the enterprise., • Lead rollout, adoption and communication for new platform capabilities, while balancing user demand, risk, technical complexity and platform coherence. Qualifications • Product leadership experience with technically sophisticated platforms such as developer platforms, cloud platforms, API platforms, data platforms or AI platforms., • Strong understanding of software engineering, platform architecture and developer workflows., • Enough AI fluency to reason about agents, models, evaluation, workflow automation, cost, latency and quality tradeoffs., • Track record of using product telemetry, adoption data and direct user research to prioritize roadmaps., • Ability to work credibly with senior engineers and executives while keeping the product grounded in user outcomes. Pay Rate: $110 - $130/hr Your safety matters to us. To protect yourself from potential scams, remember that Eleven recruiters only contact you from @elevenrecruiting.com email addresses. Be cautious of emails from other domains. Legitimate Eleven recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit _directly for confirmed position openings.

Pay $200,000 - $250,000 Location Remote Summary Join a well-funded, dynamic startup at an exciting early stage of growth. As a Staff Product Engineer, you'll take ownership of pivotal areas within a leading AI-assisted development platform, driving innovation and shaping the future of developer tools. This role involves defining long-term strategies, building scalable platform capabilities, and collaborating closely with cross-functional teams to deliver trusted and impactful AI-driven solutions. Requirements • 8+ years of experience leading highly technical products or managing product-engineering teams., • Proven success in building developer-facing platforms or infrastructure products from inception to scale., • Deep understanding of modern AI-assisted software development and agentic workflows., • Strong ability to influence stakeholders and translate ambiguity into clear strategies., • Excellent written communication skills and decision-making capabilities. Responsibilities • Define and drive the long-term strategic vision for AI code generation and developer workflows., • Prioritize features and platform capabilities, balancing innovation with enterprise trust requirements., • Establish key metrics for workflow quality, adoption, trust, and business impact, operationalizing them across product development., • Lead architecture and product decisions for core platform primitives including context, memory, search, and orchestration., • Collaborate with customers and internal teams to shape multi-quarter product roadmap and deliverables., • Ensure alignment with engineering, design, AI, GTM, and leadership teams through effective stakeholder management. Benefits • Be part of a well-funded startup with high growth potential, working on cutting-edge AI developer tools., • Opportunity for significant impact within a pioneering product at an early stage of company growth., • Flexible, fully remote work environment supporting work-life balance and collaboration across locations., • Competitive compensation package with room for growth aligned with company success.

Job Description We are seeking a dynamic and detail-oriented Experiential Designer to join our innovative design and technology team. In this role, you will craft compelling physical environments, interactive installations, and lab prototypes that engage our audience, bring cutting-edge AI concepts to life, and support our overall spatial and experiential strategy. What We're Looking For Minimum Qualifications • Portfolio: A robust portfolio of built experiential lab prototypes, environments, exhibits, installations, or brand spaces, showcasing the journey from sketch to fabrication., • Production Craft: Expert hands-on skills in 3D modeling, spatial visualization, prototyping, and material selection., • Software Tooling: Proficiency using tools like Rhino, Blender, Cinema 4D, SketchUp, Figma, or the Adobe Creative Suite., • Execution Autonomy: Proven ability to execute complex projects independently without needing a producer or creative director to unblock you., • Mission Alignment: Deep care for tech ethics and a commitment to representing technical capabilities honestly through design. Preferred Qualifications • Tech Prototyping: Fluency prototyping in code or with AI tools, with experience in projection-based, sensor-driven, or interactive media., • Scientific Grounding: Background in cognitive science, behavioral science, or environmental psychology., • Event Scoping: Experience designing high-profile technology conferences, keynotes, developer events, or immersive theatre., • Niche Environments: Background working within innovation labs, museums, retail, hospitality, or repeat-visitor workplaces., • Adjacent Craft Depth: Experience in sound, motion, lighting, industrial design, or complex graphic systems.

Job Description This is an opportunity with a venture-backed insurance startup in New York that's using AI, operational data, and proprietary underwriting models to tackle one of the biggest challenges in commercial insurance: affordability. The organization is seeking a Full Stack Developer who wants to work directly with underwriters, customers, and leadership to build products that fundamentally change how risk is evaluated, priced, and managed. The role offers the opportunity to: • Own projects end-to-end, • Build AI-powered workflows, • Help shape a platform from the ground floor, • Earn meaningful equity Salary Range: $150,000–$200,000 per year If you're interested in insurance, AI, and building something that could genuinely reshape an industry, additional details are available upon request. Apply now!

