Llm Engineer Jobs
Llm Engineer jobs are open across AI research labs, enterprise software, fintech, and healthtech, from junior to staff and principal levels, with specializations in retrieval-augmented generation, fine-tuning, and prompt engineering. Find a role that fits from the openings below and apply directly.
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Showing 5 of 72+ Llm Engineer jobs
HUB LOCATIONS: Bloomington, IL; Dunwoody, GA; Richardson, TX; or Tempe, AZ
- Design, develop, and maintain the LARRY FastAPI backend, including REST API endpoints for conversation, ingestion, and knowledge retrieval
- Build and support LLM-powered RAG pipelines that query the kcd-repository knowledge base and surface relevant answers
- Lead backend architecture decisions and mentor junior engineers on the team
- Collaborate with business stakeholders, product owners, and architects to ensure accurate knowledge processing and retrieval
- Implement and maintain CI/CD pipelines via GitLab CI/CD for deployment to ROSA (OpenShift)
- Participate in code reviews, unit testing, and integration testing to maintain high-quality, secure code
- Integrate with Entra ID (Azure AD) for authentication and manage secure API access patterns
- Research and adopt emerging LLM and RAG patterns to improve knowledge quality and retrieval accuracy
- Strong Python or React experience, including FastAPI or similar async web frameworks
- Experience with LLM integration and RAG architecture patterns
- Experience designing, developing, and maintaining RESTful APIs
- Hands-on experience with CI/CD pipelines and containerized deployment
- Solid understanding of Git and version control workflows
- Experience with AWS or other cloud environments
- Process and transform mainframe artifacts (JCL, DB2 , COBOL) into structured, schema-compliant knowledge objects
- Experience with vector databases or embedding-based
- Experience with JSON schema design and knowledge graph or structured data patterns
- Integrate with Entra ID (Azure AD) for authentication and manage secure API access patterns
- Potential starting salary range: $85,000 - $142,000 (Starting salary will be based on skills, background, and experience. High end of the range limited to applicants with significant relevant experience.)
- Potential yearly incentive pay up to 15% of base salary
- Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
- Stay Well! Focus on you and your family’s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
- Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
- Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
- Take a Little “You” Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
- Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
- Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.
HUB LOCATIONS: Bloomington, IL; Dunwoody, GA; Richardson, TX; or Tempe, AZ
- Design, develop, and maintain the LARRY FastAPI backend, including REST API endpoints for conversation, ingestion, and knowledge retrieval
- Build and support LLM-powered RAG pipelines that query the kcd-repository knowledge base and surface relevant answers
- Lead backend architecture decisions and mentor junior engineers on the team
- Collaborate with business stakeholders, product owners, and architects to ensure accurate knowledge processing and retrieval
- Implement and maintain CI/CD pipelines via GitLab CI/CD for deployment to ROSA (OpenShift)
- Participate in code reviews, unit testing, and integration testing to maintain high-quality, secure code
- Integrate with Entra ID (Azure AD) for authentication and manage secure API access patterns
- Research and adopt emerging LLM and RAG patterns to improve knowledge quality and retrieval accuracy
- Strong Python or React experience, including FastAPI or similar async web frameworks
- Experience with LLM integration and RAG architecture patterns
- Experience designing, developing, and maintaining RESTful APIs
- Hands-on experience with CI/CD pipelines and containerized deployment
- Solid understanding of Git and version control workflows
- Experience with AWS or other cloud environments
- Process and transform mainframe artifacts (JCL, DB2 , COBOL) into structured, schema-compliant knowledge objects
- Experience with vector databases or embedding-based
- Experience with JSON schema design and knowledge graph or structured data patterns
- Integrate with Entra ID (Azure AD) for authentication and manage secure API access patterns
- Potential starting salary range: $85,000 - $142,000 (Starting salary will be based on skills, background, and experience. High end of the range limited to applicants with significant relevant experience.)
- Potential yearly incentive pay up to 15% of base salary
- Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
- Stay Well! Focus on you and your family’s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
- Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
- Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
- Take a Little “You” Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
- Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
- Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.
