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Llm Engineer Remote Jobs (NOW HIRING)

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... LLM-powered systems. * Technical Skills: * Builder & Deployer: You don't just prototype-you ship.

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... LLM-powered systems. * Technical Skills: * Builder & Deployer: You don't just prototype-you ship.

The AI Engineer (Remote) is responsible for designing, developing, deploying, and maintaining ... Familiarity with LLM-based copilots, agent orchestration, and prompt engineering. Preferred

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... LLM-powered systems. * Technical Skills: * Builder & Deployer: You don't just prototypeyou ship.

Senior AI Engineer - Remote

Dallas, TX · On-site +1

$105K - $147K/yr

LLM/prompt engineering basics * Github/version control * Terminal Typical AI Engineer Role and ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

Senior AI Engineer - Remote

Dallas, TX · Remote

$105K - $147K/yr

LLM/prompt engineering basics * Github/version control * Terminal Typical AI Engineer Role and ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

Senior AI Engineer - Remote

Dallas, TX · Remote

$105K - $147K/yr

LLM/prompt engineering basics * Github/version control * Terminal Typical AI Engineer Role and ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

Description AI Engineer About PulsePoint: PulsePoint is a fast-growing AdTech company using real ... Design, develop, and maintain LLM-based AI components to improve the efficiency of internal teams ...

... engineering, and LLM orchestration • Strong AWS experience including Lambda, S3, DynamoDB, EC2, Fargate, and Bedrock • Experience developing APIs using FastAPI, Django, Flask, or similar ...

Get to Know Us Horizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission ... Summary We are hiring a Staff Attack Engineer specializing in AI/LLM security to join our team. You ...

... with LLM integration patterns such as RAG, agentic loops, and orchestration frameworks like ... Experience leading or mentoring engineering teams in AI or ML platform domains. We're serious about ...

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Llm Engineer Remote information

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$25

$53

$76

How much do llm engineer remote jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for llm engineer remote in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

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.
More about Llm Engineer Remote jobs
What cities are hiring for Llm Engineer Remote jobs? Cities with the most Llm Engineer Remote job openings:
What are the most commonly searched types of Llm Engineer jobs? The most popular types of Llm Engineer jobs are:
What states have the most Llm Engineer Remote jobs? States with the most job openings for Llm Engineer Remote jobs include:
Infographic showing various Llm Engineer Remote job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.
Applied AI Product Engineer (Remote Opportunity)

Applied AI Product Engineer (Remote Opportunity)

VetsEZ

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

EZLabs, the AI innovation division of VetsEZ, is seeking multiple Applied AI Product Engineers to join our growing team in a 100% remote role focused on building intelligent healthcare technology platforms and next-generation AI-driven solutions. At EZ Labs, we are transforming healthcare delivery through technology, innovation, and compassionate design. We partner with care teams, providers, and payers to improve patient engagement, care coordination, and claims management through advanced analytics, intelligent automation, and secure digital platforms.

This role is ideal for a hands-on engineer who thrives at the intersection of AI, product development, and full-stack software engineering. The ideal candidate has practical experience building and deploying real-world AI-powered applications using modern AI development tools such as Cursor, Claude, Codex, OpenAI, and related LLM technologies.

The candidate must reside within the continental US.

Responsibilities:

  • Design, develop, and implement AI-powered features across healthcare product platforms and operational systems.
  • Build full-stack applications using modern AI engineering workflows and tools such as Cursor, Claude, Codex, OpenAI APIs, and related LLM technologies.
  • Collaborate with product managers, designers, engineers, and clinical stakeholders to deliver scalable, user-focused solutions that improve patient engagement, care coordination, and operational efficiency.
  • Develop APIs, backend services, automation pipelines, and AI workflows that support intelligent product capabilities and production-ready deployments.
  • Apply software engineering, DevOps, and MLOps best practices to testing, deployment, monitoring, and optimization of AI solutions.
  • Research emerging AI technologies, LLM implementation patterns, and modern product engineering frameworks to continuously improve platform capabilities.
  • Navigate ambiguity, solve complex technical challenges, and collaborate effectively across technical and non-technical teams in a fast-paced Agile environment.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements:

  • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical discipline.
  • 2+ years of professional experience in software engineering, product engineering, or full-stack application development.
  • Hands-on experience delivering at least 2-3 production-level AI projects using tools such as Cursor, Claude, Codex, OpenAI, Anthropic, or similar AI development platforms.
  • Strong programming skills with proficiency in Python, TypeScript, JavaScript, or related modern development languages, along with experience building and deploying production-grade full-stack applications.
  • Experience integrating large language models (LLMs), prompt engineering, AI agents, generative AI workflows, or retrieval augmented generation (RAG) architectures.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, along with containerization and deployment technologies such as Docker and Kubernetes.
  • Strong communication, collaboration, analytical, and problem-solving skills with the ability to work independently in a remote Agile environment.

Additional Qualifications:

  • Experience with AI-assisted software development workflows, vector databases, embeddings, semantic search, orchestration frameworks, or AI workflow automation.
  • Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Hugging Face, or scikit-learn.
  • Exposure to CI/CD pipelines, DevOps practices, infrastructure automation, or secure healthcare technology environments.
  • Experience supporting healthcare, payer/provider, federal government, or Department of Veterans Affairs (VA) technology initiatives is preferred.
  • Ability to obtain a government clearance is a plus.

Benefits:

  • Medical/Dental/Vision.
  • 401k with Employer Match.
  • PTO + Federal Holidays.
  • Corporate Laptop.
  • Training opportunities.
  • Remote Opportunity.

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.

VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

Sorry, we are unable to offer sponsorship at this time

Employment Type: FULL_TIME