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Python Llm Jobs in California (NOW HIRING)

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 ...

PulseRise Technologies

$196.80K/yr

... built LLM-powered systems that operate beyond the playground stage. What You'll Own Agent ... Python and backend fundamentals Experience handling hallucinations, edge cases, and cost control ...

NIO

LLM Algorithmic Optimization Engineer

San Jose, CA · On-site

$143.20K - $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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What is a Python LLM job?

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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Python Llm jobs near you

Principal AI Engineer (LLM Agents & Orchestration)

Vyro

San Francisco, CA • On-site

$159.10K - $213.20K/yr

Full-time

Posted 7 days ago

Job description

Principal AI Engineer (LLM Agents & Orchestration)
Job Title: Principal AI Engineer (LLM Agents & Orchestration)
Focus: Building Autonomous "Super Agents"
Location: On-Site - Cemtech, NUST H-12, Islamabad
Team: Chatly Engineering
About ImagineArt
We're redefining how the world creates and designs.
ImagineArt is one of the fastest-growing GenAI companies in the world. We've scaled faster than most funded startups - with zero outside funding.
  • $35M+ ARR crossed this year
  • 100M+ social impressions
  • Built and shipped our own image generation model, now ranked #3 globally for photo realism

No funding. No shortcuts. Just a sharp, driven team building one of the strongest GenAI products in the world - and we're just getting started.
If you want to build something that truly matters, work with exceptionally smart people, and grow at a pace most companies never experience, ImagineArt is the place.
About the Role
We are looking for a deep expert in Large Language Models (LLMs) to lead the architectural development of our new "Super Agent" within Chatly. You will move beyond simple chat interfaces to build autonomous agents capable of complex reasoning, tool usage, and seamless integration with external workflows.
Key Responsibilities
  • Agent Architecture: Design and implement stateful agentic workflows (using frameworks like LangGraph or custom Python/TypeScript solutions) that can plan, execute, and self-correct
  • Integration Ecosystem: Build the "hands" of the agent. Develop robust integration layers that allow the LLM to interact with our internal APIs, databases, and third-party tools reliably
  • Latency & Reliability: Optimize inference pipelines for speed (streaming, token optimization) and reliability (handling hallucinations, structured output validation)
  • Memory Systems: Architect advanced RAG (Retrieval-Augmented Generation) systems to give the Super Agent persistent memory and context awareness across sessions
  • Evaluation & Observability: Establish a rigorous testing framework for non-deterministic model outputs to ensure the agent behaves as expected in production
Technical Requirements
  • Core Stack: Deep proficiency in Python (or TypeScript) and the modern AI stack (LangChain, LlamaIndex, DSPy)
  • Model Internals: Strong grasp of how to leverage specific model strengths (e.g., GPT-4o for reasoning, Haiku/Flash for speed) and experience with Function Calling/Tool Use
  • Vector Search: Hands-on experience with vector databases (Pinecone, Milvus, Weaviate) and embedding strategies
  • System Design: Experience designing event-driven architectures where agents respond to triggers, not just user prompts
Why Join ImagineArt
  • Work on innovative AI products like ImagineArt, shaping the future of creativity and user interaction
  • Be part of a passionate, fast-moving team that values innovation and data-driven decisions
  • Competitive compensation and benefits
  • A culture where learning, growth, and experimenting with new ideas are deeply encouraged
Company Culture
  • Impact: Opportunity to work on innovative AI products like ImagineArt, shaping the future of creativity and user interaction
  • Team: Be part of a passionate, fast-moving team that values innovation and data-driven decisions
  • Growth: A culture where learning, growth, and experimenting with new ideas are deeply encouraged

Apply