[All remote jobs](https://jobicy.com/jobs.md)Open role[![YipitData logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/e1bee9df-221.jpg)](https://jobicy.com/company/yipitdata.md)Remote opportunity at[YipitData](https://jobicy.com/company/yipitdata.md) # Staff Software Engineer, AI Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/yipitdata.md)Share31 Aug 2026Published48Listing views5Application actions30 Sep 2026Apply before Opportunity details ## About this role. AI SummaryYipitData is seeking a Staff Software Engineer to build and operate production AI agent systems and analytics experiences for corporate customers. The role spans full-stack development, including TypeScript, Python, React, APIs, AWS, distributed systems, observability, and modern data platforms. This engineer will own systems end to end, collaborate directly with product and business stakeholders, and balance rapid AI prototypes with reliable production architecture. Success requires substantial experience with LLM-powered products, agent loops, MCP integrations, custom tools, and AI-assisted engineering workflows. The position is remote within the United States and emphasizes ownership, responsiveness, customer focus, and clear communication under pressure. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior staff-level role requiring broad technical depth across full-stack and distributed systems engineering as well as practical expertise shipping reliable AI agent products. The engineer must independently define ambiguous solutions, operate production-critical systems, and communicate technical tradeoffs to non-technical stakeholders. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$190,000US market range$180k–$250k0$275k AI insightThe disclosed annual on-target earnings range is $180,000 to $200,000 USD, with a midpoint of $190,000. For a US-based Staff Software Engineer specializing in full-stack AI/LLM systems, an estimated competitive market range is approximately $180,000 to $250,000 USD annually; total compensation can vary further based on equity, location, and scope. ## Core skills Skills and capabilities most closely associated with this opportunity. [Staff Software Engineering](https://jobicy.com/jobs?search_keywords=Staff%20Software%20Engineering.md)[AI Agents](https://jobicy.com/jobs?search_keywords=AI%20Agents.md)[LLM Applications](https://jobicy.com/jobs?search_keywords=LLM%20Applications.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[TypeScript](https://jobicy.com/jobs?search_keywords=TypeScript.md)[React](https://jobicy.com/jobs?search_keywords=React.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Distributed Systems](https://jobicy.com/jobs?search_keywords=Distributed%20Systems.md)[API Design](https://jobicy.com/jobs?search_keywords=API%20Design.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md) Sample interview questionsDescribe a production AI agent system you built and how you measured its quality, reliability, latency, and cost.I would explain the agent's user workflow, tool architecture, model selection, and guardrails, then describe measurable service-level objectives such as task success rate, groundedness, latency percentiles, tool failure rate, and cost per successful task. I would also cover evaluation datasets, tracing, human-feedback loops, and the operational changes made from observed failures. How would you design an agent that answers retailer analytics questions using proprietary data while preventing unsupported conclusions? I would use a retrieval and tool-calling architecture in which the agent queries governed analytics services rather than relying on model memory. The response would include source references, validation of metric definitions and time windows, confidence-aware fallbacks, permission checks, and observability for every retrieval and tool invocation. How do you decide when to build a quick proof of concept versus a scalable production service? I start by clarifying the uncertainty being tested, the target users, and the cost of being wrong. For a POC, I optimize for learning with explicit limitations; once value and workflow fit are validated, I define reliability, security, observability, ownership, and performance requirements before hardening the service for production. Tell us about a time you translated an ambiguous stakeholder request into a successful technical solution. I would describe how I uncovered the underlying business decision, mapped users and constraints, proposed options with tradeoffs, and aligned stakeholders on a measurable first release. I would emphasize maintaining regular communication, using early demos to validate assumptions, and iterating from user feedback after launch. What practices would you use to keep a full-stack AI product reliable in production? I would implement structured logging and distributed tracing, health checks, error budgets, automated testing across APIs and agent tools, safe retries and idempotency, feature flags, and monitored deployments. For AI-specific reliability, I would add prompt and model versioning, evaluation suites, input/output guardrails, fallback paths, and cost and latency monitoring. About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture—recognized by Inc. as a [Best Workplace](https://www.inc.com/profile/yipitdata) for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: * Ownership That Matters: You’ll lead high-impact projects with real business outcomes * Rapid Growth: We compress years of learning into months * Merit Over Titles: Trust and responsibility are earned through execution, not tenure * Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention