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Llm Engineer Remote Jobs in Reston, VA (NOW HIRING)

OpenDataJobs

Senior Generative AI Engineer

Washington, DC · On-site +1

$62.50 - $80.75/hr

They understand that deploying an LLM inside a production workflow is a fundamentally different ... Remote location but greater Washington, DC area preferred for hybrid engagement * Sponsored AWS ...

Deltek, Inc.

Pncpl Software Engineer

Herndon, VA · Remote

08-Jan-2026 Principal AI Applications Engineer US (Remote), US-Herndon-VA 10558BR Company Summary ... Implement sophisticated prompt engineering and LLM integration solutions, ensuring security ...

Deltek

Pncpl Software Engineer

Herndon, VA · Remote

08-Jan-2026 Principal AI Applications Engineer US (Remote), US-Herndon-VA 10558BR Company Summary ... Implement sophisticated prompt engineering and LLM integration solutions, ensuring security ...

Platinum Technologies

AI Engineer

Washington, DC · On-site +1

This role is remote/hybrid in the VA/MD/DC area. There may be occasional travel to client site in ... Experience with open-source LLM hosting and inference optimization. Familiarity with MCP (Model ...

Elder Research

AI/ML Engineer

Washington, DC · Remote

$144K - $187K/yr

... Polygraph Remote Type N/A Time Type Full time Description & Requirements Elder Research Inc., a ... LLM integration, or related AI workflows. * Strong proficiency in Python and modern AI/ML libraries ...

Q2Impact

Solutions Systems Engineer

Washington, DC · Remote

... LLM scenario-generation tooling and rapid design templates, validated through the engineering team ... Remote, with participation in client pitches and live demos as required. - Term. Initial six-month ...

New

Q2Impact

Solutions Systems Engineer

Washington, DC · On-site +1

... LLM scenario-generation tooling and rapid design templates, validated through the engineering team ... Remote, with participation in client pitches and live demos as required. - Term. Initial six-month ...

New

Anika Systems

AI Engineer

Leesburg, VA · Remote

This position is currently remote; however, in accordance with federal contract requirements and ... LLM based or Generative AI solutions. * Strong production experience in Python and TypeScript ...

Anika Systems

AI Engineer

Leesburg, VA · On-site +1

This position is currently remote; however, in accordance with federal contract requirements and ... focus on LLM based or GenerativeAI solutions. * Strong production experience in Python and ...

Deltek, Inc.

Software Engineer

Herndon, VA · On-site +1

$63K - $111K/yr

11-May-2026 Software Engineer US (Remote) 10790BR Company Summary As the recognized global standard ... Has worked with at least one LLM API (Anthropic Claude or OpenAI); understands prompt construction ...

Comcast

Python Engineer, Agentic AI

Washington, DC · On-site +1

$142K - $213K/yr

... remote option.) Job Summary About the Role We are looking for a motivated Software Engineer to join ... AI/LLM Interest : Exposure to LLMs or agent frameworks Infrastructure : Familiarity with cloud ...

Comcast

Python Engineer, Agentic AI

Washington, DC · On-site +1

$142K - $213K/yr

... remote option.) Job Summary About the Role We are looking for a motivated Software Engineer to join ... AI/LLM Interest : Exposure to LLMs or agent frameworks Infrastructure : Familiarity with cloud ...

Jobgether

Senior AI Platform Engineer

Washington, DC · Remote

$138K - $182K/yr

Design and implement LLM-based pipelines, RAG systems, and agentic workflows for spend analysis ... Remote flexibility within Canada with startup-style autonomy and ownership

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All JobsLlm Engineer Remote JobsLlm Engineer Remote Jobs in Reston, VA

Llm Engineer Remote information

See Reston, VA salary details

$26

$55

$79

How much do llm engineer remote jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for llm engineer remote in Reston, VA is $55.80, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $64.76 per hour, depending on experience, location, and employer.

What is the difference between Llm Engineer Remote vs Data Scientist Remote?

AspectLlm Engineer RemoteData Scientist Remote
Required CredentialsAdvanced degree in CS, ML, or related field; experience with NLP and deep learningDegree in CS, Statistics, or related; experience with data analysis and machine learning
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesData analysis, model development, reporting; across various industries
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, tech, e-commerce, and more

While both roles involve machine learning, Llm Engineers focus on developing large language models and NLP applications, often requiring deep expertise in AI research. Data Scientists analyze data to inform business decisions, with broader industry applications. The roles share some credentials but differ in focus and daily tasks.

What are some typical challenges faced by remote LLM Engineers when collaborating with cross-functional teams?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers to develop and deploy large language models. One common challenge is ensuring clear and consistent communication across different time zones and technical backgrounds, which can sometimes lead to misaligned project goals or delays. To overcome this, many teams rely on detailed documentation, regular virtual meetings, and collaborative project management tools. Building strong relationships remotely and proactively sharing updates can make collaboration smoother and more productive.

What are the key skills and qualifications needed to thrive as an LLM Engineer in a remote role, and why are they important?

To thrive as an LLM Engineer remotely, you need strong expertise in machine learning, natural language processing, and proficiency with programming languages such as Python, often supported by a degree in computer science or related fields. Familiarity with frameworks like PyTorch or TensorFlow, experience with cloud platforms (AWS, GCP), and knowledge of large language model architectures are commonly required. Excellent problem-solving skills, self-motivation, and effective remote communication make candidates stand out. These capabilities are crucial for developing, deploying, and maintaining advanced language models while collaborating efficiently with distributed teams.

