AI Engineer

Markon is hiring an AI Engineer to design, develop, test, and deploy AI-enabled, agentic solutions for an Intelligence Community customer’s Report Authoring and Dissemination program. This hybrid role in Annapolis Junction, MD focuses on turning mission workflows into scalable, production-ready capabilities by leveraging existing large language models and integrating them into existing enterprise applications.

• 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 that supports 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
  .
• Create evaluation and validation processes to assess AI-generated outputs, identify errors, and help 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, then recommend practical improvements to existing capabilities.
• Provide technical documentation and communicate implementation approaches, tradeoffs, and recommendations to stakeholders.

• 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 building and maintaining production-quality applications.
• Hands‑on experience developing applications using large language models via 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 Lang Chain
  , Llama Index
  , or comparable technologies.
• Strong prompt engineering skills with 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 in Amazon Web Services (AWS) environments.
• Strong analytical, problem‑solving, and communication skills with the ability to collaborate across technical teams.

• Experience building retrieval‑augmented generation pipelines and working with vector databases
  .
• Familiarity with LLM evaluation, monitoring, and observability tools.
• Experience conducting exploratory data analysis on structured and unstructured datasets.
• Familiarity with MLOps and LLMOps practices for deploying, monitoring, and maintaining AI applications.
• Experience supporting Intelligence Community applications, reporting workflows, or dissemination processes.
• Experience implementing AI‑driven workflow automation within enterprise or mission‑critical systems.
• Work arrangement:
  Up to three days of telework per week
  , subject to customer approval.

Salary: USD $160,000 - $185,000 per year.

• 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

Python
, large language models,
Lang Chain
, Llama Index
, RESTful APIs
, microservices
, Amazon Web Services
, APIs, foundation models, prompt chaining, tool integration, and orchestration frameworks.