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. The role is pivotal in shifting our AI strategy from passive LLM chatbots to proactive, multi‑agent orchestrations. You will utilize deep experience in agent orchestration frameworks, RAG, knowledge graphs, and fine‑tuning Small Language Models (SLMs) for edge deployment.

• Design and implement intelligent agent architectures that can reason, plan, and take actions using Lang Chain, Lang Graph, and Auto Gen.
• 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.

• 4+ years of experience in software development.
• 3+ years of experience as an ML engineer building production‑grade ML solutions using tools such as Docker or Kubernetes, including GenAI, LLMs, DL, RL, AI agents, agentic workflows, or complex automation frameworks.
• 3+ years of experience with Lang Chain, Lang Graph, Auto Gen, Pydantic
  
  AI, CrewAI, or Llama Index.
• 3+ years of experience working in cloud environments, including AWS and Azure, and evaluating architectural tradeoffs and designing robust service‑based software applications for scalable use.
• Experience with MCP for tool integration and A2A for agent‑to‑agent collaboration, and with RAG architecture and KG, including Neo4j or Nebula Graph.
• Experience fine‑tuning LLMs or SLMs using Hugging Face, PEFT, or LoRA, evaluating LLM performance and behavior through evaluations, and building observation layers for stakeholders, including Grafana, Langfuse, Lang Smith, or Phoenix.
• Knowledge of modern software design patterns, including microservice design or edge computing.
• Ability to adapt in a rapidly changing environment and navigate ambiguity.
• TS/SCI clearance with a polygraph.
• Bachelor’s degree.

• 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.
• Experience with programming, including ML frameworks such as Tensor Flow, PyTorch, llama.cpp, and vLLM.
• Experience engineering AI capabilities in on‑premise or multi‑classification environments.
• Possession of excellent verbal and written communication skills for client engagement, client‑facing project work, and business development.
• Master’s degree in a CS or AI field preferred;
  Doctorate degree in CS or Statistics a plus.

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. TS/SCI clearance with polygraph is required.

Salary ranges from $99,000.00 to $ (annualized USD). The range reflects location, education, skills, experience, and contract‑specific factors. This position will close within 90 days from the posting date.

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.