ZipRecruiter

Log In

2

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

Quora

AI Automation Engineer -Remote

Pomona, CA · On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Support advanced AI use cases, including LLM-based solutions, retrieval-augmented generation (RAG ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82.57K - $127.49K/yr

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Support advanced AI use cases, including LLM-based solutions, retrieval-augmented generation (RAG ...

Invoca

Senior ML Engineer

Anaheim, CA · On-site +1

$109.40K - $150.20K/yr

Design and Optimize SLM/LLM Deployment: Own the full inference infrastructure: model serving on ... Advanced Python and deep learning proficiency (PyTorch, HuggingFace Transformers, spaCy)

People also search for

All JobsPython Llm JobsRemote Python Llm JobsRemote Python Llm Jobs in Riverside, CA

Remote Python Llm information

See Riverside, CA salary details

$13

$61

$90

How much do remote python llm jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote python llm in Riverside, CA is $61.16, according to ZipRecruiter salary data. Most workers in this role earn between $50.38 and $69.47 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Python LLM Engineer, and why are they important?

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 is a Remote Python LLM job?

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 popular job titles related to Remote Python Llm jobs in Riverside, CA? For Remote Python Llm jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Remote Python Llm jobs in Riverside, CA look for? The top searched job categories for Remote Python Llm jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Remote Python Llm jobs? Cities near Riverside, CA with the most Remote Python Llm job openings:
Remote Python Llm jobs near you
Software Engineer (Need Locals)

Software Engineer (Need Locals)

Cardinal Integrated Technologies Inc

Irvine, CA • On-site, Remote

Other

Posted 16 days ago

Job description

Hi,

Role: Software Engineer

Duration: 6-12+ Months Contract

Location California (2-3 days/week in the client's Irvine, CA office, 1 day in their downtown LA, CA office, 1 day Remote)

Must Have Skills

  • Skill 1 Python backend development
  • Skill 2 Agent-based / agent-oriented workflow development
  • Skill 3 API development and system integration
  • Skill 4 LLM-enabled application development (prompt & context management, structured outputs)
  • Skill 5 Retrieval-based systems (vector search, indexing, embeddings)
  • Skill 6 AWS cloud-native development
  • Skill 7 CI/CD and environment management
  • Skill 8 Observability (logging, metrics, tracing)

Domain Experience (If any)

AI-enabled enterprise workflows, agent-based systems, retrieval-augmented applications

Client Job Description: Context & Objective

We are engaging a software engineer to support the design and delivery of agent-based, AI-enabled workflows that integrate with enterprise systems. The contractor will work closely with internal teams and business stakeholders to translate use cases into robust, scalable solutions.

Backend & Agent-Oriented Engineering

  • Build and maintain Python-based backend services supporting:

o Agent orchestration (supervisor/sub-agent patterns)

o APIs and system integrations

o Multi-step, asynchronous workflows

  • Apply strong engineering practices (testing, code quality, error handling).

AI / LLM-Enabled Application Development

  • Deliver LLM-enabled features end to end, including:

o Prompt and context management

o Structured outputs and validation

Data Engineering for Retrieval-Based Systems

  • Design and operate retrieval pipelines to support grounding and context enrichment, including:

o Vector search and similarity retrieval

o Search and indexing solutions

o Object storage for source content and embeddings

o Caching for performance and scalability

Cloud-Native Delivery

  • Deploy and operate services primarily on AWS, following best practices for:

o IAM and security

o Scalability, resiliency, and availability

o CI/CD and environment management

Integration & UX Enablement

  • Integrate with enterprise tools and services via secure APIs and gateways.
  • Support React-based front-end patterns and collaboration integrations to enable effective user experiences.

Observability & Operations

  • Implement logging, metrics, and tracing across agent workflows, model calls, and integrations.
  • Support incident diagnosis, performance tuning, and ongoing optimisation.

Working with the Business

  • Engage directly with business stakeholders to:

o Translate use cases into technical designs and acceptance criteria

o Communicate trade-offs across quality, cost, risk, and delivery timelines

Apply