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Llm Engineer Remote Jobs in Washington (NOW HIRING)

Goldman Edwards, Inc.

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AI Foundry Engineer (Remote)

Washington, DC · Remote

AI Foundry Engineer (US - Remote) Position summary We are seeking a highly skilled AI Foundry ... testing AI and LLM's using tools to evaluate accuracy, bias, and reliability of AI tools and ...

eSimplicity

Data Engineer II

Columbia, MD · On-site +1

$93K - $100K/yr

The LLM Specialist will drive the design, development, and operationalization of advanced large ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

eSimplicity

Data Engineer II

Columbia, MD · On-site +1

The LLM Specialist will drive the design, development, and operationalization of advanced large ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

Kobie Marketing

AI Engineer

Annapolis, MD · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore ...

Kobie Marketing

AI Engineer

Annapolis, MD · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore ...

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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, and why are they important?

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 (Remote)?

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 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 July 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution.

AI Foundry Engineer (Remote)

Goldman Edwards, Inc.

Washington, DC • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

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Job description

AI Foundry Engineer (US - Remote)


Position summary

We are seeking a highly skilled AI Foundry Engineer with a strong ability to translate complex business requirements into actionable prompts that effectively guide AI foundry platforms across ecosystems supporting mission-critical federal technology initiatives. Reporting to the Sr. Architect, the AI Foundry Engineer will ....


What will you do in this role?

§ Understand and translate business requirements and problem statements into a set of prompts that direct AI foundry platforms and ecosystems to generate full stack, AI and agent-based systems

§ Assess the generated systems code to discover design gaps and inefficiencies, standard and coding style issues. Identify and implement fixes in the design and code as necessary

§ Test, verify, and deploy the end-to-end system / application


What do you need to succeed in this role?

§ 20+ years of overall software, distributed systems, and cloud native system development experience

§ Coding standards (Google JavaScript / JSON style guide, PEP 8 style guide)

§ Design patterns (GOF, Others)

§ Architecture frameworks

§ 2-3+ years of developing and integrating AI, Gen AI, and agentic AI algorithms, models, frameworks, and prompt engineering

§ Knowledge about emerging standards for AI agent ecosystem

§ SME / Power user for at least one Gen AI system (Gemini, ChatGPT, Claude, CoPilot)

§ Prompt engineering - translating business / user requirements into prompts

§ 5-7+ years of in-depth, hands-on experience with one or more web application frameworks and programming languages

§ Angular, React, Python, NodeJS, Rust

§ Minimum of 5 years in-depth, hands-on experience with one or more cloud tech stacks, including virtual network architecture, design, implementation and management

§ AWS / Google (preferred)

§ AZURE / Oracle

§ Minimum of one-year in-depth, hands-on experience with one or more QA frameworks and test automation platforms

§ Experience in testing AI and LLM’s using tools to evaluate accuracy, bias, and reliability of AI tools and systems

§ Hands-on experience in using tools such as Brainstrust and Galileo


In addition, specific skills/experience required are as follows:

§ Values driven – You embody and model absolute integrity and servant leadership and you have a bias for action and continuous innovation.

§ Uncompromising problem solver – You see opportunities in every business challenge and can develop, articulate and implement solutions.

§ Collaboration – You are a relationship builder across all levels of the organization and across all business units.


Company Description

Goldman Edwards is a leader in the application of systems engineering across a wide array of large-scale system development and mission critical programs used by government and industry. We provide world-class talent, proven management, and technical processes to manage the most complex projects—from concept through deployment.