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Remote Python Llm Jobs in Covina, CA (NOW HIRING)

Strong Python and/or TypeScript; API design, event-driven orchestration * Test automation depth ... Agentic/LLM frameworks (LangGraph, CrewAI, Strands) with deterministic control around probabilistic ...

Lead AI Engineer

Los Angeles, CA · Remote

$160K - $180K/yr

Location: Remote * Full time, exempt Responsibilities * Lead end to end design, delivery, and ... Strong proficiency in Python and JavaScript, RESTful APIs, cloud native integrations, and ...

Lead AI Engineer

Los Angeles, CA · Remote

$160K - $180K/yr

Location: Remote * Full time, exempt Responsibilities * Lead end to end design, delivery, and ... Strong proficiency in Python and JavaScript, RESTful APIs, cloud native integrations, and ...

Programming experience in Python, C#.NET, Go, Scala, Java, or similar object-oriented language * 1+ ... Remote and/or hybrid work will not be considered COMPENSATION AND BENEFITS: Pay range: Level I ...

Remote Python Llm information

See Covina, CA salary details

$13

$61

$90

How much do remote python llm jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for remote python llm in Covina, CA is $61.29, according to ZipRecruiter salary data. Most workers in this role earn between $50.53 and $69.62 per hour, depending on experience, location, and employer.

What is a remote Python LLM?

A Remote Python LLM job typically involves working with large language models (LLMs) like GPT or similar AI technologies using the Python programming language, while operating remotely. Professionals in this role develop, fine-tune, and deploy machine learning models, especially those focused on natural language processing (NLP) tasks. Responsibilities may include building Python applications that integrate with LLMs, data preprocessing, and collaborating with teams across different locations. The remote aspect allows for flexible work arrangements and access to global opportunities.

What are the key skills and qualifications needed to thrive as a remote Python LLM engineer?

To thrive as a Remote Python LLM Engineer, you need strong proficiency in Python programming, experience with large language models (LLMs), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems like Git is typically required. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These skills ensure you can develop, deploy, and maintain advanced language models efficiently while working independently in distributed teams.

What are some common collaboration methods used by remote Python LLM engineers when working with cross-functional teams?

Remote Python LLM engineers frequently collaborate with data scientists, product managers, and other developers through virtual meetings, code reviews, and shared documentation platforms. Tools like Slack, GitHub, and Jira are often used to ensure smooth communication and project tracking, despite working across different time zones. Regular stand-ups and sprint planning sessions help align objectives and keep everyone updated on progress. Proactive communication and clear documentation are key to overcoming the challenges of remote, distributed teamwork in this role.

What cities near Covina, CA are hiring for Remote Python Llm jobs?

Cities near Covina, CA with the most Remote Python Llm job openings:

AI QE/SDET Engineer

Capgemini

Los Angeles, CA • On-site, Remote

Full-time

Medical, Retirement, PTO

Posted 29 days ago


Capgemini North America rating

7.7

Company rating: 7.7 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

98th of 225 rated it services


Job description

About the Engagement

This role sits within a client's spec-driven SDLC platform - an agent-first system where the specification is the single source of truth and downstream artifacts are generated from it, not described by it. The platform spans Requirements authoring, Test Data Management, CodeGen, and the QE test harness on a common foundation, built on three pillars: agent-first, input-flexible, and deterministic. Deployed on ROSA with Snowflake as the data platform and Portkey as the AI gateway.

Responsibilities

  • Re-architect the harness for headless, multi-tenant execution - durable orchestration, queued and scheduled runs
  • Wire it into the E2E SDLC spine.
  • Integrate with TDM's two-lane architecture and the Repo Knowledge Plane
  • Instrument telemetry, flake detection, and stability scoring that gate promotion

Requirements

  • Experienced software engineering, recent platform/backend work
  • Demonstrated experience re-platforming an IDE-bound tool into a shared service - core to the role
  • Strong Python and/or TypeScript; API design, event-driven orchestration
  • Test automation depth - Gherkin/BDD, Playwright or Selenium, CI integration
  • Agentic/LLM frameworks (LangGraph, CrewAI, Strands) with deterministic control around probabilistic components
  • Kubernetes/OpenShift (ROSA a plus), Snowflake, AI gateway patterns
  • LLM cost-awareness - token economics as a design constraint

Nice to Have

  • TDM or synthetic data pipeline ownership
  • Brownfield sequencing experience
  • Insurance domain experience

Benefits

This position comes with competitive compensation and benefits package:

  1. Competitive salary and performance-based bonuses
  2. Comprehensive benefits package
  3. Career development and training opportunities
  4. Flexible work arrangements (remote and/or office-based)
  5. Dynamic and inclusive work culture within a globally known group
  6. Private Health Insurance
  7. Retirement Benefits
  8. Paid Time Off
  9. Training & Development
  10. *Note: Benefits differ based on employee level

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 420,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group 22.5 billion in revenues in 2025.


What Capgemini North America employees say

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