If your ambition is matched by your work ethic—and you’re hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for. About The Role: We’re looking for a seasoned Staff Software Engineer, to help develop our rapidly growing platform for our Corporate organization. This team builds AI-enabled products and analytics experiences used by major US retailers and brands to better understand their shoppers, market share, and competitive positioning through our analytics portal and Insight Agent offerings. The ideal candidate possesses 7+ years of architecting and developing full-stack applications, strong experience building high-quality user experiences and scalable distributed systems, and 5+ years working with technologies such as Python, React, AWS, and modern data platforms. They should have a strong understanding of application architecture, APIs, observability, messaging and workflow patterns, and how infrastructure decisions impact the systems they build. They should also have hands-on experience building LLM-powered products and Agent Experiences, including designing Agent Loops, integrating MCP, and developing custom tools. You’ll be responsible for production AI Agent systems that our customers and internal teams depend on daily. That means being responsive, reliable, and an excellent communicator — both when things are going well and especially when they’re not. The ideal candidate treats AI coding tools as core infrastructure for how they work — not a novelty. You’ve shipped full-stack applications, you’re comfortable navigating ambiguity, and you are customer-obsessed in your approach to improving software. This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one of our office hubs, or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding. As Our Staff Software Engineer You Will: * Own features and systems end-to-end for our Corporate Insight Agent — from requirements gathering and solution design through implementation, deployment, and iteration * Serve as a subject matter expert across the stack, reporting to the Head of Corporate Applications, who will provide hands-on mentorship in AI-native development, systems design, front-end development, and cloud infrastructure * Collaborate closely with Corporate Product Management and business stakeholders to identify opportunities, shape requirements, and revamp critical business processes * Drive initiatives proactively — you won’t be waiting for fully written specs; you’ll help define what gets built, why it matters, and how to execute effectively * Balance rapid prototyping and long-term engineering rigor, knowing when to build lightweight POCs to validate market fit versus scalable, maintainable production systems * Iterate closely with users and stakeholders, incorporating feedback quickly while maintaining a strong engineering bar for quality, reliability, and observability * Leverage AI tools like Claude Code, Cursor, and Codex to improve productivity and ship trustworthy solutions faster through strong engineering practices, code quality, and documentation You Are Likely To Succeed If: * You have 6+ years of hands-on software development experience with a proven track record of shipping customer-facing applications — and the impact to show for it * You have hands-on experience building production AI systems and a strong understanding of how to optimize AI agents for quality, reliability, latency, and cost * You are stack-flexible: comfortable working across TypeScript, Python, React, APIs, distributed systems, and cloud infrastructure. You learn new tools quickly and don’t let unfamiliar technology slow you down * You have strong full stack engineering fundamentals, including experience building high-quality user experiences, scalable backend systems, observable services, and reliable workflows * You have an AI-accelerated workflow — you actively use AI coding tools to improve output and ship faster, not as an experiment, but as part of your day-to-day engineering practice * You are passionate about technology and continuously stay current with emerging trends, tools, and engineering practices that improve product quality, team velocity, and developer effectiveness * You care deeply about craftsmanship and user experience, with a passion for delivering polished, high-quality solutions that delight users * You are a strong communicator who can work directly with non-technical stakeholders, translate business needs into technical solutions, and clearly explain engineering tradeoffs * You are responsive and reliable — you take ownership of production systems and communicate proactively, especially under pressure * You hold a Bachelor’s or Master’s degree in Computer Science, STEM, or a related technical discipline What We Offer: Our compensation package includes comprehensive benefits, perks, and a competitive salary: * We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more! * Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above! * The annual on-target earnings for this position is anticipated to be up to $180K ~ $200K. The final offer may be determined by a number of factors, including, but not limited to, the applicant’s experience, knowledge, skills, abilities, as well as internal team benchmarks. This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, and Mountain View. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding. Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship. Show more [Apply now >](https://jobicy.com/jobs/152181-staff-software-engineer-ai.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. 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