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Markon

Federal government technology and operations consulting

Full Performance AI/ML Engineer

AI Application Engineering +1Updated on Nov 12
Full-timeMcLean, VA, USA$130k - $160k /yrIn-person

About the Job

Requirements

  • An active Top Secret/Sensitive Compartmented Information clearance with Full Scope Polygraph is required.
  • A bachelor's degree and at least 3 years of related experience, or a master's degree and at least 1 year of related experience, or a PhD with no additional experience, or 6 years of equivalent relevant work experience without a degree is required.
  • Experience developing AI/ML-enabled applications, including large language model integration, agent-based workflows, retrieval-augmented generation, or similar retrieval-based capabilities is required.
  • Proficiency in Python, common AI and data libraries, and AI frameworks supporting large language model application development is required.
  • Experience implementing agent orchestration, tool integration, memory and context management, and connections to external systems is required.
  • A strong understanding of AI/ML fundamentals, including transformers, machine learning algorithms, large language model behavior, data processing, and model integration is required.
  • Experience developing or integrating REST APIs and Python-based backend services is required.
  • Experience with PostgreSQL or other relational databases, including schema design, indexing, and query optimization, is required.
  • Understanding of production-ready software development practices, including application testing, reliability, deployment, performance optimization, and maintainability, is required.

Responsibilities

  • Design, develop, implement, and maintain AI/ML-enabled applications, emphasizing large language model integration, agent-based workflows, and retrieval-augmented generation capabilities.
  • Develop and support agentic AI architectures, including orchestration logic, tool integration, memory management, context handling, and connections to external systems.
  • Design, implement, and optimize retrieval-augmented generation pipelines, including document processing, embedding generation, semantic retrieval, prompt assembly, and response optimization.
  • Develop and maintain Python-based services, REST APIs, backend components, and user-facing application features supporting enterprise AI solutions.
  • Integrate AI/ML applications with enterprise tools, databases, and structured or unstructured data sources.
  • Process, organize, and transform data to support AI model integration, retrieval workflows, and application functionality.
  • Develop and optimize PostgreSQL database schemas, queries, indexing strategies, and data workflows.
  • Evaluate and benchmark AI/ML application and model performance using appropriate testing and evaluation methodologies.
  • Optimize AI applications for reliability, latency, performance, usability, maintainability, and scalability.
  • Apply software engineering best practices throughout the application development lifecycle, including testing, deployment, troubleshooting, and ongoing sustainment.
  • Collaborate with technical stakeholders and development teams to translate mission requirements into functional, production-ready AI/ML capabilities.

Desired Qualifications

  • Experience with Model Context Protocol or similar protocols connecting AI agents to external tools, data sources, and enterprise systems.
  • Experience developing full-stack AI or agent-based applications, including frontend interfaces, backend services, orchestration layers, and enterprise deployment.
  • Experience with FastAPI, Flask, Docker, containerized development environments, and AWS or other cloud platforms.
  • Experience optimizing large language model and agentic AI workflows, including prompt engineering, tool execution, memory management, context windows, latency reduction, observability, evaluation, and cost/performance tuning.
  • Experience with MLflow or similar model evaluation and lifecycle tools.
  • Experience implementing vector databases, embedding models, semantic search, and retrieval configuration.
  • Experience processing and transforming structured and unstructured data, including PostgreSQL schema refinement and optimization.

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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