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

Noor Staffing Group

SDET, Remote opportunity

Irvine, CA · On-site +1

$130K - $145K/yr

Senior SDET Location: Hybrid if local to Irvine, CA. 100% remote if you live more than 30 miles ... Develop evaluation harnesses for AI and LLM features including golden datasets, eval suites, and ...

First American

Senior Software Engineer

Santa Ana, CA · On-site +1

$127K - $168K/yr

What We Do Remote Work Welcome Be part of a transformative team that is shaping the way First ... What You'll Do: * Build & Deploy AI Systems (0 → 1): You will own the full lifecycle of LLM ...

Cotality

Principal Software Engineer (Python)

Irvine, CA · On-site +1

$144K - $194K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and ... Model Optimization (LLM & SLM): Partner with the Data Science team to architect intelligent routing ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

Working closely with product managers, engineering teams, and business stakeholders, this position ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

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Llm Engineer Remote information

See Riverside, CA salary details

$26

$55

$80

How much do llm engineer remote jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for llm engineer remote in Riverside, CA is $55.95, according to ZipRecruiter salary data. Most workers in this role earn between $45.14 and $64.95 per hour, depending on experience, location, and employer.

What is an LLM engineer?

An LLM Engineer, or Large Language Model Engineer, is a professional who designs, develops, and optimizes applications using advanced AI language models such as GPT-4 or similar technologies. Working remotely, they are responsible for integrating these models into products, fine-tuning them for specific tasks, and ensuring their performance and reliability. LLM Engineers often collaborate with data scientists, software developers, and product managers to create solutions in areas like chatbots, content generation, and natural language processing. Their work requires a strong background in machine learning, programming, and cloud computing.

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

To thrive as an LLM Engineer remotely, you need strong expertise in machine learning, natural language processing, and proficiency with programming languages such as Python, often supported by a degree in computer science or related fields. Familiarity with frameworks like PyTorch or TensorFlow, experience with cloud platforms (AWS, GCP), and knowledge of large language model architectures are commonly required. Excellent problem-solving skills, self-motivation, and effective remote communication make candidates stand out. These capabilities are crucial for developing, deploying, and maintaining advanced language models while collaborating efficiently with distributed teams.

What are some typical challenges faced by remote LLM engineers when collaborating with cross-functional teams?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers to develop and deploy large language models. One common challenge is ensuring clear and consistent communication across different time zones and technical backgrounds, which can sometimes lead to misaligned project goals or delays. To overcome this, many teams rely on detailed documentation, regular virtual meetings, and collaborative project management tools. Building strong relationships remotely and proactively sharing updates can make collaboration smoother and more productive.

What is the difference between Llm Engineer Remote vs Data Scientist Remote?

AspectLlm Engineer RemoteData Scientist Remote
Required CredentialsAdvanced degree in CS, ML, or related field; experience with NLP and deep learningDegree in CS, Statistics, or related; experience with data analysis and machine learning
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesData analysis, model development, reporting; across various industries
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, tech, e-commerce, and more

While both roles involve machine learning, Llm Engineers focus on developing large language models and NLP applications, often requiring deep expertise in AI research. Data Scientists analyze data to inform business decisions, with broader industry applications. The roles share some credentials but differ in focus and daily tasks.

What are the most commonly searched types of Llm Engineer jobs in Riverside, CA?

The most popular types of Llm Engineer jobs in Riverside, CA are:

What are popular job titles related to Llm Engineer Remote jobs in Riverside, CA?

For Llm Engineer Remote jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Llm Engineer Remote jobs in Riverside, CA look for?

The top searched job categories for Llm Engineer Remote jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Llm Engineer Remote jobs?

Cities near Riverside, CA with the most Llm Engineer Remote job openings:

Llm Engineer Remote jobs near you

Sr. Software Engineer - Engineering Enablement

NextDeavor Inc.

Irvine, CA • Remote

$150K - $190K/yr

Contractor

Re-posted 9 days ago

Job description

Sr. Software Engineer - Engineering Enablement
Full-time
Remote
Exclusive confidential search — details shared with qualified applicants.
 
Become a Key Player as a Sr. Software Engineer - Engineering Enablement

You will own and evolve critical developer platform components that accelerate R&D productivity and AI-native development across the organization. In this senior individual-contributor role you will deliver production features, partner directly with engineering teams, and measure impact through adoption and productivity metrics. Remote.

Here's How You'll Make an Impact on the Team
  • Own features and infrastructure end-to-end: design, implementation, testing, and production release with limited guidance
  • Design and maintain shared CI/CD pipeline abstractions, templates, and reusable jobs used across multiple teams
  • Build and operate AI tooling and MCP server infrastructure, including agent orchestration, scheduling, observability, cost controls, and security boundaries
  • Own sandbox environment infrastructure: container orchestration, provisioning, lifecycle management, networking, and data isolation guardrails
  • Drive adoption through documentation, onboarding programs, office hours, and direct team engagement
  • Resolve systemic reliability issues (flaky tests, slow builds, caching inefficiencies) and partner with teams during migrations
  • Instrument platform usage and productivity (DORA metrics, adoption rates, time-to-productivity) to demonstrate impact
  • Participate in design discussions, code reviews, and mentor other engineers
Here's What You'll Need to Be Successful in This Role
  • 5+ years of professional software engineering experience delivering production features and infrastructure
  • Hands-on experience building and maintaining CI/CD systems at org scale (preferably GitLab CI and/or Jenkins)
  • Experience building developer-facing tooling or platform services relied on by other engineers
  • Hands-on experience with LLM developer tooling, MCP, agent orchestration, or AI harnesses
  • Deep proficiency in Python or TypeScript with production experience
  • Proficiency with Kubernetes and Helm at production scale on AWS or Azure
  • Familiarity with infrastructure-as-code tools (Terraform, Pulumi, or equivalent)
  • Proficiency with Git, Docker, automated testing, and modern scripting; active daily use of AI-assisted development tools
  • Bachelor's degree in Computer Science, Software Engineering, or equivalent experience
Here's What Else Might Help You Out
  • Prior Engineering Enablement, Platform Engineering, or Developer Productivity role with measurable developer velocity outcomes
  • Experience building MCP servers or tool-integration layers for LLM systems
  • Experience operating infrastructure for autonomous AI agents (sandboxed execution, scheduling, observability, cost management)
  • Familiarity with DORA metrics and developer productivity instrumentation
  • Experience with JFrog Artifactory, Nexus, or equivalent artifact management systems
  • Prior experience in financial services, fintech, or regulated environments; exposure to SOC 2 or similar compliance from an engineering perspective
Pay Range

$150K - $190K/year

Ready to Make Your Mark?

This role may fill quickly. Submit your resume to be considered.

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