Agentic AI Engineer: Multi-Agent & Edge AI

Talentify; Bethesda (MD); Hybrid; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton is seeking an Agentic AI Engineer to help shift our AI strategy toward proactive, multi-agent orchestration. You will design agent architectures that reason, plan, and act, leveraging LangChain, MCP, and A2A protocols.

You’ll build RAG pipelines with KG, fine-tune LLMs/SLMs for edge devices, and develop evaluation frameworks from prototype to production, including human-in-the-loop reviews.

Qualifications

• 5+ years of experience in machine learning, data science, or software development.
• 3+ years of experience with GenAI, LLMs, and agentic workflows
• 3+ years of experience with LangChain, LangGraph, AutoGen, or LlamaIndex
• Experience with MCP for tool integration and A2A for agent-to-agent collaboration
• Experience with RAG architecture and KG, including Neo4j or NebulaGraph
• Experience fine-tuning LLMs or SLMs using Hugging Face, PEFT, or LoRA
• Knowledge of modern software design patterns, including microservice design or edge computing
• Ability to obtain a Secret clearance
• Bachelor’s degree in a CS or AI field

Responsibilities

• Design and implement intelligent agent architectures that can reason, plan, and take actions using LangChain, LangGraph, and AutoGen.
• Develop and deploy multi-agent systems using Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols to facilitate communication, tool usage, and collaborative task solving.
• Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs (KG) to enhance reasoning accuracy and context retention.
• Fine-tune SLMs for specific domains and optimize them for edge device performance, including ONNX, GGML, or Ollama.
• Develop evaluation frameworks to test agent reliability, safety, and performance, moving from prototype to production, including ReAct loops and human-in-the-loop.

Skills

ML experience

GenAI/LLMs

LangChain/AutoGen

MCP/A2A

RAG & KG

Fine-tuning LLMs/SLMs

Edge deployment

Security clearance

Education

Bachelor's degree in CS or AI

Tools

Neo4j

NebulaGraph

Hugging Face

PEFT

LoRA

ONNX

GGML

Ollama

LlamaIndex

Job description

Booz Allen Hamilton is seeking an Agentic AI Engineer to help shift our AI strategy toward proactive, multi-agent orchestration. You will design agent architectures that reason, plan, and act, leveraging LangChain, MCP, and A2A protocols.

You’ll build RAG pipelines with KG, fine-tune LLMs/SLMs for edge devices, and develop evaluation frameworks from prototype to production, including human-in-the-loop reviews.