Agentic AI Engineer

Overview

AI is moving fast and the most consequential work is happening at the intersection of autonomous systems and real‑world enterprise operations. As an Agentic AI Engineer you will design and build cutting‑edge agentic AI solutions that move beyond demos to deployable, scalable, and secure production systems, operating in demanding mission contexts.

• Embed agentic AI capabilities into existing enterprise systems and operational workflows, including API integration, process automation, and end‑user adoption.
• Design and implement intelligent agent architectures that can reason, plan, and take actions.
• Develop and deploy collaborative multi‑agent systems using the Model Context Protocol (MCP) and Agent‑to‑Agent (A2A) protocols.
• Build advanced Retrieval‑Augmented Generation (RAG) pipelines that integrate 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.

• 6+ years of experience in software development.
• 3+ years of experience working in cloud environments (AWS and Azure), evaluating architectural trade‑offs, designing robust service‑based software applications for scalable use, and using Lang Chain, Lang Graph, Auto Gen, Pydantic
  
  AI, CrewAI, or Llama Index.
• Experience with MCP for tool integration, A2A for collaboration, RAG architecture and knowledge graphs, memory architectures for long‑running agents such as episodic, semantic, and working memory patterns, and agent benchmarking frameworks such as GAIA, SWE‑bench, or custom evaluation harnesses.
• Experience with tool or function‑calling patterns across multiple LLM providers.
• Experience fine‑tuning LLMs or SLMs.
• Knowledge of modern software design patterns, including microservice design or edge computing.
• Ability to translate agentic AI capabilities into practical enterprise workflows, bridging the gap between technical implementation and business process adoption.
• Ability to adapt in a rapidly changing environment and navigate ambiguity.
• Ability to obtain a Secret clearance.
• Bachelor’s degree in Computer Science or Computer Engineering.

• 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 measurable results.
• Experience with programming and ML frameworks such as Tensor Flow, PyTorch, llama.cpp, and vLLM.
• Experience engineering AI capabilities in on‑premises or multi‑classification environments.
• Possession of excellent verbal and written communication skills for client engagement, client‑facing project work, and business development.

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

The projected compensation range for this position is $ to $ (annualized USD). Benefits include health, life, disability, financial, and retirement programs, paid leave, professional development, tuition assistance, work‑life programs, and dependent care.

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.