Lead AI Engineer

Lead AI Engineer — Bridge-it AI Team Location: Remote Experience: 4–8 years in industry Team: AI Platform (Copilot) About Bridge-it Bridge-it is an early-stage EdTech company building a career-readiness platform for K-12 students, counselors, and districts. Students explore careers, colleges, and non-college pathways; build multi-year plans; and get guidance from an AI Copilot that is grounded in their own plans, school data, and a curated knowledge base. Counselors use the same platform to supervise, nudge, and intervene at scale. The AI Copilot is the heart of the product — a production LangGraph-based agentic system serving real students, where being right matters more than being fluent. We hold ourselves to strict grounding, safety, and tenant-isolation standards, and we measure everything. About the role You will join a small AI team that owns the Copilot end to end: the agentic orchestration graph, retrieval and grounding, safety guardrails, response contracts with the frontend, and the evaluation platform that keeps it honest. We are mid-flight on an ambitious redesign — collapsing multiple experimental graph variants into a single workflow-first architecture with typed claim verification, constitutional rules, and per-turn decision records — and you would step directly into that work. This is a senior role with a visible leadership runway. Beyond writing excellent code, we expect you to analyze ambiguous product requirements, turn them into well-scoped technical specs and tickets, distribute work across the team, and communicate trade-offs clearly to product and leadership. For the right person, this role grows into a techno-management position. What you'll do Design, build, and operate agentic LLM workflows in LangGraph — routing, planning, parallel retrieval, tool execution, verification, and streaming — serving live student and counselor traffic over WebSockets. Own RAG quality : multi-source retrieval across vector stores (Milvus, pgvector), a knowledge