Job DescriptionProduct Owner Job Type: Full-time Location: Remote Role Summary We are seeking a strong Product Owner to work with engineering, data, and business teams to turn complex problems into intuitive, high-quality products. Experience with AI, data, developer tools, or technology products is highly relevant. What You'll Do • Own the product lifecycle from discovery and scoping through launch and iteration., • Define product goals, KPIs, adoption metrics, and outcomes., • Prioritize features based on user needs, business impact, and technical constraints., • Turn ambiguous problems into focused, executable releases., • Use customer feedback and product data to improve the product., • Partner closely with engineering and cross-functional teams., • Move quickly while maintaining a high standard of product quality.Required Skills, • Product Ownership & Execution, • Data-Driven Product Management, • Scope Triage & Prioritization, • Speed, • Ambiguity & Async ExecutionQualifications, • Experience as a Product Owner, Product Manager, or similar role., • Experience owning a live software product., • Strong product judgment and problem-solving skills., • Experience using KPIs, usage data, and customer insights., • Strong written communication and stakeholder management., • Comfortable working in fast-moving and ambiguous environments.Preferred, • Engineering or strong technical background., • Experience with AI/ML, LLMs, agents, data infrastructure, or analytics., • Experience taking products from 01 and iterating based on real-world usage.

Job Description Location: New York City Industry: AI / Recruiting / HR Tech Compensation: Competitive salary + meaningful early equity About the Company TalentPluto is an early-stage AI startup building an autonomous recruiting platform that rethinks how companies hire. Our AI agents conduct candidate screening calls, engage in real-time conversations with hiring managers, and orchestrate complex recruiting workflows using cutting-edge large language models, voice AI, and workflow automation. We ship quickly with real users, learn from feedback, and optimize for simple, pragmatic solutions. We operate with high trust, high ownership, and a strong focus on building tools that meaningfully improve how hiring gets done. The Opportunity We’re hiring our first Founding Engineer to help define TalentPluto’s technical direction and own major parts of the product and stack. This role is ideal for someone who enjoys building products end-to-end, working closely with founders and customers, and shaping both the architecture and the culture of an engineering organization from day one. You’ll design, build, and ship features across the stack, from data models and APIs to polished UI. You’ll also set the foundations for our infrastructure, processes, and best practices, and play a key role in hiring and onboarding future engineers. This is a broad, high-impact role for someone who wants ownership rather than a narrow “tickets” lane. Responsibilities • Design, build, and ship features across the stack, from backend data models and APIs to user-facing interfaces., • Collaborate directly with the founders and customers to turn fuzzy requirements into simple, shipped solutions., • Help choose core tools, frameworks, and architectural patterns for the platform., • Set up and maintain foundations for infrastructure, including CI/CD, observability, testing, security, and performance baselines., • Establish engineering best practices such as code review norms, testing standards, and release processes., • Contribute to building pipeline management UIs, multi-tenant systems, and integrations with payments and external services., • Help interview, hire, and onboard future engineers and contractors as the team grows., • Troubleshoot and resolve complex production issues, and contribute to documentation and internal tooling where needed. Requirements You may be a strong fit if you: • Have experience shipping real products end-to-end at a startup or small, fast-moving team., • Are comfortable working across the stack (frontend, backend, databases, and occasionally mobile)., • Enjoy owning problems, not just tasks, and care deeply about user outcomes., • Are comfortable working with ambiguous specs and iterating directly with founders and users., • Value clean, pragmatic engineering: tests, clear abstractions, and simple designs over unnecessary complexity., • Communicate clearly, give and receive feedback well, and collaborate effectively with non-engineers., • Startup experience. Technical requirements: • TypeScript or JavaScript, • React and Next.js (including App Router and Server Components), • Full-stack development across frontend, backend, and databases, • AI and LLM integrations (e.g., OpenAI, Anthropic, RAG, embeddings), • PostgreSQL and SQL, • System design and architecture (scalable, reliable services) Nice to have: • Exposure to AI, data, infrastructure, devtools, or voice/audio systems, • Comfort with our stack: React, TypeScript, Next.js, Node, Drizzle ORM, PostgreSQL, Trigger.dev, Retell, Twilio/Telnyx, Upstash, Vercel or AWS, • Experience setting up analytics, experimentation, or data pipelines, • Prior work on developer tools, internal tools, or reliability-critical workflows, • Experience with Slack/Discord bots or other conversational interfaces, • Familiarity with testing frameworks (e.g., Jest, Playwright)

