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Llm Engineer Remote Jobs in Virginia (NOW HIRING)

Booz Allen Hamilton, Inc.

AI Engineer

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0241255 Location: Arlington,VA,US Share job via: Share AI Engineer ... Experience with basic prompt engineering concepts and use of LLM SDKs or frameworks, including ...

Maximus

Appian Lead Developer

VA · On-site +1

This role is remote and requires a Public Trust security clearance. Maximus TCS (Technology and ... Hands-on experience with AI technologies, AI/ML/LLM integration, generative AI solutions.

Maximus

Appian Lead Developer

VA · On-site +1

This role is remote and requires a Public Trust security clearance. Maximus TCS (Technology and ... Hands-on experience with AI technologies, AI/ML/LLM integration, generative AI solutions.

Maximus

Appian Lead Developer

VA · On-site +1

This role is remote and requires a Public Trust security clearance. Maximus TCS (Technology and ... Hands-on experience with AI technologies, AI/ML/LLM integration, generative AI solutions.

ManTech

Data and AI Solution Engineer

Herndon, VA · Remote

$179K - $318K/yr

Hands-on proficiency with specialized GenAI and LLM hosting platforms such as AWS Bedrock ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

SYSTEM HIGH CORPORATION

Front End Developer

Chantilly, VA · Remote

$107K - $125K/yr

We are seeking a high-velocity, autonomous Front End Developer to join our remote engineering team ... Exposure to or interest in interfacing apps with LLM endpoints, vector embeddings, or intelligent ...

ICF

Senior Salesforce Practice Architect (Remote)

Reston, VA · Remote

$71.75 - $89/hr

Salesforce Certified Platform Developer I * Salesforce Certified Agentforce Specialist * Experience ... Hands-on experience using Codex, LLM-based tools, and agentic AI workflows to accelerate software ...

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Llm Engineer Remote information

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?

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?

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 most commonly searched types of Llm Engineer jobs in Virginia? The most popular types of Llm Engineer jobs in Virginia are:
What are popular job titles related to Llm Engineer Remote jobs in Virginia? For Llm Engineer Remote jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Llm Engineer Remote jobs in Virginia look for? The top searched job categories for Llm Engineer Remote jobs in Virginia are:
What cities in Virginia are hiring for Llm Engineer Remote jobs? Cities in Virginia with the most Llm Engineer Remote job openings:
Llm Engineer Remote jobs near you
Infographic showing various Llm Engineer Remote job openings in Virginia as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Senior Data Engineer -- Azure / Fraud Analytics

Info Gain Consulting

Mclean, VA • On-site, Remote

$123K - $163K/yr

Full-time

Posted 19 days ago

Job description

Location: Remote / Telework (U.S. based) · Occasional on-site collaboration as requested Job Type: Full-time Clearance: Must be able to obtain and maintain a Public Trust background investigation Citizenship: U.S. Citizenship requiredAbout the RoleWe are hiring a Senior Data Engineer to build and maintain the Azure-based data architecture that powers fraud analytics for a federal Office of Inspector General (OIG). You will design integrated, flexible, and secure pipelines that move source data into a modern cloud environment and make it available for audits, investigations, and machine learning.
You’ll work code-first — source control, CI/CD, and reusable modular design are core to how this team operates. If you enjoy owning architecture end to end and partnering with data scientists to make ML pipelines fast and reliable, this role is for you.What You’ll Do
  • Design, implement, and maintain an efficient, secure, stable, and flexible data architecture, with all assets managed via source control
  • Migrate source data to Azure Data Lake Storage (ADLS) and build/maintain ELT/ETL pipelines in Azure Synapse and Azure Machine Learning (SDK V1 and V2)
  • Review and improve existing architecture and pipelines — periodic audits to address bottlenecks, deprecated dependencies, and architecture drift
  • Establish quality controls, error handling, logging, and validation checks across all pipelines
  • Normalize entity attributes (addresses, phone numbers, and other common fields)
  • Optimize ingestion, processing, and storage across diverse datasets, including modern columnar formats such as Parquet
  • Build self-service capabilities so analysts can query and export data for investigations and audits
  • Partner with data scientists to ensure the architecture efficiently supports machine learning workloads
  • Author and maintain SOPs governing authoring, validation, publishing, execution, and monitoring of all pipelines and assets
  • Produce detailed documentation — data dictionaries, ER diagrams, and pipeline process maps
  • Stay current with emerging AI tooling and contribute to efforts evaluating automation and LLM-assisted capabilities
Required Qualifications
  • 5 years of hands-on experience in each of:
    • Maintaining SQL databases and conducting advanced operations in SQL and T-SQL
    • Designing, implementing, and maintaining ELT/ETL processes in cloud-based data analytics environments
  • 3 years of hands-on experience in each of:
    • Working in Azure Synapse and Azure Machine Learning with the modern data stack — certifications preferred (DP-203 or equivalent)
    • Manipulating data in Python (Pandas required; PySpark/Polars preferred; experience with reusable, modular code preferred)
Preferred
  • Implementing pipelines and infrastructure using code-first approaches (Python SDK, CLI, REST APIs, or IaC tooling)
  • Implementing source control and CI/CD workflows
  • Demonstrated familiarity with AI coding assistants and LLM integration patterns
  • Azure certification (DP-203 or equivalent)
Work Schedule & Environment
  • Core hours between 6:00 a.m. and 6:00 p.m. local time, Monday–Friday
  • Telework authorized; occasional on-site meetings and collaboration as requested
  • Government-furnished equipment provided for work on government systems
  • Federal holidays observed