Software AI Engineer

Software AI Engineer

What you'll do

• 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

What you'll bring

• 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 

What Success Looks Like

• You've designed and shipped 2-3 significant agent capabilities that teams actively use and value
• Your code and architectural decisions set the bar for how the team thinks about agentic systems
• You've built confidence in the company's ability to move fast in the agentic space without sacrificing quality
• You've coached and mentored the next engineers into our agentic specialization