Sr. Software Engineer - Customer Facing Applied AI

In this role you will build AI-powered agents and tools that integrate with client workflows, moving from problem understanding to production. You will prototype quickly, evaluate rigorously, and work with core engineering to ship features at scale. You will design LLM integrations and retrieval-augmented workflows, while closely validating behavior with clients. The role offers a chance to shape new AI capabilities on a growing team and influence product direction through hands-on delivery.

• Build AI-powered agents end-to-end: identify client problems, prototype, evaluate, and deploy to production
• Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows
• Define evaluation criteria and build test harnesses for uncertain, domain-specific AI systems
• Collaborate with clients to validate AI behavior and iterate toward production quality
• Partner with core engineering to generalize client-specific work into product features
• Contribute to shared AI infrastructure (agent frameworks, tool integrations, deployment pipelines)
• Monitor production AI systems with emphasis on reliability, cost, and performance

• Extensive professional software engineering experience
• Professional experience with Python
• Experience 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)
• You've built something from zero to one; bias for action; end-to-end delivery
• BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience

• client-facing collaboration
• bias for action
• strong communication
• Python
• LLM APIs (Claude, GPT) with function calling and structured outputs
• SQL