Agentic AI Engineer

Booz Allen Hamilton • Washington, DC

1d • $99,000 - $225,000

About The Position

Agentic AI Engineer The Opportunity: We are looking for a highly skilled Agentic AI Engineer to join our team, specializing in building autonomous, goal-oriented AI systems. You will play a crucial role in shifting our AI strategy from passive LLM chatbots to proactive, multi-agent orchestrations. In this role, you will utilize deep experience in agent orchestration frameworks, RAG, knowledge graphs, and fine-tuning Small Language Models (SLMs) for edge deployment. What You'll Work On: 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 MCP (Model Context Protocol) and A2A (Agent-to-Agent) 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 Small Language Models (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. Join us. The world can’t wait.

Requirements

• 5+ years of experience in software development
• 2+ years of experience with GenAI, LLMs, and agentic workflows
• Experience with LangChain, LangGraph, AutoGen, or LlamaIndex
• Experience with Model Context Protocol (MCP) for tool integration and A2A for agent-to-agent collaboration
• Experience in RAG architecture and Knowledge Graphs, 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 Computer Science or AI field

Nice To Haves

• Experience deploying agentic systems in a production environment
• Experience deploying agents on edge devices such as Android or local models
• Experience integrating coding agents such as Cursor or Windsurf into an efficient development pipeline with measured results
• Master’s degree in a Computer Science or AI field preferred; Doctorate degree in Computer Science or Statistics a plus

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 MCP (Model Context Protocol) and A2A (Agent-to-Agent) 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 Small Language Models (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.

Benefits

• Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care.
• Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values.
• Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level