Job Description Senior Full-Stack E-Commerce Technical Lead New York, NY 1-Year Contract Position Summary We are seeking a Senior Full-Stack E-Commerce Technical Lead to help build an enterprise-grade B2B e-commerce platform supporting a catalog of 1M+ products and integrations with TD SYNNEX, Microsoft Dynamics 365 Business Central, payment providers, shipping services, and other business systems. This is a hands-on technical leadership role. You will design the architecture, write production code, lead integrations, solve scalability and reliability challenges, review code, and mentor an existing developer. The goal is to deliver a production-ready platform within approximately 12 months through phased releases. Key Responsibilities Design scalable architecture for a large B2B e-commerce platform. Lead full-stack development across storefront, backend services, APIs, databases, search, and integrations. Design and implement TD SYNNEX integration, including product catalogs, pricing, inventory, orders, shipments, tracking, and error/retry handling. Architect and manage 1M+ product catalogs, including bulk imports, incremental updates, product data, pricing, inventory, caching, and validation. Build scalable enterprise search using technologies such as Elasticsearch, OpenSearch, Azure AI Search, or Algolia. Develop B2B commerce capabilities including customer/company accounts, roles, cart, checkout, quotes, POs, customer/contract pricing, credit terms, orders, shipping, tax, returns, and reordering. Integrate with Microsoft Dynamics 365 Business Central for customers, products, orders, pricing, invoices, payments, credit limits, shipments, and financial reconciliation. Develop secure and scalable REST APIs, background jobs, webhooks, queues, caching, logging, monitoring, and event-driven services. Design and optimize relational databases and large-scale data processing. Establish Azure cloud architecture, CI/CD, monitoring, security, backup/recovery, and disaster recovery. Ensure application security, including authentication, RBAC, API security, OWASP practices, encryption, audit logging, and PCI-aware payment architecture. Drive performance testing, scalability, integration testing, security testing, and production readiness. Conduct code reviews, mentor developers, and translate business requirements into technical solutions. Required Qualifications 7+ years of professional software development experience. 3+ years working on complex production web applications or e-commerce platforms. Strong full-stack, backend/API, SQL, and relational database experience. Experience integrating third-party APIs and designing scalable cloud applications. Strong knowledge of authentication, authorization, security, reliability, monitoring, and failure recovery. Experience with Git and modern CI/CD practices. Strong troubleshooting, production debugging, communication, and technical documentation skills. Ability to independently translate business requirements into technical solutions. Highly Preferred TD SYNNEX, Ingram Micro, or similar distributor integration experience Large-scale B2B e-commerce / 500K+ SKU catalogs Microsoft Dynamics 365 Business Central / Dynamics 365 Azure, Azure AI Search, Elasticsearch/OpenSearch, Redis, Azure Service Bus ERP, payment gateway, tax, and shipping integrations B2B purchasing, Net 30/credit accounts, customer-specific and contract pricing. Important This is not primarily a website-design or frontend-only role. We are looking for someone experienced in solving backend, integration, data, scalability, security, and production reliability challenges.

Job Description LM Studio is used by millions of people around the world to run AI on their own computers, and now with Bionic - also in the cloud. Our values prioritize putting the human in the center, and creating tools that we want to use ourselves, and recommend to our friends and family. As a team, we work with high technical intensity and personal responsibility. We are looking for curious, self-motivated, creative, and technically excellent teammates to join us and build the future of human-AI interactions in software. The Role As LM Studio’s Marketing Lead, you’ll own how we communicate what LM Studio can do and why it matters. You’ll stay close to our product roadmap to identify opportunities to educate people about the product and turn new capabilities into clear, timely stories. Your work will focus primarily on earned media. Qualifications Keen judgment and a sharp sense of what is relevant in AI, software, and developer culture High agency, with the ability to anticipate opportunities and take projects from idea to execution Technically curious and comfortable working closely with engineers, product teams, and sophisticated users Strong writer and storyteller who can make technical ideas clear, accurate, and compelling Experience marketing AI infrastructure, software tools, or technical products Proven track record of being a good poster Bonus Qualifications Experience with earned media, developer relations, community building, or product launches Existing relationships with AI labs, developers, creators, technical media, or ecosystem partners Responsibilities Craft LM Studio’s positioning, voice, and core narratives, and close the gap between what the product can do and what people know about it Work with engineering and product to translate new capabilities into stories and develop educational materials that resonate with technical and broader audiences Write and publish product announcements, blog posts, technical explainers, social posts, and launch materials Create product demos and videos that clearly show what LM Studio can do Own the editorial calendar and distribution across the LM Studio blog, Twitter/X, LinkedIn, Discord, YouTube, and other relevant channels Create high-impact collaborations with AI labs, technology companies, creators, and community partners that expand awareness and product adoption Benefits Competitive salary and equity grants Great medical, vision, dental healthcare plans Catered team lunch / expensed dinners in the office Flexible PTO Flexible WFH Sun-drenched office in SoHo in NYC Compensation Range: $150K - $250K

