Note: The job is a remote job and is open to candidates in USA. Booz Allen Hamilton is seeking a highly skilled Agentic AI Engineer to join their team, specializing in building autonomous, goal-oriented AI systems. The role involves designing and implementing intelligent agent architectures, developing multi-agent systems, and fine-tuning Small Language Models for edge deployment.
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
- 5+ years of experience in 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
- 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 CS or AI field preferred; Doctorate degree in CS or Statistics a plus
Benefits
- Health, life, disability, financial, and retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- 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
- Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits
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