Gen AI Leads/Architect

Agentic Coding & Development • Run agentic coding workflows using Claude Code, Cursor, OpenAI Codex, or equivalent CLI tools • Lead projects where AI writes significant portions of the codebase - and you guide, review, and ship it • Work with CLAUDE.md, shared context frameworks, and multi-session agent setups for team use • Debug non-deterministic agent outputs systematically - not by gut feel Not just what you know. • Deployed 2–3 agent-based systems in production - stateful, multi-step, real users • Used LangGraph for multi-agent orchestration with memory, tool routing, and state management • Built projects where AI (Claude Code, Codex, Cursor) wrote significant portions of the code • Implemented RAG pipelines end-to-end - chunking, embedding, retrieval, re-ranking, evaluation • Integrated agents with real enterprise APIs - not just OpenAI playground or sample data • Debugged a production agent failure - and fixed it without blaming the model • Can articulate when NOT to use agents - that is how we know you have built things Bonus - Real Differentiators • Experience with Claude Code CLI in team environments (CLAUDE.md, shared context, multi-session flows) • Familiarity with LangSmith for agent tracing, evaluation pipelines, and debugging at scale • Has shipped something using MCP (Model Context Protocol) or similar shared-context tooling • QA/testing mindset for agents - systematic evaluation of non-deterministic outputs • Background in IT services or consulting - managing client expectations while building • Experience with SLMs, fine-tuning, or on-device/edge agent deployment What We Are Not Looking For • Someone who lists LLMs on a resume but has only called the API in a Jupyter notebook • AI enthusiasts whose hands-on experience is less than a year old • People who explain everything in terms of frameworks they have never deployed • Consultants who can only narrate what others have built

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