AI Agent & Infrastructure - Lead Engineer

Working independently, the Lead Engineer owns development of software products and works on improving the overall quality of the product throughout the software development life cycle and mentors other Software Engineers. Reports directly to a Director or Senior Director. Overview: Architects and builds the infrastructure and tooling that powers AI agent development across the Software Development Lifecycle (SDLC).

Develops production-grade agentic systems, orchestration frameworks, and observability solutions that enable teams to build, deploy, and monitor reliable AI agents at scale. Plays a key role in defining and implementing the next generation of SDLC through AI-first innovation and comprehensive instrumentation. What We're Looking For: You demonstrate sharp product sense for high-impact automation opportunities, technical taste in implementation decisions, and the ability to clearly articulate trade-offs.

You know when to apply AI agent solutions versus simpler approaches and can explain the "why" behind architectural choices. You excel at 0-to-1 (and 1-to-100) product development, comfortable operating in ambiguous environments where requirements emerge through experimentation and iteration rather than upfront specification. Key

AI Agent Development & Automation Develop production-grade AI agents that eliminate manual handoffs across the SDLC Create custom integrations and CLI tools that give agents deep understanding of internal systems and codebas