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Python Llm Jobs in Oakland, CA (NOW HIRING)

Sciforium

LLM Dataset Engineer

San Francisco, CA · On-site

Develop high-throughput data processing scripts using Python, leveraging multiprocessing and ... Experience building massive LLM training sets from scratch, including raw web crawls (e.g., Common ...

Whatnot

LLM Platform Engineer

San Francisco, CA · On-site

$245K - $345K/yr

Create robust and scalable LLM evaluation frameworks to measure model performance, guide iteration ... Python * Ability to work autonomously and drive initiatives across multiple product areas and ...

Whatnot

LLM Platform Engineer

San Francisco, CA · On-site

$245K - $345K/yr

Create robust and scalable LLM evaluation frameworks to measure model performance, guide iteration ... Python * Ability to work autonomously and drive initiatives across multiple product areas and ...

Sciforium

LLM Dataset Engineer

San Francisco, CA · On-site

$155K - $210K/yr

Develop high-throughput data processing scripts using Python, leveraging multiprocessing and ... Experience building massive LLM training sets from scratch , including raw web crawls (e.g., Common ...

NIO

LLM Algorithmic Optimization Engineer

San Jose, CA · On-site

$143K - $186K/yr

Proficiency in Python and experience with AI-related training and inference tools such as PyTorch. * Proficiency in C/C++ programming, familiar with at least one commonly used LLM inference engines.

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All JobsPython Llm JobsPython Llm Jobs in Oakland, CA

Python Llm information

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$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.

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

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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.

Open Source Engineer - Python

Braintrust

San Francisco, CA • On-site

Full-time

Re-posted 24 days ago

Job description

Job Summary:
Braintrust is the AI observability platform, and they are seeking engineers to build open-source libraries for observing and optimizing AI operations in production applications. This role involves owning the full SDK lifecycle and ensuring a great developer experience while integrating with major AI providers.
Responsibilities:
• Build elegant, idiomatic, and resilient SDKs that power Braintrust’s LLM evaluation and AI observability platform.
• Ensure our libraries are easy to use, efficient to run, and a delight to work with, prioritizing developer experience and performance.
• Integrate with major AI providers, frameworks, and platforms our customers rely on, such as OpenAI, Anthropic, and Gemini.
• Build tools and automation to improve testing, profiling and simplify release workflows.
• Collaborate closely with backend, platform, and product teams to ensure a cohesive and polished developer experience.
• Be a great community ambassador: talk with our users, understand their issues, help them get their fixes merged and have deep empathy for our users.
Qualifications:
Required:
• Are customer-obsessed and passionate about solving real-world problems for developers
• Have deep expertise in Python and understand what it takes to build fast, idiomatic, and reliable libraries in that ecosystem
• Are proficient with the tooling needed to build robust SDKs, such as testing frameworks, profilers, CI/CD pipelines, and packaging systems
• Care deeply about developer experience, from clean APIs and clear docs to thoughtful error handling and backward compatibility
• Know how to wrap, patch, or extend existing frameworks and SDKs to inject observability and control without breaking developer workflows
• Have experience maintaining or contributing to production-grade open-source libraries, ideally used across multiple environments
Preferred:
• You’ve contributed to popular open source projects
• Led SDK adoption at your organization
• Familiar with tracing and observability tools like OpenTelemetry
• Worked on tools in the LLM/AI ecosystem
Company:
Braintrust is an AI-native observability startup that helps teams measure, evaluate, and improve AI models and products. Founded in 2023, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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