Job Description New York, NY · On-site (5 days/week) · Full-time Compensation: $125K–$175K + benefits About the Company Our client is a bootstrapped, highly profitable technology company building real-time, quantitative pricing and trading systems for a high-volume consumer marketplace. The platform continuously prices, bids on, and manages live inventory, so every system is financially live and mission-critical. It is an early, fast-moving team where an engineer's work has direct and immediate impact. Founded 2024 · Small team (fewer than 10) · Industry: AI, Ecommerce, Finance, Marketplace The Role You would be a versatile back-end-focused engineer maintaining and extending the real-time systems at the core of the platform: the pricing and bidding engines, data infrastructure, and the tooling that keeps production running. This is a build-and-maintain role on live systems, not greenfield research. What you'll be doing • Maintaining and extending core platform systems: pricing, bidding, and the data infrastructure behind real-time trading, • Building and managing data integration and mapping workflows that synchronize data across multiple sources, • Developing smaller systems and tooling to resolve production issues, • Building ML feature pipelines and integrating existing ML models into production, • Contributing across operations automation, platform features, and data infrastructure on two-week sprints Tech stack: Python, with a major cloud platform (AWS or GCP) Requirements • Bachelor's degree in Computer Science or a related STEM field, • 0 to 2 years of software engineering experience with a back-end focus, • Hands-on experience building or maintaining data pipelines or data infrastructure, • Experience with platform systems or operations automation, • Able to integrate existing ML models into production systems, • Able to work on-site five days a week in New YorkNice to Haves, • Strong internship experience (recent graduates are welcome to apply), • Familiarity with a major cloud platform such as AWS or GCPWhy Join, • Join a very small, profitable team where your work directly powers the core product, • Build and operate real-time systems that are financially live and mission-critical, • Work with modern, AI-native developer workflows and production ML from day one, • Competitive base salary plus 401(k) match and a monthly healthcare contributionDetails, • Location: New York, NY, • Work policy: On-site, 5 days/week, • Compensation: $125K–$175K + benefits, • Visa sponsorship: Not available for this role; candidates must be authorized to work in the US without sponsorship, • Employment type: Full-time

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: Senior Software Engineer, Full Stack (Python, Java, Rust, C#, C++) Type: Contract Compensation: $90–$110/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Build and ship full-stack applications, services, and internal tools in Python, Java, Rust, C#, C++, or TypeScript that exercise frontier model capabilities end to end., • Integrate pre-release model APIs into working software, including tool interfaces, evaluation harnesses, and telemetry., • Diagnose and document model and integration failure modes, translating engineering observations into clear written feedback for the research team., • Prototype quickly against shifting requirements, delivering working increments with limited up-front specification., • Collaborate with the engineering manager and other engineers to maintain consistency in code quality, architecture, and technical documentation., • Work independently and asynchronously to meet deadlines while improving AI model performance. Qualifications Must-Have • 6+ years of dedicated professional experience building and shipping production software at a recognized, top-tier organization., • Deep production experience in at least one of Python, Java, Rust, C#, or C++, plus demonstrated delivery in a second language across a different ecosystem., • Hands-on ownership across the stack: backend service and API design, a modern front-end framework (React or equivalent), data modelling, and cloud deployment and operations., • Demonstrated ability to onboard onto an unfamiliar codebase and deliver working code quickly with minimal ramp-up., • Strong written communication skills and the ability to explain complex technical decisions clearly., • Ability to engage reliably for at least 40 hours/week during weekdays. Compensation & Legal • W-2 employment with Cincinnatus LLC., • Paid weekly via payroll. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form 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 Vidmob is the creative data company. Its scoring software and analytics have become an essential ingredient in the creative and media decisions of the world’s largest marketers and agencies, as they strive to drive business results through improved creative effectiveness. As the leader in creative data, Vidmob’s influence lies in its partnerships and integrations across the digital ad ecosystem, its dozens of proprietary models, and in operating the industry’s most robustly instrumented human-reinforcement learning model for creativity. Principal Product Manager, Data and Recommendations The Principal Product Manager will lead Vidmob’s data, recommendations, and composable platform strategy. This role will shape how Vidmob turns creative and performance data into actionable guidance that makes that intelligence available wherever customers and partners need it through applications, APIs, MCP tools, and agents. This is a technical product role spanning data products, AI-enabled recommendations, developer platforms, and partner integrations. It’s particularly important for candidates to have experience building recommendation systems driven by enterprise data and an array of AI/ML techniques. We are an AI-first product organization, and every team member is expected to use AI tools directly to accelerate discovery, analysis, prototyping and delivery. This role is based in our Midtown NYC office with periodic in-office presence averaging about 30% over any given month. What You’ll Do Own the product vision, roadmap, and delivery for Vidmob’s creative data, recommendation, API, MCP, and agent capabilities. Advance Vidmob’s composable platform strategy: making our data, intelligence, and recommendations