Lead AI Engineer (Agentic Systems)
Core
Architect and build production-grade autonomous AI workflows (Agentic Systems) capable of reasoning, planning, and executing complex tasks independently.
Role type
Lead IC Machine Learning Engineer (Agentic Systems)
Builds
Multi-agent workflows, A2A communication protocols, real-time data pipelines, and scalable cloud infrastructure for autonomous decision-making.
Domain
Energy & Commodities Markets / Generative AI / Multi-Agent Systems
Deliverable
production ML models
Required skills
Python, Multi-Agent Orchestration, Vector Databases, Cloud Architecture, Kubernetes, Data Pipeline Engineering, LLM Optimization, Observability, System Design
Preferred skills
Graph Technologies, NLP, Model Context Protocol (MCP), Swarm Intelligence, Real-Time Operations
Technologies
LangGraph, CrewAI, AutoGen, LiteLLM, Langfuse, Docker, Kubernetes, AWS, GCP, Azure, Databricks, Snowflake, Pinecone, Weaviate, Qdrant, Neo4j, AWS Neptune
Responsibilities
Design and code stateful multi-agent workflows; implement A2A communication protocols; engineer control flows for non-deterministic agents; build real-time data ingestion pipelines; implement observability and safety frameworks; define technical standards and mentor the AI engineering team.
Seniority
Senior, hands-on IC with technical leadership
