AI Engineer

Markon

. Design, develop, test, and deploy AI-enabled applications and agentic workflows to automate complex mission and reporting processes .

Posted 11/11/2026full-timeAnnapolis Junction • Maryland • United StatesMid-LevelSenior💰 $160,000 - $185,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing AI-enabled applications, with a strong focus on Python development, multi-agent orchestration, and prompt engineering. Proven ability to integrate AI capabilities into existing architectures and collaborate effectively with cross-functional teams.

Highest-signal resume keywords

Python DevelopmentAI Orchestration FrameworksPrompt EngineeringRESTful APIs IntegrationActive TS/SCI Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Application DevelopmentLarge Language ModelsMulti-Agent SolutionsPrompt ChainingTool IntegrationEvaluation and Validation ProcessesProduction-Quality CodeCloud-Based ServicesData AnalysisMLOps Practices

Soft Skills

Analytical SkillsProblem-SolvingCommunication SkillsCollaboration

Tools & Technologies

LangChainLlamaIndexAmazon Web ServicesMicroservicesVector Databases

Certifications & Qualifications

Active TS/SCI Clearance with Polygraph

Industry Keywords

Intelligence CommunityAI-Driven Workflow AutomationMission-Critical SystemsExploratory Data AnalysisAI Monitoring and Observability

Tech Stack

Tools & technologies

AWSCloudMicroservicesPythonTypeScript

About the role

Key responsibilities & impact

Design, develop, test, and deploy AI-enabled applications and agentic workflows to automate complex mission and reporting processes
Build and integrate multi-agent solutions using large language models, prompt chaining, tool integration, and orchestration frameworks
Develop production-quality Python code to support AI capabilities within existing enterprise architectures
Integrate foundation models through APIs, microservices, and cloud-based services
Design, test, and optimize prompts and agent instructions to improve accuracy, consistency, and reliability
Develop evaluation and validation processes to assess AI-generated outputs, identify errors, and ensure mission requirements are met
Collaborate with software developers, systems engineers, and stakeholders to translate operational requirements into AI-driven solutions
Evaluate emerging AI technologies, frameworks, and tools and recommend practical improvements to existing capabilities
Provide technical documentation and communicate AI implementation approaches, tradeoffs, and recommendations to stakeholders

Requirements

What you’ll need

Active TS/SCI clearance with Polygraph required
Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field
Strong Python development experience, including building and maintaining production-quality applications
Hands-on experience developing applications using large language models through commercial or self-hosted APIs
Experience designing agentic AI workflows, including multi-agent orchestration, prompt chaining, and tool integration
Experience with AI orchestration frameworks such as LangChain, LlamaIndex, or comparable technologies
Strong prompt engineering skills and experience testing and validating AI-generated outputs
Experience integrating AI capabilities into existing software architectures using RESTful APIs and microservices
Experience developing and deploying applications within Amazon Web Services environments
Strong analytical, problem-solving, and communication skills with the ability to collaborate across technical teams
Desired: Experience developing retrieval-augmented generation pipelines and working with vector databases
Desired: Familiarity with LLM evaluation, monitoring, and observability tools
Desired: Experience performing exploratory data analysis on structured and unstructured datasets
Desired: Familiarity with MLOps and LLMOps practices for deploying, monitoring, and maintaining AI applications
Desired: Experience supporting Intelligence Community applications, reporting workflows, or dissemination processes
Desired: Experience implementing AI-driven workflow automation within enterprise or mission-critical systems

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Life insurance
Short-term disability
Long-term disability
401(k) match
Flexible Spending Accounts
Employee Assistance Program (EAP)
Training and Tuition Assistance
Paid Time Off
Holidays
Up to three days of telework per week, subject to customer approval