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

Sr AI/Agentic Engineer

Tustin, CA · On-site

$115K - $158K/yr

They are seeking a Senior AI Engineer to lead the delivery of AI features, focusing on document ... Required : • 5+ years of software engineering experience, with 3+ years building and shipping LLM ...

Senior AI Engineer

Irvine, CA · On-site

$90 - $150/hr

Experience with LLM/GenAI architectures (RAG, embeddings, prompt engineering) * Familiarity with LangGraph, AutoGen, CrewAI, or similar agent orchestration frameworks * Experience with LangChain or ...

Title: Sr. Full Stack Software Engineer Location: Pomona or Rosemead, CA (2 days a week) Duration ... Integrate AI/LLM capabilities into business workflows. * Collaborate with architects, product ...

New

Senior Software Engineer

Santa Ana, CA · On-site +1

$127K - $168K/yr

As a Senior Software Engineer, you will lead projects as part of a small, focused engineering ... Build & Deploy AI Systems (0 1): You will own the full lifecycle of LLM-powered features - from ...

Senior Software Engineer

Santa Ana, CA · On-site +1

$127K - $168K/yr

As a Senior Software Engineer, you will lead projects as part of a small, focused engineering ... What You'll Do: * Build & Deploy AI Systems (0 → 1): You will own the full lifecycle of LLM ...

Sr. Database Engineer

Irvine, CA · On-site

$112K - $152K/yr

Abode TechZone, LLC is seeking a Sr. Database Engineer to lead the design of high-performance data ... for LLM integration • Experience in a Professional Services or global consulting environment ...

Senior AI Engineer

Irvine, CA · On-site

$56 - $61/hr

Strong programming skills (Python preferred). * Experience with Databricks and Apache Spark ... Build and operationalize LLM-powered applications using Retrieval-Augmented Generation (RAG ...

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Showing results 1-20

Senior Llm Engineer information

See Riverside, CA salary details

$62.1K

$132K

$191.4K

How much do senior llm engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior llm engineer in Riverside, CA is $132,033.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $149,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a senior LLM engineer, and why are they important?

To thrive as a Senior LLM Engineer, you need deep expertise in machine learning, natural language processing, and advanced programming skills, typically supported by a degree in computer science or a related field. Familiarity with frameworks and tools such as PyTorch, TensorFlow, Hugging Face Transformers, and cloud platforms, along with experience in deploying large-scale language models, is crucial. Strong problem-solving, collaboration, and communication skills set top performers apart in leading cross-functional AI initiatives. These abilities are vital for developing, optimizing, and scaling cutting-edge language models that drive innovation and business value.

Are senior Llm engineers in demand?

Senior Llm engineers are in high demand due to the rapid growth of artificial intelligence and natural language processing industries. They are sought after for their expertise in developing and deploying large language models, often requiring skills in machine learning frameworks, programming, and data management. This demand is expected to continue as AI applications expand across various sectors.

What is a senior LLM engineer?

Senior LLM (Large Language Model) Engineers are experienced professionals who design, build, optimize, and maintain advanced language models like GPT, BERT, or similar AI systems. They work on tasks such as model training, fine-tuning, deployment, and troubleshooting, often collaborating with data scientists and software engineers. Their expertise includes deep learning frameworks, natural language processing, and software engineering best practices. Senior LLM Engineers also play a key role in ensuring the ethical and efficient use of AI models in production systems.

What are some common challenges senior LLM engineers face when deploying large language models in production environments?

Senior LLM Engineers often encounter challenges related to scaling models efficiently, managing latency, and ensuring model outputs are safe and reliable. Deploying large language models requires careful optimization to balance performance with computational costs, as well as robust monitoring to detect and mitigate issues like bias or hallucination in outputs. Collaboration with cross-functional teams, including data scientists, product managers, and DevOps, is key to addressing these challenges and ensuring successful model deployment and maintenance.

What is the difference between Senior Llm Engineer vs Machine Learning Engineer?

AspectSenior Llm EngineerMachine Learning Engineer
CredentialsAdvanced degrees in CS, NLP, or AI; experience with LLMsDegrees in CS, Data Science, or AI; strong programming skills
Work EnvironmentFocus on NLP, language models, and large-scale data processingBroader ML tasks, including data modeling, algorithms, and deployment
Industry UsagePrimarily in AI/NLP-focused companies, research labs

Senior Llm Engineers specialize in large language models and NLP-specific tasks, often requiring advanced NLP knowledge and experience with LLMs. Machine Learning Engineers have a broader scope, working on various ML models and applications across industries. While both roles require strong technical skills, Senior Llm Engineers focus more on language-specific AI, whereas Machine Learning Engineers handle diverse ML projects.

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 Senior Llm Engineer jobs in Riverside, CA? For Senior Llm Engineer jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Senior Llm Engineer jobs in Riverside, CA look for? The top searched job categories for Senior Llm Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Senior Llm Engineer jobs? Cities near Riverside, CA with the most Senior Llm Engineer job openings:

Sr. Software Engineer - Engineering Enablement

NextDeavor Inc.

Irvine, CA • Remote

$150K - $190K/yr

Contractor

Posted 17 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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