Forward Deployed Engineer - Lead AI & Agentic Engineer
Core
Architecting and delivering enterprise agentic AI systems, RAG pipelines, and generative AI applications for client engagements.
Role type
Lead/Principal AI & Agentic Engineer (Forward Deployed)
Builds
Production agentic AI workflows, RAG pipelines, and multi-agent systems for enterprise clients
Domain
Enterprise AI, Agentic Systems, Generative AI
Deliverable
production ML models | product features
Required skills
Agentic AI frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI Agents SDK, Google Agent Development Kit), RAG/LLM pipelines, Vector databases, Python (FastAPI), Relational and graph databases (Postgres, Neo4j), MCP (Model Context Protocol), AI coding copilots
Preferred skills
Observability instrumentation (OpenTelemetry, Prometheus), AI/ML frameworks (TensorFlow, PyTorch), Image understanding and OCR, Policy-as-code (OPA/Rego), LLM governance
Technologies
FastAPI, LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI Agents SDK, Google Agent Development Kit, MCP, Postgres, Neo4j, OpenTelemetry, Prometheus, TensorFlow, PyTorch, OPA/Rego
Responsibilities
Design and build agentic AI applications and multi-agent workflows; Build RAG pipelines integrating LLM APIs and vector databases; Process unstructured data into structured knowledge; Write production-grade Python services; Work with platform engineering on deployment and MLOps/LLMOps; Define AI governance and responsible-use guardrails; Instrument AI applications for observability; Translate enterprise requirements into AI solution roadmaps; Mentor engineers and codify reusable agentic patterns
Seniority
Lead/Principal, hands-on IC with strategic alignment