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Llm Engineer Remote Jobs (NOW HIRING)

About Unframe Unframe is an AI-first startup helping the world's largest enterprises bring LLM ... About the role We're looking for a Support Engineer to join our team and support large global ...

About Unframe Unframe is an AI-first startup helping the world's largest enterprises bring LLM ... About the role We're looking for a Support Engineer to join our team and support large global ...

About Unframe Unframe is an AI-first startup helping the world's largest enterprises bring LLM ... About the role We're looking for a Support Engineer to join our team and support large global ...

They are seeking a Solutions Engineer to lead technical pre-sales, manage proof-of-concept trials ... Preferred : • Hands-on experience configuring, prompting, or selling LLM / AI agent products. • ...

They are seeking a Solutions Engineer to lead technical pre-sales, manage proof-of-concept trials ... Preferred : • Hands-on experience configuring, prompting, or selling LLM / AI agent products. • ...

Demonstrable hands-on experience in LLM engineering (fine-tuning, prompt engineering, deployment ... Contributions to open-source projects related to data or AI/ML. #LI-RC1 #LI-Remote Benefits of ...

They are seeking a Solutions Engineer to lead technical pre-sales, manage proof-of-concept trials ... Preferred : • Hands-on experience configuring, prompting, or selling LLM / AI agent products. • ...

They are seeking a Solutions Engineer to lead technical pre-sales, manage proof-of-concept trials ... Preferred : • Hands-on experience configuring, prompting, or selling LLM / AI agent products. • ...

They are seeking a Solutions Engineer to lead technical pre-sales, manage proof-of-concept trials ... Preferred : • Hands-on experience configuring, prompting, or selling LLM / AI agent products. • ...

They are seeking a Solutions Engineer to lead technical pre-sales, manage proof-of-concept trials ... Preferred : • Hands-on experience configuring, prompting, or selling LLM / AI agent products. • ...

They are seeking a Solutions Engineer to lead technical pre-sales, manage proof-of-concept trials ... Preferred : • Hands-on experience configuring, prompting, or selling LLM / AI agent products. • ...

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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.
Software Product Engineer (Remote Opportunity)

Software Product Engineer (Remote Opportunity)

VetsEZ

Tampa, FL • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Job description

We are currently looking for a Software Product Engineer for a 100% remote position on a large federal government project. This role focuses on designing, developing, and deploying AI-enabled applications that improve healthcare workflows, automate complex processes, and support data-driven decision-making.

The engineer will work within a collaborative development environment to build scalable cloud-native systems and integrate modern AI capabilities into healthcare technology platforms. The ideal candidate is a hands-on engineer with experience building AI-driven services, integrating large language models, and developing secure, scalable applications that support mission-critical systems.

The candidate must reside within the continental US.

Responsibilities

  • Design and develop AI-enabled services and applications using Python and modern cloud-native architectures.
  • Integrate Large Language Models (LLMs) and AI APIs into production systems to support intelligent automation and decision-making.
  • Build scalable microservices and REST APIs that support AI-driven workflows and data processing.
  • Develop data pipelines and services that process structured and unstructured data for intelligent applications.
  • Implement secure APIs and event-driven architectures that support system integration and AI-enabled services.
  • Optimize AI-powered applications for performance, reliability, scalability, and maintainability in cloud environments.
  • Collaborate with engineers, product teams, and stakeholders to translate business and AI requirements into deployable solutions.
  • 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, or a related technical discipline.
  • Minimum of 5 years of hands-on experience developing or deploying AI-enabled applications.
  • Experience developing cloud-native applications using AWS, Microsoft Azure, or Google Cloud Platform.
  • Experience building REST APIs, microservices, and distributed systems that support scalable AI workflows.
  • Experience working with modern software development practices, including Git, CI/CD pipelines, containerization, and DevOps methodologies.
  • Strong programming skills in Python for developing AI-enabled applications, APIs, and microservices.
  • Experience with JavaScript and/or TypeScript to support AI integrations within user-facing applications.
  • Hands-on experience integrating Large Language Models (LLMs) and AI services such as OpenAI, Amazon Bedrock, Anthropic Claude, or similar technologies.
  • Experience developing scalable, secure, and reliable cloud-based applications.
  • Familiarity with containerization technologies and cloud-native application development.
  • Demonstrated experience using AI-assisted development tools such as Cursor, GitHub Copilot, OpenAI Codex, or Claude Code.
  • Strong analytical and problem-solving abilities.
  • Excellent verbal and written communication skills.
  • Ability to collaborate effectively within cross-functional engineering teams.
  • Strong attention to detail and commitment to delivering high-quality software solutions.
  • Ability to manage multiple priorities in a fast-paced development environment.

Additional Qualifications

  • Experience deploying AI solutions within regulated environments such as healthcare or federal government systems.
  • Familiarity with healthcare interoperability standards including FHIR and HL7.
  • Experience with LLM orchestration frameworks, agent-based architectures, or intelligent automation platforms.
  • Experience with Docker, Kubernetes, or other container orchestration technologies.
  • Experience supporting Department of Veterans Affairs (VA) projects.
  • Ability to obtain and maintain a U.S. government clearance.

Benefits

  • Medical, Dental, and Vision Insurance.
  • 401(k) with Employer Match.
  • Paid Time Off (PTO) and Federal Holidays.
  • Corporate Laptop.
  • Professional Development and Training Opportunities.
  • 100% Remote Opportunity.

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