Software Engineer - Customer Facing Applied AI

As an Applied AI Engineer, you will build agentic AI systems from idea to production, collaborating with clients and engineering to deliver usable AI-powered solutions. You’ll prototype quickly, validate with clients, and translate learnings into product features. The role sits on a new team that shapes what we ship and works closely with client workflows to drive real impact. You will balance rapid delivery with production quality, across the full AI stack and infrastructure.

• Build AI-powered agents and tools end-to-end—from problem framing with clients to production deployment
• Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows
• Define evaluation criteria and build test harnesses for AI systems where correctness is ambiguous
• Work directly with clients to understand their workflows, validate AI behavior, and iterate toward production quality
• Partner with core engineering teams to generalize client-specific work into product features
• Contribute to shared AI infrastructure (agent frameworks, tool integrations, deployment pipelines)
• Monitor and maintain production AI systems with attention to reliability, cost, and performance

• Professional software engineering experience
• Professional experience with Python
• Experience working with LLM APIs (Claude, GPT, or similar) including function calling and structured outputs
• Comfort with SQL for data exploration and building data-grounded AI workflows
• Experience with AI-assisted development tools (Claude Code, Codex, or similar)
• BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience

• Bias for action
• Client-focused mindset
• Strong collaboration and cross-functional teamwork
• Python
• LLM APIs (Claude, GPT, or similar) with function calling and structured outputs
• SQL