AI Engineer
Core
Design and ship dependable agentic systems (agents, GraphRAG, enterprise copilots) and own the model-specific side of production MLOps.
Role type
Senior IC MLOps Engineer (Agentic Systems)
Builds
Production AI systems, agentic workflows, and reusable MLOps frameworks for client engagements
Domain
Enterprise AI, MLOps, Agentic Systems
Deliverable
production ML models
Required skills
Python, FastAPI, PyTorch, LLM internals, fine-tuning, mechanistic interpretability, MLOps, agent orchestration, GraphRAG, Neo4j
Preferred skills
None stated
Technologies
Python, FastAPI, PyTorch, MCP, A2A, Neo4j
Responsibilities
Design and ship agentic systems; own model serving logic, evaluation, guardrails, drift monitoring, and retraining loops; build MLOps frameworks and reusable AI infrastructure; expose models and agents via clean endpoints; integrate AI into client operational workflows
Seniority
Senior, hands-on IC
