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Lead AI Engineer, Agentic Systems
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AI Infrastructure
Agentic Frameworks
About the Role
Catalyst·Wayfare AI | Lead AI Engineer, Agentic Systems | Remote-first (US, Eastern overlap) | Full-time or Contract (~8 months, extension likely)
AI transformation firm shipping production AI systems for mid-market enterprises in regulated and technical domains: finance, energy, industrials, healthcare. We ship working systems alongside our clients' engineering teams. Small teams, deep expertise, real autonomy on real work. Reports directly to the Catalyst·Wayfare founder.
About the role:
Embed within a client's engineering org to build a multi-agent orchestration platform for one of the country's leading power engineering firms. Architect the engine; design the patterns we replicate at the next client.
Core responsibilities:
- Lead architecture of seven capability agents and the orchestration engine that coordinates them.
- Design state management and orchestration patterns.
- Build on existing RAG foundations.
- Run pilot loops with client engineers and improve LLM reliability.
Requirements:
- 6+ years production software experience; 2+ years shipping LLM/agentic systems in production.
- Strong Python and familiarity with agent frameworks (LangGraph, Letta, or custom).
- Hands-on RAG architecture experience.
- Proven ability to debug and improve LLM reliability (e.g., from ~70% to 95%).
- Client-facing technical communication skills.
- Monthly US travel to one major metro.
Stack: Claude + OpenAI + Gemini + Perplexity APIs in production, open-source models when the math points there. Cursor and Claude Code daily. Vercel, Neon, Sentry. Evals as first-class artifacts.
How to apply:
Email talent@cwai.co with subject line "Lead AI Engineer - Agentic Systems" including a short cover letter, a 3-5 paragraph description of a multi-agent/production LLM system you built, and optionally GitHub, code samples, or CV.
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