AI Product Engineer

Join our AI Task Force to build production AI systems that improve how we develop software and work with data. You’ll design and ship autonomous agents, tool harnesses, and intelligent workflows that solve real problems for our teams.

A core part of this role is working closely with internal teams—understanding their workflows, identifying where agents can help, and building solutions tailored to their needs. You’ll need to think critically about how LLMs actually work, what they’re good at, and where they fall short.

Our team builds with Claude Code, Cursor, and other AI-assisted development tools daily—you should be deeply comfortable in these environments and excited to push them further.

• Build and deploy AI agents using modern agent SDKs (Claude, OpenAI, or similar) with custom tools and function calling

• Design and build tool harnesses and execution environments for agents—both on desktop (local CLI, IDE integrations) and in the cloud (containerized, API-driven)

• Partner with internal teams across the organization to understand their workflows, identify automation opportunities, and build agents tailored to their use cases

• Think critically about LLM capabilities and limitations—understand the differences between models, when to use which, and how to get the best results from each

• Develop context engineering strategies—understanding how to give LLMs the right information at the right time within token limits

• Build and maintain custom tool libraries that agents can use to interact with internal systems, APIs, and data sources

• Deploy and manage agents in cloud environments with proper monitoring, error handling, and cost controls

• Optimize LLM costs and performance through prompt engineering, caching, and smart model selection