> Markdown version of [/jobs/ext/3701078-founding-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3701078-founding-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Founding AI Engineer - **Company:** PEOPLE INC. - **Location:** New York, NY, United States (Remote available) - **Salary:** $200,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Analysis, Operational Data Store, Software Engineering, Software Systems, Data Representation, Backend, Agentic-AI, Build Management - **Published:** October 12, 2026 - **Apply:** https://www.juju.com/job/2_163727437 ## About the Role * Evidence that you personally owned important parts of systems rather than operating within a narrowly defined silo. * Experience in an early-stage or fast-moving startup environment where breadth, speed and judgement matter. * Ability to move comfortably between AI, software, data and product problems as the situation demands. * Strong communication skills and the ability to work directly with customers on ambiguous business and technical problems. * High learning velocity, strong technical judgement and a genuine preference for ownership over narrowly scoped execution. ## Description You will own substantial pieces of customer delivery while contributing to the core platform underneath those deployments. That means understanding messy enterprise systems, defining what should be built, architecting the solution and shipping production agentic systems that solve real business problems. Over time, the expectation is that you can independently take a high-level customer objective and turn it into a robust technical product. What You'll Do * Build and deploy production AI agents that automate complex enterprise workflows. * Own technical problems from customer discovery and source-system analysis through architecture, implementation and production. * Integrate fragmented operational data and software systems into reliable foundations for AI applications. * Design solutions that can be reused and scaled rather than treating every customer deployment as one-off consulting work. * Contribute to core platform problems around business context, data representation, agent orchestration and autonomous execution. * Partner directly with customers to understand requirements, challenge assumptions and identify the data or system changes needed to deliver. * Take significant ownership with limited hand-holding while collaborating closely with a small engineering team., * Strong backend software engineering skills, ideally combined with applied ML or modern AI engineering experience., * Join at the point where commercial demand is scaling faster than the engineering organisation, creating unusually high ownership and product influence. * Work on technically difficult agent, data and enterprise-system problems that are tied directly to measurable customer outcomes. * Build the breadth required to operate like a future technical founder while learning alongside a small, experienced team and sharing in the upside through equity. xrbllit