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Llm Engineer Jobs in California (NOW HIRING)

Madrona Venture Labs

Lead AI / LLM Engineer

San Mateo, CA · On-site

$180 - $230/hr

As Lead AI/LLM Engineer, this is a hands-on role, you'll build and deploy the AI systems powering our platform, set technical direction, and mentor the team. Mandatory Skills * Built and deployed ...

Ironflow AI

AI/LLM Integration Engineer

San Diego, CA

$110K - $148K/yr

As our AI/LLM engineer, you won't just write prompts -- you'll define how the system thinks. You'll architect the orchestration layer that enables streaming chat, multi-agent coordination, and ...

Hippocratic AI

LLM Inference Engineer

Menlo Park, CA · On-site

About the Role We're seeking an experienced LLM Inference Engineer to optimize our large language model (LLM) serving infrastructure. The ideal candidate has: * Extensive hands-on experience with ...

Whatnot

LLM Platform Engineer

San Francisco, CA · On-site

$245K - $345K/yr

Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable ... Create robust and scalable LLM evaluation frameworks to measure model performance, guide iteration ...

Tolan

Backend Product Engineer

San Francisco, CA · On-site

$200K - $300K/yr

Contribute to LLM engineering work that brings Tolan's AI capabilities to life. * Work cross-functionally with our frontend, design, and applied AI teams. Who We're Looking For * Relevant experience.

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Llm Engineer information

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How much do llm engineer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for llm engineer in California is $52.93, according to ZipRecruiter salary data. Most workers in this role earn between $42.69 and $61.44 per hour, depending on experience, location, and employer.

What does an LLM engineer do?

An LLM Engineer designs, develops, and optimizes applications that leverage large language models (LLMs). They fine-tune models, integrate them into products, and improve performance through prompt engineering and model customization. This role requires expertise in machine learning, natural language processing (NLP), and software development. LLM Engineers work closely with data scientists and developers to create AI-driven solutions for various applications such as chatbots, content generation, and code assistance.

What are the key skills and qualifications needed to thrive as an LLM engineer?

To thrive as an LLM Engineer, you need strong expertise in machine learning, natural language processing, and proficiency with Python, along with a solid understanding of transformer-based models and deep learning frameworks like PyTorch or TensorFlow. Familiarity with cloud platforms, version control systems (e.g., Git), and tools such as Hugging Face Transformers is typically required, and certifications in AI or data science can be advantageous. Excellent problem-solving, collaboration, and communication skills help you work effectively with interdisciplinary teams and present complex findings clearly. These skills enable you to develop, fine-tune, and deploy large language models efficiently in real-world applications.

How much do Llm engineers make?

Llm engineers typically earn between $100,000 and $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning and natural language processing can earn higher salaries, often exceeding $200,000 with bonuses and stock options.

What are the most commonly searched types of Llm Engineer jobs in California?

The most popular types of Llm Engineer jobs in California are:

What are popular job titles related to Llm Engineer jobs in California?

For Llm Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Llm Engineer jobs in California look for?

The top searched job categories for Llm Engineer jobs in California are:

What cities in California are hiring for Llm Engineer jobs?

Cities in California with the most Llm Engineer job openings:

Llm Engineer jobs near you
Infographic showing various Llm Engineer job openings in California as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $110,091 per year, or $52.9 per hour.

Lead AI / LLM Engineer

Madrona Venture Labs

San Mateo, CA • On-site

$180 - $230/hr

Other

Medical, Dental, Life

Posted 5 days ago

Job description

About Trek Health

Trek Health is a health technology startup helping provider organizations secure better reimbursement rates and stronger financial performance. Our AI-driven Price Transparency Platform unites Contract Intelligence with Pricing Intelligence to support the full payer negotiation lifecycle — from pre-negotiation opportunities to post-signature impact. We're backed by $11M in Series A funding from Madrona, Lionheart Ventures, Altman Capital, and Founder Collective.

About the Role

Full-time, hybrid, based in the San Francisco Bay Area. Candidates must be local to Bay Area. As Lead AI/LLM Engineer, this is a hands-on role, you'll build and deploy the AI systems powering our platform, set technical direction, and mentor the team.

Mandatory Skills

  • Built and deployed autonomous AI agents powered by LLMs to production environments.
  • Optimized agent performance using in-depth knowledge of LLM.

Resumes that don't clearly demonstrate the above two mandatory skills won't be considered.

Highly Desirable Skills

  • Built robust data pipelines using advanced SQL and data warehousing
  • Snowflake — SQL and stored procedures (JavaScript, Python)
  • Event-driven data pipelines — streams, tasks, queues, async orchestration
  • Performance bench marking and optimization — API and Snowflake procedure latency
  • System design and architectural decision-making
  • AWS (S3, CodeBuild, ECS) — deployment, file storage, CI/CD
  • Next.js + React 19 + TypeScript 5 — SSR, Server Components, API routes
  • React Query — server state management

Nice to Have

  • Healthcare, payer/provider data, or pricing/contracts
  • Early-stage startup experience

Benefits

  • Opportunity to work on latest and greatest tech in AI / LLM
  • Industry standard compensation, equity, health / dental / life insurance
  • Quick hiring process (1 tech screen, 1 HM / HR screen)
  • Seniority levelMid-Senior level
  • Employment typeFull-time
  • Job functionEngineering and Information Technology
  • IndustriesHospitals and Health Care
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