AI Product Engineer

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Full job description

Build and deploy AI agents using modern SDKs (Claude, OpenAI, or similar) with custom tools and function calling. Design and build tool harnesses and execution environments for agents on desktop and cloud. Collaborate with internal teams to understand workflows, identify automation opportunities, and build tailored agents. Analyze LLM capabilities and limitations, develop context engineering strategies, and maintain custom tool libraries for agent interaction with internal systems. Deploy and manage agents in cloud environments with monitoring, error handling, and cost controls. Optimize LLM costs and performance through prompt engineering, caching, and model selection. Requirements include experience shipping AI agents to production, deploying in cloud environments, building tools for agents, daily use of Claude Code and Cursor, deep understanding of LLMs and model differences, strong product sense, pragmatic delivery, communication skills, cloud platform experience (GCP, AWS, Azure), advanced agent patterns, MCP server configuration, open-source AI/ML contributions, observability tools familiarity, and domain knowledge in media, ad tech, or streaming data.