Lead Agentic AI Engineer – Vice President
Core
Architect and deliver production-grade agentic AI systems at the intersection of LLMs, RAG, and full-stack engineering to drive business outcomes.
Role type
Vice President, Lead Agentic AI Engineer
Builds
Multi-tenant agentic ecosystems, custom fine-tuning applications, and enterprise-grade AI platforms.
Domain
Financial Services / Generative AI / Agentic Workflows
Deliverable
production ML models
Required skills
Python, LLM orchestration, Agentic frameworks (ADK, LangChain, LangGraph), Java (Spring Boot), React, Microservices, RAG architectures (GraphRAG, LightRAG, RAPTOR), Vector databases (pgvector, Pinecone, Milvus), Graph databases (Neo4j), AWS, Prompt engineering, MCP servers
Preferred skills
Leadership of technical teams, Player-Coach mindset, Mentoring junior developers, Forward Deployed Engineer experience
Technologies
Python, Java, Spring Boot, React, Neo4j, pgvector, Pinecone, Milvus, AWS, LangChain, LangGraph, ADK
Responsibilities
Lead full-stack development of AI platform components and microservices; Code and optimize multi-tenant intelligent agents using ReAct/ReWOO patterns; Develop advanced RAG architectures and vector/graph integrations; Act as Forward Deployed Engineer to translate complex enterprise workflows into automated agent-driven code; Enforce strict architectural patterns (MCP servers) for agent communication.
Seniority
Vice President, Strategic Leadership & Hands-on IC
