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Full performance AI/ML Engineer

Reads like an AI Engineer role: building products on existing AI models.

Pay
USD 130,000–160,000/year — pay source
Salary Range USD $130,000.00 - USD $160,000.00 /Yr.The Markon pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Overview Eager to join a team where your skills are valued, your growth is nurtured, and your impact is profound? Look no further than Markon, a premier consulting firm deeply dedicated to advancing our nation's most critical missions.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

Before you apply

Work authorization
Citizens onlyActive TS/SCI clearance with Full Scope Polygraph

What you’ll work on

Full posting
  • Design and maintain AI/ML applications centered on LLM integration, agent workflows, and RAG

  • Build RAG pipelines covering document processing, embeddings, retrieval, and prompt assembly

  • Develop agentic AI architectures with orchestration, tool integration, and memory handling

  • Develop Python services, REST APIs, and backend components for AI solutions

  • Develop and optimize PostgreSQL schemas, queries, and indexing

From the employer’s posting
Design, develop, implement, and maintain AI/ML-enabled applications, emphasizing LLM integration, agent-based workflows, and RAG capabilities.
Design, implement, and optimize RAG pipelines, including document processing, embedding generation, semantic retrieval, prompt assembly, and response optimization.
Develop and support agentic AI architectures, including orchestration logic, tool integration, memory management, context handling, and connections to external systems.
Develop and maintain Python-based services, REST APIs, backend components, and user-facing application features supporting enterprise AI solutions.
Develop and optimize PostgreSQL database schemas, queries, indexing strategies, and data workflows.

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree and at least 3 years of related experience; OR
  • Experience with Model Context Protocol (MCP) or similar protocols connecting AI agents to external tools, data sources, and enterprise systems.
  • Master's degree and at least 1 year of related experience; OR
  • Experience developing full-stack AI or agent-based applications, including frontend interfaces, backend services, orchestration layers, and enterprise deployment.
  • 6 years of equivalent relevant work experience and no degree.
  • Experience with FastAPI, Flask, Docker, containerized development environments, and AWS or other cloud platforms.
Qualification wording
Bachelor's degree and at least 3 years of related experience; OR
Experience with Model Context Protocol (MCP) or similar protocols connecting AI agents to external tools, data sources, and enterprise systems.
Master's degree and at least 1 year of related experience; OR
Experience developing full-stack AI or agent-based applications, including frontend interfaces, backend services, orchestration layers, and enterprise deployment.
6 years of equivalent relevant work experience and no degree.
Experience with FastAPI, Flask, Docker, containerized development environments, and AWS or other cloud platforms.
Education & alternatives
- Active TS/SCI clearance with Full Scope Polygraph. - Bachelor's degree and at least 3 years of related experience; OR - Master's degree and at least 1 year of related experience; OR
- Bachelor's degree and at least 3 years of related experience; OR - Master's degree and at least 1 year of related experience; OR - PhD with no additional experience required; OR
- Master's degree and at least 1 year of related experience; OR - PhD with no additional experience required; OR - 6 years of equivalent relevant work experience and no degree.
Apply at Markon

Posting record

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Status in our records
Live
First seen by us
Oct 12, 202632 days ago
Recorded sightings
66
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 32

Similar jobs usually come down between day 4 and day 77.

At Markon, jobs usually come down by about day 48.

From 51 similar postings that came down, and 17 of Markon’s. Coming down is not always a hire.

Markon is hiring

9 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • AWS
  • Docker
  • MLflow
  • PostgreSQL
  • FastAPI
  • Flask
Where the posting names them
- Design, implement, and optimize RAG 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.
- Experience developing AI/ML-enabled applications, including LLM integration, agent-based workflows, RAG, or similar retrieval-based capabilities. - Proficiency in Python, common AI/data libraries, and AI frameworks supporting LLM application development. - Experience implementing agent orchestration, tool integration, memory/context management, and connections to external systems.
- Strong understanding of AI/ML fundamentals, including transformers, machine learning algorithms, LLM behavior, data processing, and model integration. - Experience developing or integrating REST APIs and Python-based backend services. - Experience with PostgreSQL or other relational databases, including schema design, indexing, and query optimization.
- 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 LLM and agentic AI workflows, including prompt engineering, tool execution, memory management, context windows, latency reduction, observability, evaluation, and cost/performance tuning.
- Experience optimizing LLM 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.
- 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.
- Experience developing or integrating REST APIs and Python-based backend services. - Experience with PostgreSQL or other relational databases, including schema design, indexing, and query optimization. - Understanding of production-ready software development practices, including application testing, reliability, deployment, performance optimization, and maintainability.
- 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. Salary Range

Your next step

Complete your application on careers-markon.icims.com. The employer’s form will show what is required.

