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Remote Large Language Model Llm Jobs in Washington

Node.Digital

Senior Data Engineer

Washington, DC · Remote

$108K - $147K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES * Provide ... Demonstrated familiarity with AI coding assistants and large language model integration patterns.

Node.Digital

Senior Data Engineer

Washington, DC · On-site +1

$120K - $163K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES • Provide ... Demonstrated familiarity with AI coding assistants and large language model integration patterns.

Verisign

Java Software Engineer

Reston, VA · On-site +1

$89K - $121K/yr

Additionally, we are leveraging Large Language Models hosted in the AWS Cloud to serve highly creative suggestions. This is done across 10+ languages (English, French, German, Spanish etc) and ...

GRVTY

Senior Software Engineer

Laurel, MD · On-site +1

$150K - $200K/yr

Possible up to 2 days a week remote if tasking becomes available, but is not guaranteed. What You ... Large Language Models (LLM) * Machine Learning Feature Development * Other Machine Learning models ...

Global Alliant Inc

AI Engineer

Rockville, MD · On-site +1

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG)

10a Labs

AI Red Teamer, Cyber

Washington, DC · Remote

$100K - $120K/yr

Experience testing AI, machine learning, or large language model applications * Familiarity with ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

Global Alliant Inc

AI Engineer

Rockville, MD · Remote

$140K/yr

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG)

Global Alliant Inc

AI Engineer

Rockville, MD · Remote

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG)

10a Labs

Red Teaming Fellowship

Washington, DC · On-site +1

$32.50/hr

Ability to work independently and collaboratively in a remote environment * Experience with Python, Bash, large language models, AI systems, cybersecurity, or research methodologies preferred

SAIC

AI Engineer - SETA

Columbia, MD · On-site +1

$240K - $280K/yr

None Potential for Remote Work: ORA_ON_SITE Description Varen, an SAIC Company is seeking an AI ... large language models, agentic workflows, orchestration frameworks, and supporting software ...

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Remote Large Language Model Llm information

What is a remote large language model LLM?

A Remote Large Language Model (LLM) job involves working with advanced AI models, like GPT or similar, from a remote location. Professionals in these roles may develop, train, fine-tune, or implement large language models for various applications such as natural language processing, chatbots, or content generation. Remote LLM jobs can include positions like machine learning engineer, research scientist, or AI product manager. The work typically requires strong programming skills, experience with AI frameworks, and the ability to collaborate virtually with global teams.

How does a remote large language model LLM engineer typically collaborate with cross-functional teams while working remotely?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers through virtual meetings, collaborative coding platforms, and shared documentation tools. Regular communication is key, with daily stand-ups or weekly syncs to align on project goals, update progress, and address challenges. They may also participate in code reviews, contribute to design discussions, and support model deployment efforts, all within a distributed team environment. This remote structure encourages self-motivation and proactive communication to ensure project success.

What are the key skills and qualifications needed to thrive as a remote large language model LLM engineer?

To thrive as a Remote Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, typically supported by a relevant degree and experience with large-scale models. Proficiency with programming languages like Python, deep learning frameworks such as PyTorch or TensorFlow, and familiarity with cloud platforms and distributed systems are essential. Excellent problem-solving, communication, and collaboration skills are critical for remote teamwork and translating complex requirements into scalable solutions. These skills ensure the effective development, deployment, and maintenance of advanced language models in fast-evolving, distributed environments.

What is the difference between Remote Large Language Model Llm vs Data Scientist?

AspectRemote Large Language Model LlmData Scientist
Required CredentialsAdvanced degrees in AI, NLP, or related fields; experience with machine learning frameworksDegree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentPrimarily remote, focused on developing and fine-tuning language modelsRemote or on-site, analyzing data, building models, and generating insights
Employer & Industry UsageTech companies, AI research labs, startups working on NLP productsTech firms, finance, healthcare, marketing, and research organizations

While both roles involve data and machine learning, a Remote Large Language Model Llm specializes in developing and refining language models, whereas a Data Scientist focuses on analyzing data, building predictive models, and deriving insights across various domains.

