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Llm Developer Jobs in California (NOW HIRING)

Data Engineer (Starlink)

Hawthorne, CA · On-site

$145K - $175K/yr

Experience with SQL and modern data tooling; exposure to Grok, internal AI platforms, or comparable LLM developer tooling is a plus * Experience with agent evaluation, guardrails, permissions, and ...

Software Engineer, LLM Infrastructure

San Mateo, CA · On-site

$197K - $233K/yr

Basic understanding of LLM knowledge (e.g., context length, disaggregated prefill, KV cache memory estimation, etc) Preferred Qualifications: * 5+ years of experience in software engineering, with a ...

The role involves owning an ML privacy vertical, collaborating with engineering teams to apply ... Preferred : • Previous projects or research in LLM privacy. Company : The enterprise platform for ...

Showing results 41-60

Llm Developer information

See California salary details

$25

$49

$78

How much do llm developer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for llm developer in California is $49.51, according to ZipRecruiter salary data. Most workers in this role earn between $38.89 and $60.00 per hour, depending on experience, location, and employer.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

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

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What is the role of a large language model developer?

A large language model developer designs, trains, and fine-tunes AI models that understand and generate human language. They work with machine learning frameworks, manage large datasets, and optimize models for accuracy and efficiency, often requiring knowledge of programming, deep learning, and natural language processing techniques.

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

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

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

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

What cities in California are hiring for Llm Developer jobs?

Cities in California with the most Llm Developer job openings:

Infographic showing various Llm Developer job openings in California as of September 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 66% In-person, and 34% Remote job distribution, with an average salary of $102,977 per year, or $49.5 per hour.

Software Engineer, AI Agent & LLM

Mountain View, CA • On-site

Cacheflow
Software Development • 11 - 50 employees

$155K - $185K/yr

Other

Re-posted 7 days ago


Job description

The Opportunity

We are looking for a Senior AI Agent & LLM Engineer who combines strong software engineering capabilities with a deep focus on AI quality. You will help build and improve the AI systems behind Otter’s conversational knowledge engine and AI Chat, spanning user-facing agent experiences, evaluation systems, and the shared platform required to operate them reliably at scale.

This is a hands-on role for someone who can move from an ambiguous product problem to a working production solution, define how quality should be measured, and drive improvements across services, models, and user experience.

Your Impact
  • Build AI-agent experiences for Otter AI Chat that help users reason over conversations, retrieve knowledge, and complete complex tasks.
  • Advance Otter’s conversational knowledge engine through better knowledge extraction, annotation, and indexing.
  • Develop robust evaluation datasets, automated graders, regression tests, and release gates for AI quality.
  • Diagnose failures across models, prompts, retrieval, tools, data pipelines, backend services, and product workflows.
  • Build shared agent infrastructure for orchestration, tracing, debugging, retries, sandboxed execution, and observability.
  • Improve task completion, correctness, groundedness, reliability, latency, and cost.
  • Turn production traces, customer feedback, and usage signals into measurable product and model improvements.
  • Collaborate across AI, product, infrastructure, data, security, and application teams to deliver end‑to‑end capabilities.
We're looking for someone who
  • Has 3+ years of AI Agent engineering, machine learning engineering, or related experience.
  • Brings strong backend or distributed‑systems engineering skills.
  • Has hands‑on experience building and shipping AI‑agent or LLM‑powered products.
  • Has a strong focus on AI quality and experience evaluating nondeterministic systems.
  • Can use data, traces, logs, and qualitative examples to identify and resolve complex failures.
  • Works effectively across services, technical domains, and organizational boundaries.
  • Combines strong product judgment with rigorous engineering and evaluation practices.
  • Operates with high agency, strong ownership, and a bias toward action.
  • Can take ambiguous problems from initial exploration through production launch and continuous improvement.
  • Demonstrated ability to use coding agents effectively while rigorously reviewing and controlling the quality of their output is a plus.
About Otter.ai

We are in the business of shaping the future of work. Our mission is to make conversations more valuable.

With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real‑time automated meeting notes, summaries, and other insights from in‑person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla.

Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace. We provide reasonable accommodations for qualified applicants throughout the hiring process.

Accessibility & Accommodations

Otter.ai is committed to providing reasonable accommodations for candidates with disabilities in our hiring process. If you need assistance or an accommodation during any stage of the recruitment process, please contact hr@otter.ai at least 3 business days before your interview.

*Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate.

Salary range

Salary Range: $155,000 to $185,000 USD per year

Our base salary is just one component of our comprehensive total rewards package.
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