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  • Upload your resume before you fill anything in: iCIMS fills some profile fields from it.
  • Check your status on the employer’s iCIMS Dashboard, under Past Job Submittals.

Already applied? Track this application

Demand for AI Engineer roles

New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.

Weekly new AI Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 7, the most 65, and the latest week had 65.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under AI Engineer, by the work the posting describes.

AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.

Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.

An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.

Job description

View original posting ↗

Description

Markon is seeking an AI/ML Engineer (Full Performance) to support an Intelligence Community client in McLean, Virginia. This position will design, develop, integrate, and maintain AI/ML-enabled applications supporting mission-critical enterprise capabilities, with a focus on large language model (LLM) integration, agent-based workflows, and retrieval-augmented generation (RAG). The AI/ML Engineer will work across application development, data engineering, and system integration to deliver scalable, reliable, and production-ready AI solutions that connect with enterprise tools, data sources, and existing systems.

Responsibilities

  • Design, develop, implement, and maintain AI/ML-enabled applications, emphasizing LLM integration, agent-based workflows, and RAG 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 RAG 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.

Qualifications

Required:

  • Active TS/SCI clearance with Full Scope Polygraph.
    • Bachelor's degree and at least 3 years of related experience; OR
    • Master's degree and at least 1 year of related experience; OR
    • PhD with no additional experience required; OR
    • 6 years of equivalent relevant work experience and no degree.
  • Experience developing AI/ML-enabled applications, including LLM integration, agent-based workflows, RAG, or similar retrieval-based capabilities.
  • Proficiency in Python, common AI/data libraries, and AI frameworks supporting LLM application development.
  • Experience implementing agent orchestration, tool integration, memory/context management, and connections to external systems.
  • Strong understanding of AI/ML fundamentals, including transformers, machine learning algorithms, LLM behavior, data processing, and model integration.
  • Experience developing or integrating REST APIs and Python-based backend services.
  • Experience with PostgreSQL or other relational databases, including schema design, indexing, and query optimization.
  • Understanding of production-ready software development practices, including application testing, reliability, deployment, performance optimization, and maintainability.

Desired:

  • Experience with Model Context Protocol (MCP) 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 LLM 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.

Salary Range

USD $130,000.00 - USD $160,000.00 /Yr.The Markon pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Overview

Eager to join a team where your skills are valued, your growth is nurtured, and your impact is profound? Look no further than Markon, a premier consulting firm deeply dedicated to advancing our nation's most critical missions.

 

At Markon, we don't just offer jobs – we offer opportunities for personal and professional transformation. Empowering our employees to lead, innovate, and excel, we foster an environment where new ideas are not just welcomed but celebrated. As a perennial Washington Post Top Workplace, we prioritize the well-being and success of our team members, ensuring they can bring their best selves to work.

 

Headquartered in Falls Church, Virginia, Markon has garnered national recognition for our unwavering dedication to excellence in serving the intelligence community, as well as federal civilian and defense agencies. Our growing reach extends across 17 states, 116 countries, and 5 continents, where our team of dynamic professionals collaborates to deliver unparalleled program and project management services.

 

Markon values people and the tremendous impact each individual can make – which is why we’re consistently recognized as one of the best places to work in federal government consulting. Here, you can help solve the nation’s most important challenges, surrounded by colleagues who help you grow, advance, and succeed. We are deeply dedicated to what matters – bringing out the best in each other to advance our clients’ missions.Join us and make a meaningful impact.

 

Markon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, national origin, age, protected veteran status, or disability status. This job posting will remain open until the position is filled.

 

Benefits Offered: 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, and Holidays

Source details

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Pay
Salary Range USD $130,000.00 - USD $160,000.00 /Yr.The Markon pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Overview Eager to join a team where your skills are valued, your growth is nurtured, and your impact is profound? Look no further than Markon, a premier consulting firm deeply dedicated to advancing our nation's most critical missions.
Location & working pattern

McLean, VA

Working pattern and location restrictions need checking in the full posting.

Work authorization

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