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 AI Engineer (Agentic Systems)
Builds
Multi-agent workflows, A2A communication protocols, real-time data pipelines, and scalable agentic infrastructure.
Domain
Artificial Intelligence / Machine Learning / Software Engineering
Deliverable
production ML models
Required skills
Python, Multi-Agent System Design, Orchestration Frameworks (LangGraph, CrewAI, AutoGen), Vector Databases, Kubernetes, Docker, AWS, LLM Optimization, Data Engineering, NLP, Graph Technologies
Preferred skills
Master's or PhD in CS/AI, 5+ years NLP experience, Knowledge Graphs, Model Context Protocol (MCP), Swarm Intelligence
Technologies
LangGraph, CrewAI, AutoGen, LiteLLM, Langfuse, Pinecone, Weaviate, Qdrant, PostgreSQL, DynamoDB, Databricks, Snowflake, Neo4j, AWS Neptune, AWS AgentCore
Responsibilities
Design and code stateful multi-agent workflows; implement A2A communication protocols; engineer control flows and state management; build real-time data ingestion pipelines; implement observability and safety frameworks; define technical roadmap and mentor team members.
Seniority
Senior, hands-on IC with leadership responsibilities