available across customer, partner, and AI workflows. Define how Vidmob transforms creative, media, brand, platform, and performance data into ranked, explainable, and actionable recommendations. Build products for both human and machine consumers, including enterprise workflows, structured APIs, developer tools, and agentic systems. Partner closely with engineering and data science on data models, recommendation logic, system architecture, evaluation, and technical tradeoffs across quality, latency, and cost. Establish standards for grounding, confidence, explainability, provenance, actionability, and constraint adherence. Design reinforcement learning loops to power continuous platform improvement. Support integrations with media platforms, creative platforms, agencies, AI providers, and marketing infrastructure. Use AI tools directly across research, requirements, prototyping, analysis, testing, documentation, and product operations. Drive adoption of capabilities with customers and partners, not just delivery. What You Bring 8+ years of product management experience in B2B SaaS or DaaS, including at least 3 years at a staff or principal level. Proven experience building and productizing AI/ML-powered recommendation systems, including model evaluation, quality measurement, and reinforcement learning. 3+ years experience in ad/martech or a data-heavy vertical. Strong experience with data products or developer platforms. Proven success taking technically complex products from strategy and architecture through delivery, adoption, and iteration. Deep technical and product fluency across APIs, MCP tools, data models, and AI/ML products. Familiarity with generative AI, large language models, agents, retrieval and grounding, evaluation methods, and probabilistic system behavior. Aggressive use of AI tools to accelerate product work and experimental mindset on finding new ways to use AI to improve speed and quality. Hands-on ability to perform lightweight data analysis using SQL, Python, and related tools to investigate product behavior, test hypotheses, and inform decisions. Excellent communicator across functions and levels, from engineers to executives to external partners Customer-first orientation—you translate discovery into action, and can handle feedback with empathy, urgency, and clarity A calm, positive presence even in complexity—able to drive outcomes without drama Compensation $210-$230k + Offers Equity Please be aware that Vidmob will only contact candidates through emails ending in @vidmob.com. We will never ask for personal information, such as your Social Security number, bank account number, or password, through email. If you receive an email claiming to be from Vidmob that does not come from a @vidmob.com email address, or if the email asks for personal information, please do not respond and report the email to us at IT@vidmob.com Compensation Range: $210K - $230K

Job Description About Genius Business Solutions Inc. (GBSI) Featured in CNBC, Digital Journal, Fox News, and CIO Review, GBSI is a globally recognized IT services leader with 20+ years serving Fortune 500 organizations. Our teams deliver solutions across automotive, manufacturing, retail, and pharmaceutical industries. Headquartered in Moline, IL, GBSI supports clients and consultants throughout the US, Canada, Europe, and India. Join our innovative team to lead enterprise-grade SAP solutions and drive digital transformation initiatives across global enterprises. Job Summary We are seeking a to bring on Java Developer to complement our existing talent. The ideal candidate is passionate about Java development, eager to learn, and ready to contribute to real-world enterprise applications from day one. You will be supported and mentored by our senior developers as you grow your skills across Spring Web, Spring Batch, Kafka, and microservices. We embrace a modern, AI-assisted development culture and encourage our developers to leverage the latest AI tools to boost productivity and code quality. Responsibilities • Develop and maintain Spring Web and Spring Batch applications., • Support integration efforts with Kafka and other messaging systems., • Contribute to microservices development and distributed system concepts., • Take ownership of assigned tasks and deliver features within agreed timelines., • Participate in code reviews and apply feedback to improve quality., • Assist in debugging and troubleshooting production/testing issues., • Maintain technical documentation for features developed., • Utilize AI-powered tools (GitHub Copilot, etc.) for code generation, debugging, and documentation. Required Skills & Experience • Basic to intermediate proficiency in Java and familiarity with the Spring Framework., • Understanding of OOP, data structures, and design patterns., • Familiarity with RESTful APIs and web service interactions., • Basic experience with Git or other version control tools., • Strong communication skills and ability to work effectively in a team., • Proactive attitude with a willingness to learn and grow. Nice to Have • Exposure to Kafka or other messaging systems., • Awareness of microservices architecture or distributed systems., • Familiarity with Docker, Kubernetes, or cloud platforms (AWS)., • Experience with CI/CD pipelines or DevOps practices. Added Advantage – AI-Assisted Development • Experience using GitHub Copilot or similar AI coding assistants., • Leveraging AI for code reviews, test case generation, documentation, and debugging., • Comfort with adopting new AI models and tools to enhance productivity. Preferred Qualifications • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience)., • 10+ years of relevant Java development experience (internships and academic projects considered)., • Exposure to Agile/Scrum methodologies., • Hands-on experience with AI coding tools (GitHub Copilot, ChatGPT, etc.) is a bonus. Equal Employment Opportunity GeniusBSI is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.

