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 applications, multi-agent workflows, and RAG pipelines for enterprise use cases
Domain
Enterprise AI, Agentic Systems, Generative AI
Deliverable
production ML models
Required skills
Python (FastAPI), Agentic AI frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI Agents SDK, Google Agent Development Kit), MCP (Model Context Protocol), RAG/LLM pipelines, Vector databases, Relational and graph databases (Postgres, Neo4j), 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, Hugging Face, OPA/Rego
Responsibilities
Design and build agentic AI applications and multi-agent workflows; Build RAG pipelines and integrate 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 capture field learnings
Seniority
Lead/Principal, hands-on IC with strategic alignment