AI Engineer
Thesiscareers · New York, NY
About this role
**AI Engineer** **About Us** At Thesis, we believe everyone should have the opportunity to meet their potential. We build nootropic supplements and customer experiences that help people find the right support for their goals. Across Thesis and Stasis, we’re changing how our company works. Our teams use AI to develop creative, research customers, build digital experiences, analyze performance, and reduce repetitive operational work. We’re looking for an engineer who can turn those experiments into reliable systems that people use every day. **About the Role** We’re looking for an **AI Engineer** to build the agents, integrations, and internal tools that help a small team accomplish more. You’ll work with **Data, Engineering, Growth, Creative, and Operations** to find valuable problems, prototype solutions, and own them through deployment, adoption, and ongoing improvement. This is a hands-on software engineering role focused on applied AI. You’ll build with existing models, connect them to our tools and knowledge, and make their outputs useful and trustworthy. You should be comfortable debugging API integrations as well as designing agent workflows—and care about whether your work saves time, improves decisions, or helps the business grow. We already have AI-assisted workflows and a shared Claude skill and knowledge system. You’ll build on that foundation, making successful workflows easier to reuse and bringing production engineering to the parts that need it. --- ## How You’ll Make an Impact ### Build agents that do useful work - Design and ship agents that retrieve information, use tools, and complete multi-step tasks across our business systems. - Connect workflows across tools such as Slack, Google Workspace, Asana, Shopify, and Klaviyo through APIs, webhooks, and MCP integrations. - Make long-running workflows dependable with persistent state, retries, duplicate prevention, clear approvals, and recoverable failures. ### Accelerate creative and growth workflows - Partner with Creative and Growth to improve the path from customer research and performance insights to briefs, scripts, creative variants, and testable landing pages. - Build workflows that combine brand knowledge, approved product claims, asset libraries, and creative performance data while keeping human review where it matters. - Help teams learn from prior experiments so each new brief or test benefits from what we’ve already discovered. ### Make company knowledge and data more useful - Extend our shared skills, knowledge base, retrieval, and context-management systems so AI tools can find and use the right source material. - Partner with our data team to connect AI workflows to governed analytics in Metabase and Hex, backed by Snowflake. - Use SQL and data validation to investigate issues, verify outputs, and make analytical workflows easier for non-technical teammates to use. ### Turn prototypes into reliable products - Build evaluations using real business tasks. Test accuracy, task completion, tool behavior, failure recovery, latency, and cost before scaling a workflow. - Add monitoring, useful logs, version control, automated tests, and clear documentation. Own failures after launch and fix their causes. - Protect customer and company data, separate brand and account contexts, and preserve human approval for consequential actions. - Choose the simplest approach that works, including ordinary code or deterministic automation when an LLM adds no value. ##
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