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Freelance Large Language Model Llm Jobs in Washington

LLM Specialist

Columbia, MD · On-site

$104K - $145K/yr

The LLM Specialist will drive the design, development, and operationalization of advanced large-language-model capabilities across a cloud-based analytics ecosystem. This role leads innovation ...

LLM Specialist

Columbia, MD · On-site +1

$104K - $145K/yr

The LLM Specialist will drive the design, development, and operationalization of advanced large-language-model capabilities across a cloud-based analytics ecosystem. This role leads innovation ...

LLM Specialist

Columbia, MD · On-site

$104K - $145K/yr

The LLM Specialist will drive the design, development, and operationalization of advanced large-language-model capabilities across a cloud-based analytics ecosystem. This role leads innovation ...

AI Platform Architect

Washington, DC · On-site

$170K - $185K/yr

Build and optimize Large Language Model (LLM) and Generative AI applications.Owns target architecture and technical decisions across Postgres/object storage, agentic runtime, inference gateway, APIs ...

New

Build and optimize Large Language Model (LLM) and Generative AI applications. * Owns target architecture and technical decisions across Postgres/object storage, agentic runtime, inference gateway ...

Develop and support Generative AI and Large Language Model (LLM) solutions, including model configuration, system prompts, classifiers, fine-tuning, content moderation, safety filters, and other ...

The ideal candidate is a technically proficient and strategically minded professional with hands-on experience implementing AI-powered solutions, including large language model (LLM) platforms such ...

The ideal candidate is a technically proficient and strategically minded professional with hands-on experience implementing AI-powered solutions, including large language model (LLM) platforms such ...

The ideal candidate is a technically proficient and strategically minded professional with hands-on experience implementing AI-powered solutions, including large language model (LLM) platforms such ...

LLM Specialist

Columbia, MD · On-site +1

$93K - $100K/yr

The LLM Specialist will drive the design, development, and operationalization of advanced large-language-model capabilities across a cloud-based analytics ecosystem. This role leads innovation ...

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Freelance Large Language Model Llm information

What is a freelance large language model llm?

Freelance Large Language Model (LLM) professionals are independent experts who work with advanced AI language models, such as OpenAI’s GPT or Google’s PaLM, to build, fine-tune, or integrate these models into various applications. They may assist clients with prompt engineering, creating chatbots, developing AI-powered tools, or consulting on best practices for using LLMs. Freelance LLM specialists often work on a project basis, offering their expertise to businesses, researchers, or startups looking to leverage the power of AI-driven language processing.

What are the key skills and qualifications needed to thrive as a freelance large language model llm?

To thrive as a Freelance Large Language Model (LLM) Specialist, you need a solid background in machine learning, natural language processing, and programming—often supported by a degree in computer science, data science, or related fields. Familiarity with frameworks and tools like TensorFlow, PyTorch, Hugging Face Transformers, and cloud platforms, as well as experience with prompt engineering and model fine-tuning, is essential. Strong problem-solving abilities, effective communication, and adaptability help you stand out when collaborating with clients and addressing diverse project needs. These skills ensure you can deliver high-quality, tailored LLM solutions that meet clients' technical and business goals.

What are some common challenges faced by freelance large language model llm specialists when working with clients?

Freelance LLM specialists often encounter challenges such as clearly defining project scope, managing client expectations around model capabilities, and ensuring data privacy in client collaborations. Since clients may have varying levels of technical understanding, effective communication is key to aligning on deliverables and timelines. Additionally, freelancers must stay updated on the latest advancements in LLM technology and best practices to consistently deliver high-quality results and remain competitive in the rapidly evolving AI landscape.