Job DescriptionCompany Description VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Job Description Versant’s Software Engineering team provides core services to our business, underpinning our strategy and execution of linear & digital distribution of content, platforms, and data. As a Developer for Workplace Integrations, you will build and implement feature rich tools and services that empower our employees in their day-to-day experiences at Versant. Utilizing automations and AI-driven engagement experiences throughout our employee experiences, this role will focus on connecting collaboration, communications, security and workplace technologies through cohesive frameworks and data services. You will coordinate closely with our leadership team to understand real employee workflows and friction points in order to design & deliver simple, working integrations that improve employee experience. Examples include wiring notifications into collaboration tools, automating workflows across workplace systems, or bridging physical systems with digital platforms. This role is hands-on and execution focus, developing backend services and client integrations to supplement our workplace applications and provide an enriched experience for our teams at Versant. Working through iterative development practices, from prototyping to production deployments, you will have opportunity to ship workplace solutions quickly and reliably. Key Responsibilities • Develop API-first workflow integrations for workplace applications & AI tooling, providing search capabilities, production workflows, and automations., • Provide client interfaces and frameworks to create dashboards, visualizations, and supplemental tools to reduce process complexity., • Implement service integrations for CI/CD & automation, providing status and messaging across internal platforms for visibility and metrics gathering., • Collaborate closely with Product Management and Engineering leadership to define actionable development tasks from user requirements.Qualifications, • Demonstrated experience building and delivering software solutions, ideally in environments focused on user workflows or internal tools., • Experience working in Agile development practices, and a strong understanding of SDLC & development best practices., • Strong full-stack development skills:, • Backend & integration development in Node with TypeScript and JavaScript, • Client frameworks such as Vue.js, React, and Angular, • Productivity & communication tools like Slack, • Experience designing and implementing API-first integrations, webhooks, and event-driven workflows., • Hands-on experience with CI/CD tools & automations, such as GitHub Actions or Jenkins., • Background in cloud based environments like AWS, Azure, or GCP., • Understanding of application architecture fundamentals, especially serverless & event-driven systems., • Strong understanding of security practices, and familiarity with authorization flows & user governance. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to candidateaccessibility@versantmedia.com. VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job Description About Alpaca Health Alpaca Health enables clinicians to become entrepreneurs, starting in autism care. We help clinicians launch and scale their own clinics by providing AI-powered software, payer contracting, and full back-office infrastructure. Our goal is simple: use technology to make business ownership possible for every passionate provider. We've raised over $14M in funding from early-stage investors like Core Innovation Capital, Adverb Ventures, and South Park Commons, and are building for long-term category leadership. More importantly, we're serving hundreds of patients, while growing 30% MoM. This role is full-time. We’re looking for candidates based in New York City or San Francisco, excited about a 5 days in-office culture. Both founders are technical. Every engineer on the team has experience at early-stage startups. Several have built products from zero to scale, and one previously founded a YC-backed company. We care deeply about engineering quality, ownership, and building systems that correctly model reality. We do not have layers of management, architecture committees, or roadmap bureaucracy. Engineers talk directly to customers, make technical decisions, and ship. Role: Senior Software Engineer We're a tiny engineering team building something large. You'd be the person who owns the platform foundation — the data models, the money logic, the state machines, the API contracts, the AI infrastructure. Not "owns" in the sense of reviewing PRs. Owns in the sense of: you designed it, you built it, you stand behind it. One day you're designing a schema migration strategy. The next you're building an LLM pipeline for clinical documentation. The day after that you're debugging a billing edge case that only appears when Colorado Medicaid is the secondary payer. This isn't a job for someone who wants to specialize. It's a job for someone who gets uncomfortable when critical business logic lives in someone's head instead of in code. What You’ll OwnAI-Native Clinical Workflows We're rethinking healthcare software from the ground up with AI built into the core experience. You'll help build products that assist with clinical documentation, treatment planning, reassessments, supervision, and administrative work, giving providers more time to focus on patient care. Revenue & Payments Infrastructure Healthcare is ultimately a complex flow of money. You'll own systems that determine how services are authorized, billed, adjudicated, and paid, ensuring providers get paid accurately and on time while maintaining trust in the platform. Provider Business Operations Starting a healthcare practice today is painfully manual. Build the tools that make credentialing, contracting, compliance, payroll, scheduling, and staffing feel effortless, allowing clinicians to focus on growing their practices instead of managing paperwork. Patient & Family Experiences Design the products families interact with throughout their care journey, from intake and onboarding to scheduling, communication, progress tracking, and payments. You'll help create experiences that make accessing care dramatically easier. Internal Automation Systems Much of healthcare still runs on spreadsheets, inboxes, and manual workflows. You'll build software and AI systems that automate operational work across credentialing, billing, authorizations, and care coordination, enabling a small team to support thousands of providers. Platform Foundations You'll also own the underlying systems that make all of this possible: data models, APIs, security, compliance, reliability, AI infrastructure, and production systems. We expect engineers to own products end-to-end, from the database schema all the way to the user experience. Who You Are You've built in environments where mistakes matter. Whether in fintech, healthcare, insurance, logistics, or another operationally complex domain, you've worked on systems where data integrity, money movement, and business rules couldn't be treated as an afterthought. You think in systems, not features. When someone