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Python Llm Jobs in California (NOW HIRING)

Innova Solutions, Inc

Python AI Engineer

San Francisco, CA · On-site

$75 - $80/hr

Optimize Python code for performance, reliability, and efficient interaction with vector databases, LLM services, and external systems. * Conduct code reviews, debugging, root cause analysis, and ...

New

Apple

Sr Python Backend Engineer, AIML

Cupertino, CA

$184K - $324K/yr

The AI and Machine Learning team is looking for Sr Python Backend Engineer to build world-class ... Build and integrate LLM-powered workflows, AI agents, and agentic pipelines into production backend ...

AI Talent Now

AI/LLM Integration Engineer

San Diego, CA · On-site

$160 - $200/hr

Python, LangChain, or similar orchestration frameworks are essential. Candidate Requirements * 5+ ... Requirements * Built multi‑agent or agentic LLM systems in production and has worked with ...

Jobzhr

Junior Python AI Developer

Sunnyvale, CA · On-site

$100.29/hr

We're looking for a motivated Junior Python AI Developer to help build, deploy, and optimize AI ... LLM Fundamentals: Understanding of prompts, context management, tool usage, model limitations, and ...

New

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 ...

TEKsystems

Sr. Python Developer

Menlo Park, CA · Remote

$70 - $90/hr

Description ML, Eval's, LLM's, and Video / Image. As a Sr. Python Engineer, you will be contributing towards building the next generation of AI models. You will play a role in performing a ...

EchoStar

Agentic AI Engineer II

San Mateo, CA

$116K - $157K/yr

Python * LLM-powered systems or backend frameworks Visa sponsorship not available for this role #LI-CH2 Benefits We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) ...

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Showing results 41-60

All JobsPython Llm JobsPython Llm Jobs in California

Python Llm information

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 the most commonly searched types of Python Llm jobs in California?

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

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

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

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

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

What cities in California are hiring for Python Llm jobs?

Cities in California with the most Python Llm job openings:

Python Llm jobs near you
Infographic showing various Python Llm job openings in California as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 5% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution.

Staff/Senior Python Engineer

Grid Dynamics Holdings

San Ramon, CA • On-site

Full-time

Medical, Dental, Vision

Re-posted 11 days ago

Job description

We are looking for a Senior/Staff Backend Engineer to own the core services at the heart of the platform - the data-intensive computation layer that turns curated financial and operational data into correct, reproducible, fully traceable results. This is the structured engineering beneath the product: not dashboards, not an LLM wrapper, but the services that do the heavy computation and stand behind every number the platform produces.
You would be responsible for building reusable, configuration-driven computation components, enforcing strong controls and guardrails over automated output, and guaranteeing every result can be reproduced and audited. You provide technical leadership for the backend team and partner with data, AI, and product to translate domain logic into robust, reusable services.
Essential functions
  • Core Computation Services (35%)Own the services that perform the platform's core financial and operational computation
    Build a composable library of reusable computation components driven by configuration
    Produce results that are fully traceable to their source inputs
    Compute the supporting quality and confidence signals around each result
  • Computation & Correctness (20%)Express complex logic as correct, performant, set-based computation over the warehouse
    Guarantee results reconcile and are reproducible
    Own performance and cost of the core services
  • Configuration Runtime (15%)Build the runtime that executes per-domain configuration
    Add new domains and use cases through configuration - never a bespoke code path
    Keep the component library extensible
  • Controls & Auditability (15%)Enforce guardrails over automated output in code
    Build the controls / feature-flag system to scope or disable automated behavior per tenant or feature
    Build audit logging and lineage for end-to-end traceability to source
  • Multi-Cloud & Multi-Tenant (10%)Build for a multi-cloud-ready, multi-tenant-ready, customer-hosted deployment model
    Services that run inside a customer's environment with strong isolation and no egress
  • Technical Leadership (5%)Set patterns, review designs, and mentor the backend team
    Partner with data, AI, and product on service design

Qualifications
Languages & Services
  • Python
  • Production service design & testing
  • Config-driven / rules-engine architectures

Data & Compute
  • SQL (window functions, large joins)
  • Snowflake / PostgreSQL
  • Set-based, reproducible computation

Platform
  • Docker / Kubernetes / Terraform
  • Multi-tenant, customer-hosted deployment
  • Audit logging & lineage
Required Qualifications
Core
  • 8+ years backend engineering (Python / Go / Java or similar), with significant Staff+ time owning complex, data-intensive systems.
  • An passion for correctness, traceability, and testability - "every result is explainable and reproducible" as a requirement.
  • Bachelor's degree in Computer Science, Business, Engineering, or a related field.
Technical Depth
  • Elite SQL and data modeling - window functions, large-scale joins, and rigorous reasoning about correctness and performance.
  • Experience designing configuration-driven, extensible service architectures.
  • Strong system design for reliability, isolation, and reproducibility.

Would be a plus
  • Finance / accounting / analytics domain, or genuine willingness to learn how financial statements are built and reconciled.
  • dbt, Snowflake / PostgreSQL; multi-tenant, customer-hosted deployment; Docker / Kubernetes / Terraform.
  • Exposure to ML / statistical workflows and LLM application patterns - enough to integrate them well.
  • Experience building auditable systems in a regulated environment.

We offer
  • Opportunity to work on cutting-edge projects
  • Work with a highly motivated and dedicated team
  • Competitive salary
  • Flexible schedule
  • Benefits package - medical insurance, vision, dental, etc.
  • Corporate social events
  • Professional development opportunities
  • Well-equipped office

About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

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