Agentic AI Engineer

Phase2 Technology; McLean (VA); On-site; USD 99,000 - 225,000; Full time

Benefits offered by this job

Health benefits

Professional development

Paid leave

Job summary

Phase2 Technology in McLean, Virginia, is searching for an Agentic AI Engineer to develop proactive AI systems. You will utilize expertise in agent orchestration frameworks and LLM fine-tuning. The role requires 5+ years of software development experience and deep knowledge of GenAI workflows. Candidates must have a Bachelor's degree in a relevant field and the ability to attain a Secret clearance. The position offers a competitive salary range between $99,000 and $225,000, along with robust benefits.

Qualifications

• 5+ years of experience in software development.
• 3+ years of experience with GenAI, LLMs, and agentic workflows.
• Experience fine-tuning LLMs or SLMs using Hugging Face, PEFT, or LoRA.

Responsibilities

• Design and implement intelligent agent architectures.
• Develop and deploy multi-agent systems using MCP and A2A protocols.
• Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs.

Skills

Experience with GenAI, LLMs, and agentic workflows

Experience with LangChain, LangGraph, AutoGen

Ability to obtain a Secret clearance

Modern software design patterns knowledge

Education

Bachelor's degree in a CS or AI field

Job description

Job Number: R0238708

Agentic AI Engineer

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.

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.

Qualifications

• 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.

Nice to Have

• 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.

Security Clearance Requirement

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well‑being. 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. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.