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Markon

Federal government technology and operations consulting

AI/ML Engineer

Natural Language Processing & LLMsUpdated on Nov 12
Full-timeAnnapolis Junction, MD, USA$120k - $200k /yrIn-person

About the Job

Requirements

  • An active Top Secret/Sensitive Compartmented Information clearance with polygraph is required.
  • A bachelor's degree from an accredited college or university in Computer Science, Data Science, or a related discipline is required; four additional years of experience may be substituted for a degree.
  • At least 10 years of experience in an engineering-related discipline is required.
  • Advanced proficiency in Python for AI/ML application development is required.
  • Demonstrated experience building or integrating LLM/agent-based systems in production is required.
  • Experience with retrieval-augmented generation, vector databases, and prompt/context engineering is required.
  • Ability to manage competing priorities in fast-paced mission environments and identify or escalate operational risks early is required.

Responsibilities

  • Design and integrate LLM/agent orchestration workflows using agentic frameworks such as LangGraph, Agno, and the NVIDIA NeMo Agent Toolkit.
  • Tune model gateway routing logic to select, evaluate, and optimize across multiple frontier and open-weight models for cost, performance, and mission fit.
  • Develop and integrate retrieval-augmented generation pipelines, vector databases, and memory services to give agents access to mission knowledge and context.
  • Implement Model Context Protocol-based tool-broker integrations so agents can securely access enterprise tools and data.
  • Evaluate, benchmark, and tune models and agent behaviors, and build automated evaluation pipelines to track quality, safety, and performance over time.
  • Partner with data scientists and mission analysts to translate research and prototypes into production-grade AI capabilities for the command.
  • Implement AI governance guardrails, including content and safety filters, policy enforcement, and approval gates, for agentic workflows; document model/agent architectures and evaluation results for reuse.
  • Research and evaluate emerging LLM, agent, and AI tooling to keep the command's AI capability current and adaptable.

Desired Qualifications

  • A master's degree and at least eight years of relevant experience are desired.
  • Experience supporting Department of Defense cyber operations or related mission environments is desired.
  • Experience with frameworks such as LangGraph, Agno, or the NVIDIA NeMo Agent Toolkit is desired.
  • Experience with model inference/serving platforms such as NVIDIA NIM, vLLM, Ollama, or LiteLLM is desired.
  • Experience with Model Context Protocol or similar tool-broker/integration standards is desired.
  • Experience with AI evaluation frameworks, model benchmarking, and observability (logs, metrics, and traces) for AI workloads is desired.
  • Experience supporting Department of Defense AI/cyber mission environments is desired.

About the Company

Markon

Federal government technology and operations consulting

Markon Solutions provides consulting services to the U.S. federal government, focusing on enterprise technology, business operations, and critical infrastructure. It helps agencies modernize technology, streamline operations, and protect national infrastructure through advisory and hands-on support. The firm works by delivering expert services such as enterprise technology implementations, project and program management, acquisition support, financial management, and facility support, tailored to government needs. What sets Markon apart is its government-focused approach and ability to offer integrated, end-to-end support across technology, operations, and infrastructure, including risk and national security considerations, with deep knowledge of federal procurement and program management. Its goal is to assist federal agencies in improving efficiency, resilience, and security through practical, government-aligned solutions.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Falls Church, VA
Founded
2007

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