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Llm Engineer Remote Jobs in Washington (NOW HIRING)

AppFolio

Sr. Software Engineer - Accounting

Washington, DC · On-site +1

$138K - $182K/yr

... an LLM backed workflow system - Realm Flows. These and other features enable us to provide ... We support fully remote work, but we have very nice offices in Santa Barbara, CA and San Diego, CA.

Carlyle

Engineer, AI & Process Automation

Washington, DC · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

C and NY Employees or Remote Responsibiltiies Solution Delivery (75%) * Embed with business ... Build AI native applications including agentic workflows, LLM powered analytics, document ...

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 ...

Clearview AI

Senior Machine Learning Engineer

Washington, DC · On-site +1

$180K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Remote USA Compensation: $180,000 - $250,000 / year Description Clearview AI is the leading ... Experience building LLM or VLM pipelines and the evaluation frameworks to measure their performance

Oddball

Applied AI/ML Engineer

Washington, DC · On-site +1

  • Retirement

  • PTO

Develop and integrate GenAI solutions (e.g., LLM-based workflows, retrieval-augmented generation ... Hybrid/Remote. Candidates must be located in the DMV area (DC, Maryland, Virginia) and able to ...

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Llm Engineer Remote information

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 the most commonly searched types of Llm Engineer jobs in Washington?

The most popular types of Llm Engineer jobs in Washington are:

What are popular job titles related to Llm Engineer Remote jobs in Washington?

For Llm Engineer Remote jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Llm Engineer Remote jobs in Washington look for?

The top searched job categories for Llm Engineer Remote jobs in Washington are:

What cities in Washington are hiring for Llm Engineer Remote jobs?

Cities in Washington with the most Llm Engineer Remote job openings:

Llm Engineer Remote jobs near you
Infographic showing various Llm Engineer Remote job openings in Washington as of August 2026, with employment types broken down into 88% Full Time, 2% Part Time, 2% Temporary, and 8% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Senior Cyber AI Operations Engineer (Onsite)

System One

Washington, DC • Remote

Contractor

Re-posted 15 days ago

Job description

Cyber Artificial Intelligence Operations Engineer 100% ONSITE in Washington DC Per Federal contract U.S. Citizenship is required Must be able to pass enhanced background screen (criminal, financial, drug) for Public Trust clearance Long Term Multi-Year Contract W-2 or C2C Application deadline: 7/10/2026 We are seeking a Cyber Artificial Intelligence Operations Engineer with experience implementing artificial intelligence (AI) solutions for cybersecurity purposes. The ideal candidate will have experience working with a variety of AI technologies and models and will have exceptional working knowledge on the architecture and design requirements to implement AI solutions that support cybersecurity operations (e.g., intrusion detection, intrusion prevention, incident response, vulnerability analysis, security tests and evaluations, etc.). This position will require the successful candidate to work as part of a fusion team that includes cybersecurity practitioners to develop and deliver AI-enabled cybersecurity tools and capabilities. Key Responsibilities: • Participate in the delivery of cyber-AI solutions as part of an integrated team that includes traditional AI engineers, AI operators, and cybersecurity subject matter experts all working together to deliver AI-enhanced cybersecurity capabilities. • Design, implement, deploy, maintain, and evolve AI-enhanced cybersecurity solutions that support a broad range of functions including intrusion detection, intrusion prevention, incident response, insider risk, vulnerability analysis, threat hunting, cyber threat intelligence, and security test and evaluation activities. • Instrument AI systems for cybersecurity activities with observability and controllability. • Monitor the performance of AI systems designed for cybersecurity purposes and ensure effectiveness. • Analyze, fine-tune and optimize the performance of the AI systems that are designed to support cybersecurity purposes and mission needs • Develop analytic products and reports that demonstrate the effectiveness of AI-enabled cybersecurity capabilities to include metrics and technical reports. Required Qualifications: • 5+ years of experience in AI, data science, software engineering, with knowledge of data structures that support AI and cybersecurity practices • 2+ years of experience in a security, information security, or cybersecurity field that involves the defense of technical systems • Proficiency with AI infrastructure components, automation tools, and scripting languages such as Python, Bash • Familiarity with one or more of the AI frameworks and tools such as AWS Bedrock and Sagemaker, Transformer, TensorFlow, PyTorch, and Langchain/Llamaindex • Familiarity with open source LLM models, such Llama, Mistral • Experience in fine-tuning LLM models • Knowledge of AI design patterns • Bachelor’s degree in Computer Science, Information Systems, or other related field is required or related work experience Preferred Qualifications: • Hands-on experience with DevSecOps and CI/CD practices • Experience in AWS cloud architecture design and operation • Experience in Terraform, Dockers Kubernetes, and/or Gitlab • Demonstrated effective change champion and ability to work effectively with others (including remote employees) to deliver complex, critical strategic IT initiatives • Experience operating in government environments that follow NIST, FISMA, FedRAMP, and OMB guidance. • Strong problem-solving and analytical skills • Excellent communication and documentation skills #M1 #LI-VH1 Ref: #851-Rockville-S1

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About System One

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System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US

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