Llm Engineer Jobs by Experience Level
See All 72 Llm Engineer Jobs
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Find Llm Engineer JobsLlm Engineer Job Market
Who's Hiring
- TikTok17
- Capital One9
- Molex3
- NVIDIA3
- Qualcomm3
Top Industries Hiring
- Technology & Software10
- Automotive2
- Social Media2
- Telecommunications2
- Media & Entertainment2
What Employers Look For
The qualifications that appear most often in llm engineer jobs.
- Proficiency in Python and experience with PyTorch or JAX for model development and fine-tuning
- Hands-on experience with large language models such as GPT, LLaMA, Mistral, or Gemini families
- Familiarity with retrieval-augmented generation pipelines and vector databases like Pinecone or Weaviate
- Experience deploying and optimizing models for production inference using vLLM, TensorRT, or similar tools
- Strong understanding of prompt engineering, context window management, and evaluation frameworks
- Bachelor's or master's degree in computer science, machine learning, or a closely related technical field
Tips for Your Llm Engineer Job Search
Tailor your resume to model infrastructure
Recruiters scanning llm engineer resumes look for specifics: which foundation models you've worked with, whether you've handled inference optimization, and what serving frameworks you've used. Generic 'AI experience' won't stand out. Name the models, the frameworks, and the production scale.
Show evaluation results, not just experiments
Your portfolio should include benchmark results or qualitative eval outputs, not just notebooks. Teams want evidence you can assess model behavior systematically. Even a side project with a documented eval harness signals maturity that most candidates skip.
Filter openings by stack, not just title
LLM engineer job titles vary wildly. Search for 'applied scientist,' 'AI engineer,' and 'foundation model engineer' in addition to the exact title. Then filter by the stack listed in the description to find roles that match your strengths in tools like LangChain, vLLM, or Hugging Face.
Apply early to roles that fit
Migrate Mate lists llm engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare for system-design questions on inference
Interviews for llm engineer roles frequently include a system-design round focused on latency, cost, and context management, not just model selection. Practice designing a retrieval-augmented pipeline end-to-end, including chunking strategy, vector store choice, and re-ranking logic.
Negotiate around compute access, not just salary
When you reach the offer stage, GPU access, cloud credits, and research time are negotiable at many AI teams. Ask specifically what compute budget the team works with and whether engineers have discretionary access. These resources affect what you can actually build.
Llm Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most llm engineers?
The companies hiring the most llm engineers right now include TikTok, Capital One, and Molex, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of November 2026. Demand is concentrated at AI-native startups and large technology companies building internal generative AI products.
How many llm engineer jobs are remote?
About 50% of llm engineer openings are fully remote or hybrid as of November 2026, making it one of the more remote-accessible engineering disciplines. Roles focused on prompt engineering, evaluation, and RAG pipeline development tend to be the most remote-friendly, while positions involving on-premises GPU infrastructure or close cross-functional collaboration often require some on-site presence.
How do you become a llm engineer?
Start by building a strong foundation in Python and deep learning fundamentals, then work through the Hugging Face course and experiment with open-source models locally. Build at least one end-to-end project that includes fine-tuning or retrieval-augmented generation, document your evaluation process, and publish the code. Contributing to open-source LLM tooling and writing about your experiments publicly accelerates hiring significantly.
Can you get hired as a llm engineer without direct experience?
Yes, particularly at companies still building their AI teams from scratch. The most effective approach is demonstrating hands-on competence through a public portfolio: a fine-tuned model on Hugging Face, a documented RAG system on GitHub, or a technical write-up of an eval you designed. Hiring managers in this space weight demonstrated ability over credentials because the field is too new for long resumes to exist.
What does the llm engineer interview process look like?
Most processes include a recruiter screen, a technical phone interview covering Python and ML fundamentals, and a take-home or live coding round focused on a practical task like building a retrieval pipeline or evaluating model outputs. Final rounds typically include a system-design interview on inference architecture and a team-fit conversation. Some companies add a research presentation if the role involves novel modeling work.
Where can I find and apply to llm engineer jobs?
You can find and apply to llm engineer jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your experience and stack, then apply directly to each one that fits. Openings are updated regularly, so checking back frequently gives you access to newly posted roles before they fill.
See All 72 Llm Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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