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Llm Developer Jobs in Reston, VA (NOW HIRING)

Steampunk

AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Mentor junior developers, conduct code reviews, and support engineering excellence across multi ...

Steampunk

AI Developer

Mclean, VA

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Mentor junior developers, conduct code reviews, and support engineering excellence across multi ...

Aktra

Python Developer

Mclean, VA · On-site

$51.50 - $71/hr

Support AI/LLM-powered applications , workflows, and emerging technologies. * Troubleshoot issues ... Collaborate with developers, architects, and business stakeholders. Required Qualifications * 2-3 ...

Steampunk

AI Developer

Mclean, VA

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Mentor junior developers, conduct code reviews, and support engineering excellence across multi ...

Tetra Tech

Sr. BI Developer

Vienna, VA · On-site

A significant part of this process leverages AI/LLM-generated starting points - structured report scaffolds derived from parsed OBIEE metadata - which the Senior BI Developer will review, validate ...

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All JobsLlm Developer JobsLlm Developer Jobs in Reston, VA

Llm Developer information

See Reston, VA salary details

$26

$52

$82

How much do llm developer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for llm developer in Reston, VA is $52.19, according to ZipRecruiter salary data. Most workers in this role earn between $41.01 and $63.27 per hour, depending on experience, location, and employer.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive as an LLM Developer?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What is the role of a large language model developer?

A large language model developer designs, trains, and fine-tunes AI models that understand and generate human language. They work with machine learning frameworks, manage large datasets, and optimize models for accuracy and efficiency, often requiring knowledge of programming, deep learning, and natural language processing techniques.

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Llm Developer jobs near you
Infographic showing various Llm Developer job openings in Reston, VA as of August 2026, with employment types broken down into 80% Full Time, 5% Part Time, and 15% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $108,555 per year, or $52.2 per hour.

AI Developer

Mclean, VA • On-site

Steampunk
IT Services • 201 - 500 employees
Learn more about Steampunkexternal

$140K - $190K/yr

Other

Re-posted 28 days ago

Job description

Overview
We are looking for a highly skilled AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires strong hands-on engineering capabilities, deep familiarity with modern AI architectures, and the ability to translate mission needs into robust, production-ready AI capabilities. The Senior AI Developer will work across the full stack of AI development, from data ingestion and model experimentation to application integration, orchestration, and deployment, and will collaborate closely with product teams, LLMOps engineers, designers, and mission stakeholders.
Contributions
  • Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi-agent workflows, RAG pipelines, and specialized AI microservices.
  • Implement reusable AI components, libraries, and APIs that streamline application development and accelerate delivery across programs.
  • Integrate AI models with enterprise systems, APIs, data platforms, vector databases, and cloud-native services to deliver scalable mission capabilities.
  • Drive iterative experimentation, prototyping, and model improvement cycles in collaboration with Data Scientists and AI Evaluation Scientists.
  • Design and implement advanced prompt strategies, context management layers, retrieval systems, and LLM orchestration logic.
  • Build scalable inference services, optimize model performance, and collaborate with LLMOps to enable robust deployment, monitoring, and continuous improvement.
  • Translate user needs and mission workflows into intuitive, reliable AI-powered features through active partnership with designers and product teams.
  • Implement secure-by-design and trustworthy AI practices, including safety guardrails, input sanitization, content filtering, and integration of evaluation metrics.
  • Contribute to internal AI frameworks, code patterns, and shared accelerators that raise delivery quality across the AI & Data Exploitation Practice.
  • Mentor junior developers, conduct code reviews, and support engineering excellence across multi-disciplinary AI delivery teams.
  • Stay current with emerging AI techniques, libraries, foundation models, and agent frameworks, evaluating their applicability to client missions.
  • You will contribute to the growth of our AI & Data Exploitation Practice!

Qualifications
  • Ability to hold a position of public trust with the U.S. government.
  • Bachelor's degree and 5 years of relevant experience; OR
    • Master's degree and 3 year of relevant experience; OR
    • No degree and 9 years of relevant experience.
  • Proficiency in Python; comfortable working across the AI/ML tooling ecosystem
  • Solid understanding of RAG architectures - chunking strategies, embedding models, vector stores, retrieval evaluation
  • Experience with at least one LLM orchestration framework (LangChain, LlamaIndex, LangGraph, CrewAI, or equivalent)
  • Strong prompt engineering skills - system prompts, few-shot design, chain-of-thought, and iterative refinement
  • Experience containerizing and deploying applications with Docker
  • Proficiency with Git and collaborative version control workflows
  • Ability to read and write REST APIs; comfortable integrating third-party services and models
  • Strong communication skills - you will interact with clients and translate fuzzy requirements into working systems
  • Ability to hold a position of public trust with the U.S. government.

Preferred
  • Experience with cloud-native AI services, particularly AWS Bedrock for managed LLM inference
  • Familiarity with serverless compute (AWS Lambda) and managed ETL pipelines (AWS Glue) for data ingestion workflows
  • Working knowledge of vector and relational data stores including AWS RDS Postgres (pgvector) and OpenSearch
  • Container orchestration experience with Kubernetes for deploying and scaling AI services
  • CI/CD pipeline experience with Jenkins or similar build orchestration tools
  • Observability and logging experience for LLM pipelines - LangSmith, Arize, or equivalent
  • Familiarity with LLM evaluation frameworks such as RAGAS or DeepEval for measuring RAG and model quality
    • Hands-on experience with workflow automation platforms - n8n, Prefect, Airflow, or similar
    • Experience with MCP and tool-serving infrastructure (MCPO or similar)
    • Experience designing multi-agent systems with agent-to-agent coordination patterns
    • Experience with graph databases (Neo4j, Memgraph) and Graph RAG approaches
    • Prior consulting, agency, or client-delivery experience

About steampunk
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $140,000 to $190,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. If you want to learn more about our story, visit http://www.steampunk.com.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.

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