Software AI Engineer

• Design and build AI agent architectures that interact with development tools, codebases, and team workflows in meaningful ways
• Work extensively with LLM APIs (Claude, Gemini, Llama, and others) to understand their capabilities, limitations, and optimal application patterns
• Drive agent quality and reliability through systematic testing, safety mechanisms, and feedback loops with real users
• Own the developer experience of agentic interactions-making complex AI capabilities feel natural and trustworthy
• Lead technical decision-making on agent patterns, model selection, and integration approaches
• Mentor and raise the bar across the team through code review, architecture guidance, and knowledge sharing

Artificial Intelligence (AI), Software Engineering, Artificial Intelligence (AI), Programming Tools, Application Programming Interface (API), Reliability Testing, Technical Leadership, Mentoring, Code Reviews, Artificial Intelligence (AI) Agents, * Deep, hands-on experience building AI agents or agentic systems in production

• Strong understanding of LLM capabilities and limitations across multiple models (Claude, Gemini, Llama, etc.)
• Expertise in prompt engineering, model selection, and working with tool-use/function calling
• Proven ability to architect systems that are reliable, maintainable, and performant at scale
• Staff-level impact: You have led significant technical initiatives and elevated team capabilities

Preferred

• Experience with multi-step reasoning, chain-of-thought patterns, or complex agent workflows
• Familiarity with evaluation frameworks for agentic systems
• Background in developer tools, productivity platforms, or engineering analytics
• Understanding of the practical tradeoffs in production agentic systems