AI/ML Engineer

Markon

. Design and integrate LLM/agent orchestration workflows using agentic frameworks such as LangGraph, Agno, and the NVIDIA NeMo Agent Toolkit .

Posted 10/9/2026full-timeAnnapolis Junction • Maryland • United StatesSeniorLead💰 $120,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced proficiency in Python for AI/ML application development and extensive experience in building and integrating LLM/agent-based systems. Capable of implementing AI governance guardrails and developing automated evaluation pipelines to ensure quality and performance in mission-critical environments.

Highest-signal resume keywords

Active TS/SCI ClearancePython for AI/ML Application DevelopmentLLM/Agent-Based Systems IntegrationRetrieval-Augmented Generation (RAG)MCP (Model Context Protocol) Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonLLM IntegrationAgent-Based SystemsRetrieval-Augmented Generation (RAG)Vector DatabasesPrompt/Context EngineeringModel Inference/Serving PlatformsAI Evaluation FrameworksModel BenchmarkingObservability for AI Workloads

Soft Skills

PrioritizationRisk IdentificationCollaboration

Tools & Technologies

LangGraphAgnoNVIDIA NeMo Agent ToolkitNVIDIA NIMVLLMOllamaLiteLLM

Certifications & Qualifications

Bachelor’s Degree in Computer Science or Data ScienceMaster's Degree (Desired)Active TS/SCI w/ Polygraph

Industry Keywords

DoD Cyber OperationsAI GovernanceMission EnvironmentsAI CapabilitiesOperational Risks

Tech Stack

Tools & technologies

PythonTypeScript

About the role

Key responsibilities & impact

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 RAG pipelines, vector databases, and memory services to provide agents with mission knowledge and context
Implement MCP-based tool-broker integrations so agents can safely and securely access enterprise tools and data
Evaluate, benchmark, and tune models and agent behaviors
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/safety filters, policy enforcement, and approval gates, for agentic workflows
Document model and 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

Requirements

What you’ll need

Active TS/SCI w/ Polygraph
Bachelor’s degree from an accredited college or university in Computer Science, Data Science, or a related discipline; 4 additional years of experience may be substituted for a degree
10+ years of experience in an engineering-related discipline
Advanced proficiency in Python for AI/ML application development
Demonstrated experience building or integrating LLM/agent-based systems in production
Experience with retrieval-augmented generation (RAG), vector databases, and prompt/context engineering
Ability to manage competing priorities in fast-paced mission environments and identify/escalate operational risks early
Master's degree and 8+ years of relevant experience is desired
Experience supporting DoD cyber operations or related mission environments
Experience with frameworks such as LangGraph, Agno, or the NVIDIA NeMo Agent Toolkit
Experience with model inference/serving platforms such as NVIDIA NIM, vLLM, Ollama, or LiteLLM
Experience with MCP (Model Context Protocol) or similar tool-broker/integration standards
Experience with AI evaluation frameworks, model benchmarking, and observability (logs/metrics/traces) for AI workloads
Experience supporting DoD AI/cyber mission environments

Benefits

Comp & perks

Medical
Dental
Vision
Life Insurance
Short-Term Disability
Long-Term Disability
401(k) match
Flexible Spending Accounts
EAP
Training and Tuition Assistance
Paid Time Off
Holidays
Professional growth and development opportunities
Equal Opportunity Employer