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Llm Engineer Remote Jobs (NOW HIRING)

Deep expertise in LLM orchestration frameworks and agent architectures. * Experience applying AI to ... Expertise in prompt engineering for specialized domains. * Strong software architecture skills ...

Deep expertise in LLM orchestration frameworks and agent architectures. * Experience applying AI to ... Expertise in prompt engineering for specialized domains. * Strong software architecture skills ...

Deep expertise in LLM orchestration frameworks and agent architectures. * Experience applying AI to ... Expertise in prompt engineering for specialized domains. * Strong software architecture skills ...

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 ...

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 ...

San Francisco or Remote About The Role The NEAR AI team is building decentralized and confidential ... We are specifically seeking an expert in high-performance LLM serving systems and inference ...

San Francisco or Remote About The Role The NEAR AI team is building decentralized and confidential ... We are specifically seeking an expert in high-performance LLM serving systems and inference ...

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. • ...

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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 Jul 17, 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 July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.
Principal Engineer (REMOTE)

Principal Engineer (REMOTE)

EnableComp

Franklin, TN • On-site, Remote

Full-time

Posted 2 days ago


EnableComp rating

8.7

Company rating: 8.7 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

40th of 451 rated business services


Job description

EnableComp provides Specialty Revenue Cycle Management solutions for healthcare organizations, leveraging over 24 years of industry-leading expertise and its unified E360 RCM™ intelligent automation platform to improve financial sustainability for hospitals, health systems, and ambulatory surgery centers (ASCs) nationwide. Powered by proprietary algorithms, iterative intelligence from 10M+ processed claims, and expert human-in-the-loop integration, EnableComp provides solutions across the revenue lifecycle for Veterans Administration, Workers' Compensation, Motor Vehicle Accidents, and Out-of-State Medicaid claims as well as denials for all payer classes. By partnering with clients to supercharge the reimbursement process, EnableComp removes the burden of payment from patients and provider organizations while enabling accelerated cash, higher and more accurate yield, clean AR management, reduced denials, and data-rich performance management. EnableComp is a multi-year recipient the Top Workplaces award and was recognized as Black Book's #1 Specialty Revenue Cycle Management Solution provider in 2024 and is among the top one percent of companies to make the Inc. 5000 list of the fastest-growing private companies in the United States for the last eleven years.
Position Summary
The Principal Engineer will be spearheading the development of a cutting-edge Agentic AI platform that leverages our healthcare RCM data lakehouse to revolutionize revenue cycle workflows through autonomous, intelligent agents.
Key Responsibilities
  • Architect and build a scalable Agentic AI framework specifically for RCM workflows.
  • Design autonomous agents capable of handling complex revenue cycle tasks (denial management, contract analysis, eligibility verification).
  • Establish orchestration patterns for agent collaboration across different RCM business functions.
  • Implement robust guardrails and validation mechanisms for AI decision-making in financial contexts.
  • Build reusable components that accelerate agent development for new RCM use cases.
  • Create specialized tools for training and fine-tuning AI models on healthcare financial data.
  • Lead distributed engineering teams across onshore and offshore location.

Requirements and Qualifications
  • Proven track record building production AI systems handling financial transactions.
  • Deep expertise in LLM orchestration frameworks and agent architectures.
  • Experience applying AI to structured financial workflows with explicit business rules.
  • History of scaling complex software platforms across multiple business lines.
  • Strong background leading distributed development teams.
  • Success implementing systems that integrate with healthcare financial platform.
  • Advanced knowledge of LLM orchestration and RAG implementations.
  • Experience with agent frameworks (AutoGPT, LangChain, etc.)
  • Expertise in prompt engineering for specialized domains.
  • Strong software architecture skills focused on scalability and modularity.
  • Ability to build systems that maintain context across multi-step workflows.
  • Understanding of healthcare data security requirements.

Special Considerations and Prerequisites
  • 7-10 years' experience full stack development and 2 years' experience developing Agentic AI.
  • Practices and adheres to EnableComp's Core Values, Vision and Mission.
  • Exceptional technical leadership driving innovation in emerging technologies
  • Ability to translate abstract AI capabilities into concrete RCM solutions
  • Experience managing mixed onshore/offshore development teams
  • Track record of delivering complex platforms that scale across business units
  • Skill in communicating technical concepts to non-technical stakeholders

EnableComp is an Equal Opportunity Employer M/F/D/V. All applicants will be considered for this position based upon experience and knowledge, without regard to race, color, religion, national origin, sexual orientation, ancestry, marital, disabled or veteran status. We are committed to creating and maintaining a workforce environment that is free from any form of discrimination or harassment.
EnableComp recruits, develops and retains the industry's top talent. As the employer of choice in the complex claims industry, EnableComp takes pride in our continuous commitment to building and maintaining a culture centered around fostering the professional growth and development of our people. We believe that investing in our employees is the key to our success, and we are dedicated to providing them with the tools, resources, and support they need to thrive and grow their career here. At EnableComp, we are committed to living up to our core values each and every day, and we believe that this commitment is what sets us apart from other companies. If you are looking for a company that values its employees and is dedicated to helping them achieve their full potential, then EnableComp is the place for you.
Don't just take our word for it! Hear what our people are saying:
"I love my job because everyone shares the same vision and is determined and dedicated. People care about you as a person and your professional growth. There is a genuine spirit of cooperation and shared goals all revolving around helping each other." - Revenue Specialist
"I enjoy working for EnableComp because of the Core Values we believe in. EnableComp stands true to these values from empowering employees to ecstatic clients. This company is family oriented and flexible, along with understanding the balance of work, life, and fun." - Supervisor, Operations
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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