Senior AL/ML Engineer

Markon

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

Posted 10/9/2026full-timeAnnapolis Junction • Maryland • United StatesSenior💰 $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 in production. Capable of implementing AI governance guardrails and developing automated evaluation pipelines to ensure quality and performance.

Highest-signal resume keywords

Active TS/SCI ClearancePython for AI/ML Application DevelopmentLLM/Agent-Based Systems IntegrationRetrieval-Augmented Generation (RAG)NVIDIA NeMo Agent Toolkit

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonLLM IntegrationAgent Orchestration WorkflowsRAG PipelinesVector DatabasesModel BenchmarkingAI GovernanceAutomated Evaluation PipelinesPrompt/Context EngineeringMCP Tool-Broker Integrations

Soft Skills

PrioritizationRisk IdentificationCollaboration

Tools & Technologies

LangGraphAgnoNVIDIA NeMo Agent ToolkitNVIDIA NIMVLLMOllamaLiteLLM

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in Data Science

Industry Keywords

DoD Cyber OperationsAI Evaluation FrameworksMission EnvironmentsOperational Risks

Tech Stack

Tools & technologies

PythonTypeScript

About the role

Key responsibilities & impact

Design and integrate LLM/agent orchestration workflows using LangGraph, Agno, and the NVIDIA NeMo Agent Toolkit
Tune model gateway routing logic across frontier and open-weight models for cost, performance, and mission fit
Develop and integrate RAG pipelines, vector databases, and memory services
Implement MCP-based tool-broker integrations for secure access to enterprise tools and data
Evaluate, benchmark, and tune models and agent behaviors
Build automated evaluation pipelines tracking quality, safety, and performance
Partner with data scientists and mission analysts to translate research and prototypes into production-grade AI capabilities
Implement AI governance guardrails, content/safety filters, policy enforcement, and approval gates
Document model and agent architectures and evaluation results
Research and evaluate emerging LLM, agent, and AI tooling

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
8+ 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
Desired: Experience supporting DoD cyber operations or related mission environments
Desired: Experience with LangGraph, Agno, or the NVIDIA NeMo Agent Toolkit
Desired: Experience with NVIDIA NIM, vLLM, Ollama, or LiteLLM
Desired: Experience with MCP or similar tool-broker/integration standards
Desired: Experience with AI evaluation frameworks, model benchmarking, and observability for AI workloads
Desired: 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