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Python Llm Jobs in Oakland, CA (NOW HIRING)

LiteLLM AI Gateway

AI Engineer

San Francisco, CA · On-site

$200K - $250K/yr

  • Medical

  • Dental

  • Vision

Python, LLM APIs, FastAPI As the Backend LLM Engineer, you'll be responsible for ensuring LiteLLM unifies the format for calling LLM APIs in the broader OpenAI + Anthropic spec. This involves writing ...

Saige Partners

Python Software Engineer

San Jose, CA

$50 - $70/hr

Python Software Engineer (San Jose, CA) Job Overview: We are seeking a Software Engineer to help ... Integrate LLM and AI capabilities into production software applications. Work with LLM APIs ...

New

ZS Associates

Senior AI Engineer

South San Francisco, CA · On-site

$125K - $172K/yr

The ideal candidate will have strong experience working with Python, LLM solution patterns and tools (RAG, Vector DB, Agentic workflows, LoRA, etc.) cloud platforms (AWS, Databricks and Azure), and ...

New

Collabera LLC

Agentic AI/Python Engineer

Concord, CA · On-site

$70 - $80/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Agentic AI/Python Engineer Location: Concord, CA (3days in hybrid) Duration: 12+ Months Contract ... Develop LLM-powered applications using RAG, vector search, embeddings, and related technologies.

New

ZS

Senior AI Engineer

South San Francisco, CA · On-site

$125K - $138K/yr

The ideal candidate will have strong experience working with Python, LLM solution patterns and tools (RAG, Vector DB, Agentic workflows, LoRA, etc.) cloud platforms (AWS, Databricks and Azure), and ...

Hippocratic AI

LLM Inference Engineer

Menlo Park, CA · On-site

Proficiency in Python and C++ * Experience with CUDA programming and GPU optimization Nice-to-Have: * Contributions to open-source inference frameworks such as vLLM, SGLang, or TensorRT-LLM

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All JobsPython Llm JobsPython Llm Jobs in Oakland, CA

Python Llm information

See Oakland, CA salary details

$15

$67

$99

How much do python llm jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for python llm in Oakland, CA is $67.33, according to ZipRecruiter salary data. Most workers in this role earn between $55.48 and $76.49 per hour, depending on experience, location, and employer.

What is a Python LLM?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python LLM position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

What are popular job titles related to Python Llm jobs in Oakland, CA?

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What job categories do people searching Python Llm jobs in Oakland, CA look for?

The top searched job categories for Python Llm jobs in Oakland, CA are:

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Python Llm jobs near you
Infographic showing various Python Llm job openings in Oakland, CA as of August 2026, with employment types broken down into 2% Internship, 83% Full Time, 9% Part Time, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $140,036 per year, or $67.3 per hour.

LLM Application Engineer, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 5 days ago

Job description

Company Description
Job Description
LLM Application Engineer, Artificial Intelligence (AI) Required, Work From Home
As an LLM Application Engineer, you will build the intelligence layer that powers the AI experiences. You will work at the intersection of Large Language Models (LLMs), software engineering, and product designing agent workflows, improving model behavior, and turning Artificial Intelligence (AI) capabilities into reliable user experiences. You will own problems end-to-end, from understanding user needs, designing Agentic workflows, integrating models and tools, building evaluation systems and continuously improving AI behavior in production. This position is 100% Remote.
LLM Application Engineer Responsibilities:
- Build and ship LLM-powered applications and AI agent workflows.
- Design systems for reasoning, planning, memory, tool use and multi-step execution.
- Build reliable orchestration pipelines that turn probabilistic model outputs into predictable, observable, and safe actions.
- Integrate Large Language Models (LLMs) with APIs, databases, search, internal services, and external tools.
- Develop prompting, context engineering, structured outputs, tool-calling, and other techniques to improve model behavior.
- Build evaluation frameworks and datasets to measure AI quality, reliability, and regressions.
- Debug AI systems across the entire stack from model behavior and prompts to orchestration, backend services, and product UX.
- Optimize AI systems for quality, latency, and cost.
- Work closely with product and engineering teams to turn ambiguous product problems into working AI solutions.
- Establish production practices for observability, tracing, experimentation, evaluation, and continuous improvement.
LLM Application Engineer Outcomes:
- Artificial Intelligence (AI) features reach production quickly and deliver measurable user impact.
- LLM-powered workflows are reliable, scalable, observable, and maintainable.
- Artificial Intelligence (AI) quality improves through systematic evaluation, experimentation, and iteration.
- Artificial Intelligence (AI) workflows become increasingly predictable, efficient, and cost-effective.
- Complex AI capabilities are translated into simple, intuitive user experiences.
Qualifications
LLM Application Engineer Qualifications:
- Artificial Intelligence (AI) experience required.
- Strong software engineering fundamentals with experience building AI-powered applications.
- Hands-on experience with Large Language Models (LLMs), generative AI, or agent-based systems.
- Experience designing prompts, workflows, evaluations, or AI behavior.
- Ability to write clean, production-quality code.
- Comfortable working across abstraction layers from model to system to product.
- Strong problem-solving skills in ambiguous, fast-moving environments.
- Bias toward shipping, iteration, and continuous improvement.
- Tech Stack: Python, LLM APIs and model providers, including OpenAI-compatible APIs and open-weight models, Agent frameworks and orchestration systems, Vector databases and retrieval systems, Backend services, APIs, and distributed systems, and PyTorch / JAX.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, Agent Frameworks, AI, Artificial Intelligence, AI Agent Workflows, APIs, Application Engineer, Backend, Databases, Distributed Systems, JAX, LLM, Large Language Model, LLM APIs, OpenAI-Compatible APIs, Orchestration Systems, Python, PyTorch, UX, User Experience, Vector Databases, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
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