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

AspectFreelance Large Language Model LlmFreelance Data Scientist
Required CredentialsKnowledge of NLP, machine learning, programming skillsStatistics, programming, data analysis
Work EnvironmentRemote, project-based, tech-focusedRemote or on-site, research and analysis-driven
Industry UsageAI development, NLP applications, tech companiesBusiness analytics, AI, finance, healthcare
Common Search/ComparisonYesYes

Freelance Large Language Model Llm specialists focus on developing and fine-tuning NLP models, often working with AI and tech companies. Freelance Data Scientists analyze data to inform business decisions across various industries. While both roles require programming and analytical skills, Llm freelancers specialize in language models, whereas Data Scientists work broadly with data analysis and insights.

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:

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For Freelance Large Language Model Llm jobs in Washington, the most frequently searched job titles are:

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Cities in Washington with the most Freelance Large Language Model Llm job openings:

Infographic showing various Freelance Large Language Model Llm job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 6% Part Time, 2% Temporary, and 8% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

LLM Specialist

eSimplicity

Columbia, MD • On-site

$104K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

Description:

About Us:

eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow.


Responsibilities:

The LLM Specialist will drive the design, development, and operationalization of advanced large-language-model capabilities across a cloud-based analytics ecosystem. This role leads innovation efforts around cutting-edge AI, owning the architecture and strategy for fine-tuning, retrieval-augmented generation (RAG), agentic frameworks, and domain-specific model adaptation. The specialist will guide the development of high-impact prototypes, oversee the evolution of scalable LLM pipelines, and ensure robust governance, security, and performance across all model implementations. Partnering with engineering, product, and data teams, this position provides technical leadership, evaluates emerging LLM technologies, sets best practices, and helps drive transformation through the practical, safe, and effective deployment of generative AI.

Requirements:
  • All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation.
  • Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field, with 5+ years of relevant experience in software engineering, systems engineering, AI/ML, or a related discipline.
  • Experience designing, developing, integrating, and supporting Large Language Model (LLM) and Generative AI solutions, including transformer-based architectures.
  • Experience with LLM fine-tuning, prompt engineering, and model evaluation, including techniques such as LoRA, PEFT, or similar approaches.
  • Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions, including embeddings, vector databases, retrieval pipelines, and search optimization.
  • Strong proficiency in Python and experience with LLM frameworks such as LangChain, LlamaIndex, or comparable technologies.
  • Experience developing and deploying AI/ML solutions in cloud environments such as AWS, Azure, or GCP, including scalable model training, inference, and performance optimization.
  • Knowledge of MLOps/LLMOps practices, including source control, CI/CD, automated testing, monitoring, model lifecycle management, security, and responsible AI practices.

Desired Qualifications:

  • Experience implementing multi-agent or agentic AI systems for task automation and reasoning.
  • Familiarity with LLM evaluation frameworks, structured benchmarking, or human-in-the-loop refinement methods (e.g., RLHF-style workflows).
  • Expertise with advanced retrieval techniques such as hybrid search, graph retrieval, or long-context optimization.
  • Experience optimizing model inference through quantization, model compression, or model distillation.
  • Background integrating LLM services with large-scale analytics environments (e.g., Databricks, Snowflake, Spark).
  • Strong skills in exploratory data analysis, feature engineering, and data modeling to support domain-specific LLM customization.
  • Experience developing innovative prototypes or POCs that leverage state-of-the-art generative AI approaches.
  • Exposure to emerging architectures such as mixture-of-experts models, long-context transformers, or experimental generative frameworks.


Working Environment:
eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by manager.


Occasional travel for training and project meetings. It is estimated to be less than 5% per year.


Benefits:
eSimplicity offers a comprehensive benefits package, including medical, dental, and vision coverage, 401(k) retirement benefits, paid time off, paid holidays, life and disability insurance, and additional wellness and employee support programs. Eligibility may vary based on employment status and applicable plan terms.


Reasonable Accommodation:
eSimplicity is committed to providing reasonable accommodations to qualified individuals with disabilities during the application and hiring process. Applicants who need assistance or an accommodation should contact Human Resources.


Equal Employment Opportunity:
eSimplicity is an Equal Opportunity Employer, including disability and protected veteran status. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, or any other legally protected status.