What is an LLM Engineer (Remote)?

An LLM Engineer, or Large Language Model Engineer, is a professional who designs, develops, and optimizes applications using advanced AI language models such as GPT-4 or similar technologies. Working remotely, they are responsible for integrating these models into products, fine-tuning them for specific tasks, and ensuring their performance and reliability. LLM Engineers often collaborate with data scientists, software developers, and product managers to create solutions in areas like chatbots, content generation, and natural language processing. Their work requires a strong background in machine learning, programming, and cloud computing.
What are popular job titles related to Llm Engineer Remote jobs in Reston, VA? For Llm Engineer Remote jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Llm Engineer Remote jobs in Reston, VA look for? The top searched job categories for Llm Engineer Remote jobs in Reston, VA are:
What cities near Reston, VA are hiring for Llm Engineer Remote jobs? Cities near Reston, VA with the most Llm Engineer Remote job openings:
Llm Engineer Remote jobs near you
Infographic showing various Llm Engineer Remote job openings in Reston, VA as of June 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% Remote job distribution, with an average salary of $116,054 per year, or $55.8 per hour.

Senior Generative AI Engineer

OpenDataJobs

Washington, DC • On-site, Remote

$62.50 - $80.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI engineering support for a major federal agency. The role centers on developing cloud-native generative AI solutions and intelligent data pipelines on AWS, spanning intelligent document processing, computer vision, and related AI / ML domains.

The ideal candidate is energized and motivated with an extreme commitment to delivery and transformational change through the use of AI. They will think about generative AI in two dimensions: as a tool that makes them and their team dramatically faster, and as a core component of the intelligent systems they build. They understand that deploying an LLM inside a production workflow is a fundamentally different engineering challenge than using one to write a function, and they have done both. They take initiative without being asked and want ownership of the firm's trajectory, not just their deliverables.

Our client is a Benefit corporation - legally committed to creating measurable social value alongside business performance. They offer mission-driven, technically challenging work on complex federal initiatives, paired with direct client access, real ownership of your work product, and a culture that rewards initiative.

Responsibilities

Client Delivery:

  • Design and deploy production-grade Agentic AI systems where LLMs serve as operational components to reason, explain, and make decisions within live workflows
  • Architect intelligent pipelines combining classical tools (OCR, fuzzy matching, structured query) with LLM-based validation, confidence scoring, fallback logic, and automated logging for auditability and continuous improvement
  • Translate ambiguous mission requirements into well-scoped AI system designs; apply prompt and context engineering, RAG, semantic search, and fine-tuning as appropriate; leverage AWS services including Bedrock, Textract, Lambda, and Step Functions
  • Use generative AI tooling to accelerate the full development lifecycle: requirements analysis, code generation, test coverage, documentation, and deployment scaffolding
  • Document and quality-assure all project work prior to client delivery; attend meetings with agency staff, vendors, and external stakeholders as needed

Firm Development:

  • Lead or contribute to business development, internal tool-building, mentorship, or publication to strengthen the firm's AI capabilities and market position

Requirements

Core Technologies:

  • AWS Certification required: Certified AI Practitioner, or relevant AWS Associate, Specialist, or Professional-level certification
  • Hands-on proficiency with AWS tools such as Amazon Bedrock, Textract, Step Functions, Lambda, Glue, CloudFormation, CDK, Cognito and related AWS services
  • Python fluency including LangChain and AWS Strands; experience with vector databases and embedding workflows
  • Experience with Model Context Protocol (MCP) to connect LLMs to external tools, APIs, and data sources; ability to design and implement MCP servers and clients in production architectures
  • Advanced SQL, cloud-native data pipeline management, and ETL workflows

Domain Expertise & Professional Skills:

  • Expert knowledge of LLM behavior, confidence calibration, evaluation, and responsible AI principles. Knowledge includes explainability, auditability, and governance in regulated environments
  • Experience with DevSecOps and MLOps: GitHub, CloudFormation, and related tools for version control, CI/CD, pipeline deployments, system and model monitoring, and drift detection
  • Domain knowledge of federal data environments, government IT modernization, or public sector AI adoption
  • Excellent written and oral communication skills; proven collaborator in professional or academic settings

Professional Experience:

  • Bachelor's required, advanced degree preferred; Computer Science, Data Science, AI, Applied Mathematics, Statistics, or related quantitative field strongly preferred
  • 8+ years in software development, ML engineering, or data science; background in computer science or related technical and/or quantitative fields
  • Multi-modal AI experience (vision, document understanding, structured extraction)
  • Prior consulting, or client-services experience strongly preferred
  • Open-source contributions or published GenAI research preferred
  • Familiarity with OMB AI guidance and the NIST AI Risk Management Framework preferred
  • U.S. citizenship; ability to obtain a Public Trust suitability determination required

Benefits

Our client offers a comprehensive and competitive benefits package, including:

  • Full health coverage (medical, dental, and vision) with 100% of employee premiums covered
  • Life and disability insurance, fully covered by the company
  • 401(k) retirement plan with 100% match on contributions up to 4% of salary with immediate vesting
  • Unlimited Paid Time Off (PTO) to encourage work-life balance
  • Remote location but greater Washington, DC area preferred for hybrid engagement
  • Sponsored AWS certification training

Our client is an equal opportunity employer.

Apply