describes a workflow, you naturally start modeling states, transitions, invariants, and edge cases. You enjoy turning messy real-world processes into clean software abstractions. You have strong product instincts. You care about the user experience as much as the implementation. You can sit with a provider, understand their pain points, and translate them into software that feels simple despite complex underlying logic. You thrive in ambiguity. You don't need a fully written PRD to get started. You're comfortable taking a loosely defined problem, identifying the important questions, proposing solutions, and driving execution. You operate with high ownership. You don't think of your job as writing tickets. You think of your job as making a problem disappear. If something is blocking the business, you'll figure out how to solve it regardless of where it falls on the org chart. You are AI-native. You actively use AI in your day-to-day workflow and are constantly experimenting with new ways to increase leverage. You're excited about what software development, operations, and healthcare workflows look like when AI is a first-class primitive rather than an add-on. You balance speed with judgment. You know when to move fast and when to invest in foundations. You can build quickly without leaving behind a trail of technical debt that someone else has to clean up later. You enjoy learning complicated domains. Healthcare is full of exceptions, regulations, payer rules, credentialing requirements, and operational edge cases. Rather than finding that frustrating, you find it intellectually interesting. You still love writing code. You're experienced enough to lead major technical decisions, but you haven't lost the desire to build. You want to spend your time creating products and systems, not managing process. Nice to Have Experience building AI-powered products in production Experience with LLM workflows, agents, evals, or developer tooling Experience modeling complex operational or financial systems Healthcare, EHR, insurance, or revenue cycle experience Experience at an early-stage startup where you owned large parts of the product Why Join Now The decisions made in the next year — how the domain model is structured, how state machines are enforced, how AI workflows are built safely — will define the system for a long time. You'd be joining after product-market fit but before the platform has fully caught up to the business. Not "rescue a failing system." Build the foundation that lets a working, fast-growing system scale correctly. Founding engineer autonomy, real ownership, and a company that's clearly on its way somewhere. Compensation Range: $120K - $200K

Job Description Kasisto is seeking a creative and resourceful Solution Architect to work with customers on the design, development, and deployment of agentic applications for financial services. This hands-on role will include integration with enterprise systems, knowledge sources, communication channels, and analytics tools as part of the end-to-end solution. We will consider only candidates who reside in New York, New Jersey, Massachusetts, Georgia, or Texas. Key Responsibilities • Act as a trusted advisor, guiding customers on implementation options and deployment activities., • Lead the discovery process with customers to capture their technical requirements and business objectives., • Drive consensus with the customer on the proposed approach and timeframe., • Identify and craft requirements for capabilities that need to be created as part of the recommended solution., • Participate in project-specific development activities, either as the primary developer or contributing to a team effort., • Assist with validation of the complete solution in development, staging, and production environments., • Monitor and optimize deployments in response to evolving business needs., • Create and maintain the documentation archive specific to each implementation. Required Skills, • At least 3 years of hands-on experience in solution architecture and integration, preferably in the financial services industry., • Experience implementing solutions incorporating AI, ideally agentic AI in a production environment., • Working knowledge of the regulatory, security, and governance needs of financial institutions., • Strong ability to communicate clearly with technical and non-technical stakeholders from the trenches to the C-suite., • Proficiency with AWS and Azure environments., • Capable of building production-ready scripts or code for data manipulation and API integration, either directly or using AI tools., • General knowledge of Java or Python sufficient for building, enhancing, and debugging proprietary tools., • Comfortable with solving problems in a complex and ambiguous context., • Willingness to "wear many hats" and "roll up your sleeves" as is common in a fast-paced, nimble company such as ours., • Bachelor's degree in Computer Science, Engineering, or a related field.Desired Skills, • Experience with banking platforms such as Candescent, Q2, FIS, and Jack Henry., • Familiarity with voice systems and modern telephony., • Understanding of contact center architecture and operations., • Conversational Spanish fluency, ideally as a native speaker.What We Offer, • Base salary of $120,000 to $140,000, commensurate with experience., • Comprehensive benefits package., • Collaborative work environment within a small team focused on delivery projects., • Hands-on experience with leading AI technology., • Unfortunately, we are unable to provide visa sponsorship now or at any time in the future, and relocation assistance will not be provided.About Kasisto Kasisto delivers AI you can bank on. We enable financial institutions around the world to deploy intelligent digital agents that are trusted, compliant, and deeply knowledgeable about assisting both employees and customers. Our agentic AI platform, KAIgentic, allows organizations to tap into a wide range of knowledge sources and integrate with their operational infrastructure, enabling conversational assistance through websites, mobile apps, and voice communications.

