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Tenex is seeking a production AI engineer in New York to ship production AI systems, work directly in client codebases, and publish educational content for operators and founders. You’ll own features end-to-end, lead workshops, and collaborate with co-founders to turn insights into scalable, auditable workflows.
You’ll use frontier tools and drive adoption across client engagements. Join a fast-moving team that combines strategy, engineering, and storytelling to deliver real transformation with
Tenex is where builders, operators, and problem-solvers come together to help the world’s most ambitious companies go from AI-absent to AI-native. We work at the intersection of strategy and engineering, embedding elite AI SWAT teams directly into organizations to turn complex, high‑stakes problems into real, measurable outcomes. We don’t do slide decks and hand-offs; we sit in the trenches alongside our clients to build & drive real transformation. We operate with the speed of a startup and the rigor of a storied institution. Our culture is built on intellectual curiosity, radical ownership, and a belief that exceptional work comes from diverse teams who are empowered to challenge assumptions, move fast, and hold each other to a higher standard. If you want to work on projects that actually matter, alongside people who push you to be your best, Tenex is the place to do it.
This role sits at the intersection of engineering and storytelling. You’ll ship production AI systems — walking into client codebases and delivering working AI workflows that change how organizations operate — while documenting the work publicly. You’ll build with frontier AI tools (Claude Code, Codex, Gemini, Cursor), own features end‑to‑end from architecture through deployment and client relationships, and turn what you learn into educational content for operators and founders. You’ll lead customer workshops ranging from hackathons to function‑specific training, and report directly to co‑founder Alex Lieberman. The emphasis is on production systems that run independently and on content that moves audiences from observers to operators.