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

Eliassen Group

ETL Data Engineer

Tysons, VA · Remote

$70 - $88/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Hybrid 3 days onsite / 2 days remote in Mclean, VA Our client seeks an ETL Data Engineer to build ... The role spans Spark-based ETL on AWS data lake platforms and development of LLM-powered agents ...

VIS IT Solutions Inc

Angular Developer

Dulles, VA · Remote

$56 - $68.50/hr

Remote - Design and build scalable, maintainable frontend systems using Angular (v16+). - Develop ... LLM-based assistants, and automation agents into frontend workflows and user experiences. - Work ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

GenAI Data Automation Engineer Location: Washington, DC (Remote) Type: Contract To Hire ... Familiarity with LLM, Gen AI frameworks using AWS Bedrock, Azure OpenAI or open source platforms ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

GenAI Data Automation Engineer Location: Washington, DC (Remote) Type: Contract To Hire ... Familiarity with LLM, Gen AI frameworks using AWS Bedrock, Azure OpenAI or open source platforms ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

GenAI Data Automation Engineer Location: Washington, DC (Remote) Type: Contract To Hire ... Familiarity with LLM, Gen AI frameworks using AWS Bedrock, Azure OpenAI or open source platforms ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

GenAI Data Automation Engineer Location: Washington, DC (Remote) Type: Contract To Hire ... Familiarity with LLM, Gen AI frameworks using AWS Bedrock, Azure OpenAI or open source platforms ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

GenAI Data Automation Engineer Location: Washington, DC (Remote) Type: Contract To Hire ... Familiarity with LLM, Gen AI frameworks using AWS Bedrock, Azure OpenAI or open source platforms ...

Knak Digital

Full Stack Developer

Washington, DC · Remote

This role is for a senior remote full-stack developer who is comfortable making technical decisions ... Design and integrate RESTful APIs, GraphQL endpoints, and AI-assisted features including LLM ...

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All JobsLlm Engineer 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 Aug 17, 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 an LLM engineer?

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 the key skills and qualifications needed to thrive as an LLM engineer in a remote role?

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 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 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 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 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $116,054 per year, or $55.8 per hour.

ETL Data Engineer

Eliassen Group

Tysons, VA • Remote

$70 - $88/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 13 days ago

Job description

Description:

Hybrid 3 days onsite / 2 days remote in Mclean, VA

Our client seeks an ETL Data Engineer to build and maintain large-scale data pipelines and to design agentic AI systems that support regulatory analytics. The role spans Spark-based ETL on AWS data lake platforms and development of LLM-powered agents with secure, auditable outputs. The engineer will collaborate across teams, uphold secure development practices, and contribute to CI/CD and infrastructure-as-code while monitoring data quality and production performance.

We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $70.00 to $88.00/hr. w2

Responsibilities:
  • Build and maintain ETL/ELT pipelines using Apache Spark, Hive, and Trino across S3-based data lakes.
  • Develop and optimize SQL for large-scale surveillance datasets using window functions, joins, and complex aggregations.
  • Engineer big data systems on EMR-on-EC2 and EMR-on-EKS and deliver solutions on analytical platforms such as SageMaker, Domino, or Dataiku.
  • Participate in data quality monitoring, anomaly detection, and production incident investigation.
  • Develop AI agent systems using AWS Bedrock and agent frameworks such as Strands Agents SDK or LangChain/LangGraph.
  • Design agent harnesses that combine LLM reasoning with deterministic execution including skill or RAG-based SQL generation and structured output validation.
  • Implement agent memory, context management, and tool integration including MCP servers, API connectors, and data catalog lookups.
  • Build evaluation frameworks for agent accuracy covering paraphrase robustness, routing precision, and structural consistency.
  • Stay informed on advances in LLM frameworks and emerging AI capabilities.
  • Write clean, well-tested code and contribute to CI/CD pipelines and infrastructure-as-code on AWS.
  • Ensure secure handling of sensitive regulatory data with auditable execution traces.
  • Adhere to secure development practices and technology policies.
  • Partner across teams, communicate at the appropriate technical level, and maintain documentation on Confluence or Wiki.
  • Learn from senior team members and contribute to process improvement.
Experience Requirements:
  • Experience building data pipelines with Apache Spark (PySpark preferred) and SQL.
  • Experience with SQL engines such as Hive or Trino and cloud data platforms including AWS S3, EMR, and Lambda.
  • Understanding of data skew, large-volume processing, and troubleshooting job failures due to resources, data quality, and scalability.
  • Hands-on debugging and mitigation experience.
  • Practical experience building LLM-powered agent systems that use tools and produce structured outputs.
  • Experience with agent frameworks such as LangChain, LangGraph, or AWS Strands.
  • Knowledge of prompt engineering, RAG architectures, and context or memory management.
  • Experience with foundation model APIs such as Anthropic Claude, Amazon Nova, or OpenAI.
  • Understanding of agent memory tiers and strategies for persistence, pruning, and retrieval.
  • Familiarity with harness patterns including deterministic guardrails, tool routing, and verification loops.
  • Hands-on experience with AI development tools such as GitHub Copilot, Q Developer, ChatGPT, or Claude.
  • Experience with spec-driven development for AI-assisted code generation and validation.
  • Ability to leverage AI pair programming for suggestions, debugging, refactoring, and automated test generation.
  • Experience with AWS services including S3, EMR, EMR on EKS, Lambda, Bedrock, and Step Functions.
  • Hands-on experience using S3 with Spark and related file format or consistency considerations.
  • Familiarity with AWS Bedrock guardrails, knowledge bases, and agent orchestration.
  • Exposure to Google Cloud Vertex AI or equivalent managed AI platforms.
  • Familiarity with AWS monitoring and logging tools such as CloudWatch and CloudTrail.
  • Proficiency in Python with clean, modular, and performant code and understanding of functional concepts.
  • Strong understanding of collections, concurrency, and memory management.
  • Proficiency with SQL window functions, joins, aggregations, and complex query optimization including edge cases.
Education Requirements:
  • Bachelor's degree in Computer Science, Data Science, Information Systems, or related discipline with at least two years of related experience, or equivalent training and work experience. Financial services experience preferred.
  • Demonstrated expertise in object-oriented and database technologies resulting in enterprise-quality solutions.
  • Knowledge of software engineering approaches including test automation, build automation, and configuration management.
  • Strong written and verbal technical communication skills and effective cross-team collaboration.
  • Ability to learn new skills rapidly and operate in a fast-paced environment.
Recruitment Transparency Notice
 
Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (noreply@eliassen.com, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process.
 

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

· When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

· Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contact fraud@eliassen.com.

 
About Eliassen Group:
 
Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.
 
Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.
 
Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
 
Eliassen Group logo

About Eliassen Group

Sourced by ZipRecruiter

Eliassen Group provides strategic consulting and talent solutions to drive our clients' innovation and business results. Our purpose is to positively impact the lives of our employees, clients, consultants, and the communities in which we operate. Leveraging over 30 years of success, our expertise in talent solutions, life sciences consulting, Agile consulting, cloud services, risk management, business optimization, and managed services enables us to partner with our clients to execute their business strategy and scale effectively. Headquartered in Reading, MA, and with offices from coast to coast, Eliassen Group offers local community presence and deep networks, as well as national reach.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Reading, MA, US

Year founded

1989

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