Job Description Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: We are looking for a Head of Data Platform to lead Alpaca's growing Platform Engineering team. You will own the data strategy, the team's execution, and the department's roadmap. The Data department serves every function at Alpaca: it powers partner invoicing and revenue attribution, provides the analytical foundation for sales, product, and compliance, and operates the data platform that processes hundreds of millions of events daily. You will manage three team leads, balancing operational delivery (invoicing, embedded analytics, regulatory reporting) with strategic bets (self-service warehouse, AI-powered analytics, enterprise search). This is a player-coach role. You will set direction for the team while staying close enough to the technical details to make architecture decisions, unblock your leads, and represent data's capabilities to the executive team. Things You Get To Do: • Lead and develop Platform Engineering & ETL, • Manage leads, set priorities, and ensure delivery., • Own the Data Lakehouse architecture: Trino, Iceberg/GCS, Airflow, Airbyte, Redpanda CDC, dbt., • Make build-vs-buy decisions on tooling., • Drive partner invoicing accuracy and evolution: ensure invoicing logic is versioned, reproducible, and scales with new pricing mechanisms and product launches., • Deliver embedded analytics: expose warehouse data to partners via BrokerDash, SSR pipelines, and API-based reporting. Own row-level security and entitlements., • Support product launches with data change management: coordinate data impact analysis for new products (fixed income, global stocks, perps, 24/5 trading) across downstream datasets, dashboards, and reverse ETL., • Accelerate self-service: move the organization toward self-serve analytics via semantic layers, data catalogues, and conversational BI so the data team can shift from ad-hoc queries to strategic projects., • Guide AI/ML enablement: oversee enterprise AI search, agent-based workflow automation, and LLM-powered analytics. Help balance vendor solutions with in-house development., • Collaborate with Finance, Sales, Product, Compliance, and Customer Success to translate business needs into data products., • Manage infrastructure costs: keep data + cloud cost ratio under target as AUC grows., • Operate production systems: own on-call processes, incident response, and SLOs for data freshness, accuracy, and availability. Who You Are (Must-Haves): • 8+ years in data engineering, including 3+ years managing data teams (leads + ICs)., • Deep experience with modern data stack: dbt, Trino/Presto or equivalent query engines, Apache Iceberg or similar table formats, cloud object storage., • Hands-on experience with ETL/ELT patterns at scale: CDC (Debezium/Kafka), batch (Airflow/dbt), streaming, and reverse ETL., • Track record of building self-service analytics capabilities for non-technical stakeholders., • Experience with financial data: trading, invoicing, revenue attribution, or regulatory reporting in fintech or financial services., • Proficiency in Python and SQL. Comfortable reading code, reviewing PRs, and making architecture decisions., • Experience managing distributed/remote teams across multiple time zones., • Strong stakeholder management: you can translate between executive priorities and engineering execution., • Experience with GCP (GKE, GCS, BigQuery migration), Kubernetes, Helm, Terraform. Who You Might Be (Nice-to-Haves): • Experience with brokerage or broker-dealer operations (clearing, settlement, market making, reconciliation)., • Familiarity with LLM/AI tooling: MCP, vector databases, enterprise search, conversational BI (WrenAI, Cube)., • Background in compliance analytics (AML/Actimize, KYC, margin calls)., • Exposure to open-source data catalogues (OpenMetadata, Collate) and data quality frameworks.How We Take Care of You:, • Competitive Salary & Stock Options, • Health Benefits, • New Hire Home-Office Setup: One-time USD $500, • Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Job Description Senior .NET Engineer (multiple) U.S.-Based Applicants Only authorized to work for any employer (NO Sponsorship Provided) Referral Bonus Available – bring a friend! TeamBuilder is a rapidly growing healthcare SaaS company on a mission to modernize healthcare scheduling and workforce management. We are builders, executors, and big thinkers who want to solve real world problems. We win as one team. We’re actively looking for multiple Senior .NET Engineers who want to take your engineering team to the next level. The ideal candidate thrives in a growing, tight-knit, fast paced environment and has experience scaling from zero to hundreds of thousands of users efficiently and cost effectively. Key personal attributes · Quick study who can hit the ground running · Strong critical thinker that can balance competing priorities · Comfortable presenting, and pressure testing ideas · You take pride in the quality and resiliency of your code - even when using AI · You lead by example (not just by title) · Equally committed to making your teammates successful (as yourself) · Comfortable navigating uncertainty and trying new approaches · You care as much about optimization, reliability and scalability as you do about building new things · You like to ship working solutions with modern technology without overengineering Required skills/experience/qualifications · Excellent written and verbal communication skills · Experience working in teams with a mixture of onshore/offshore contributors · A strong individual contributor but also able to effectively coach and unlock others · Bachelor's degree in Computer Science, Software Engineering, or related field · In-depth understanding of software engineering design and architectural patterns, including microservice architectures · Adept at applying GenAI workflows to enhance your software development and testing efforts · 8+ years’ professional experience with .NET stack (C#, .NET, Entity Framework), SQL, and Redis · 3+ years experience working with SignalR and Distributed Event Bus · 3+ years' experience implementing Domain Driven Design (DDD) patterns · 3+ years experience configuring and maintaining Microsoft Azure cloud services · Advanced understanding of and ability to effectively use Git to manage code in a multi-developer environment · Strong familiarity using and configuring CI/CD pipelines, ideally in Microsoft DevOps Nice to have · You’ve come from a start-up that serves large enterprise clients · Master's or other postgraduate degree · Some exposure to machine learning / AI · React / NextJS frontend skills · Big data / analytics Principal duties and responsibilities · Help drive technical excellence and standards within the team · Develop well-written and documented code in both existing and new systems and platforms · Support ongoing monitoring, maintenance and support of key infrastructure · Design and apply manual tests and test-automation suites to minimize defects · Provide sound recommendations on architectural choices leveraging significant prior experience and analysis of technical/business goals · Develop well-written technical documentation to clarify requirements, improve code traceability, and enable cross-pollination of knowledge · Apply good practice methodologies and techniques, such as story points, to quantify and estimate effort as accurately as possible · Consistently attend sprint planning and stand-up calls to ensure alignment of priorities and effective troubleshooting support · Proactively communicate feedback, issues, risks and status in a timely manner · Assist in the training and development of other engineers · Collaborate cross-functionally with product owners, data scientists, business users, project managers, and other engineers to achieve overall engineering and company goals effectively and in a timely manner · Research and learn new technologies as needed to deliver technical solutions · Actively participate in retrospectives of work done that assess code quality, system design, infrastructure, development processes, or client and consumer concerns Compensation / Benefits Powered by JazzHR azf7ADhdlq

Job Description Role: AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough. #ZR