What are the most commonly searched types of Large Language Model Llm jobs in Washington? The most popular types of Large Language Model Llm jobs in Washington are:
What are popular job titles related to Remote Large Language Model Llm jobs in Washington? For Remote Large Language Model Llm jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Large Language Model Llm jobs in Washington look for? The top searched job categories for Remote Large Language Model Llm jobs in Washington are:
What cities in Washington are hiring for Remote Large Language Model Llm jobs? Cities in Washington with the most Remote Large Language Model Llm job openings:
Remote Large Language Model Llm jobs near you

Senior Data Engineer

Node.Digital

Washington, DC • Remote

$108K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Senior Data Engineer

Location: Herndon, VA (Remote Work)

Must have an Public Trust Clearance

KEY RESPONSIBILITIES

• Provide authoritative expertise on data engineering methods and best practices, including code first development approaches and modern pipeline design patterns.

• Design, implement, and maintain the data architecture that supports products and end users, with all assets managed under source control.

• Design, implement, and maintain ELT and ETL pipelines for efficient processing of source data in Azure Synapse and Azure Machine Learning, using both SDK V1 and SDK V2.

• Migrate source data identified by SBA OIG into Azure Data Lake Storage.

• Normalize entity attributes such as addresses, phone numbers, and other common fields.

• Review, maintain, and improve existing architecture and pipelines, including periodic audits addressing bottlenecks, deprecated dependencies, and architecture drift.

• Establish quality controls across all pipelines and introduce error handling, logging mechanisms, and validation checks.

• Incorporate source control across all pipelines and analytics codebases so code can evolve iteratively without destabilizing the architecture.

• Optimize ingestion, processing, and storage across a wide variety of datasets and data types, including modern columnar formats such as Parquet.

• Develop self service capabilities that let SBA OIG analysts query and export data for investigations and audits.

• Author robust standard operating procedures governing the authoring, development, validation, publishing, execution, and monitoring of all data pipelines and assets in the Azure environment.

• Produce detailed documentation of the data architecture, including data dictionaries, entity relationship diagrams, and pipeline process maps.

• Maintain and expand the environment with additional datasets and services on request, following a defined intake and testing process before production deployment.

• Stay current with emerging AI tooling relevant to data engineering and contribute to exploratory work evaluating automation and language model assisted capabilities.

Requirements

Education

Bachelor's degree in data engineering, computer science, data science, machine learning, mathematics, or a related field. Alternatively, five years of applied work experience in any of the same fields.

  • 5 years -Maintaining SQL databases and conducting advanced operations in SQL and T-SQL.
  • 5 years - Designing, implementing, and maintaining ELT and ETL processes in cloud based data analytics environments.
  • 3 years -Working in Azure Synapse and Azure Machine Learning with the modern data stack. Certifications preferred, DP-203 or equivalent.
  • 3 years -Manipulating data in Python. Pandas is required. PySpark and Polars preferred. Experience developing reusable, modular code preferred.

PREFERRED QUALIFICATIONS

  • DP-203, Microsoft Certified Azure Data Engineer Associate, or an equivalent current certification.
  • Implementing pipelines and infrastructure using code first approaches: Python SDK, CLI, REST APIs, or infrastructure as code tooling such as Terraform or Bicep.
  • Implementing source control and continuous integration and delivery workflows for data assets.
  • Demonstrated familiarity with AI coding assistants and large language model integration patterns.
  • PySpark or Polars at production scale.
  • Entity resolution and attribute normalization across records with inconsistent addresses, names, and identifiers.
  • Building self service analytic access for non engineering users.

Benefits

We are proud to offer competitive compensation and benefits packages to include

  • Medical
  • Dental
  • Vision
  • Basic Life
  • Health Saving Account
  • 401K matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training