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

HCM Staffing and Consulting

Senior AI Engineer

Irvine, CA · On-site

$112K - $154K/yr

We are seeking a Senior AI Engineer to design, build, and scale a production-grade Generative AI ... The role focuses on enabling LLM-powered capabilities through vector search, graph-based knowledge ...

New

Tata Consultancy Services

Senior AI Engineer

Irvine, CA · On-site

$129K - $171K/yr

... Senior AI Engineer to join their team. The role involves developing AI and machine learning ... LLM integrations, embeddings, vector search, RAG pipelines • Agentic/LLM Tooling: LangChain ...

Tata Consultancy Services

Senior AI Engineer

Irvine, CA · On-site

$110K - $152K/yr

Tata Consultancy Services is seeking a Senior AI Engineer to leverage their expertise in AI and ... LLM/GenAI architectures (RAG, embeddings, prompt engineering) • Familiarity with LangGraph ...

CYNET SYSTEMS

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 ...

Capital Group

Senior Machine Learning Engineer

Irvine, CA · On-site

$111K - $153K/yr

... a Senior Machine Learning Engineer at Capital Group." You will join our Machine Learning ... LLM-powered workflows, and the platform that ensures they are safe, governed, and reliable in ...

Planet DDS

Senior Enterprise Agentic AI Engineer

Irvine, CA · On-site

$59.25 - $76.50/hr

We are looking for a Sr. Enterprise Agentic AI Engineer to design, build, and operate agentic AI ... Demonstrated experience productionizing AI or LLM-based systems. * Proficiency in Python/TypeScript ...

Invoca

Senior ML Engineer

Anaheim, CA

$109K - $150K/yr

Senior ML Engineer About Invoca Invoca is an AI-powered revenue execution platform that brings ... Push the Limits of SLM/LLM Deployment * Own inference infrastructure end to end: model serving on ...

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All JobsLlm Engineer JobsSenior Llm Engineer JobsSenior Llm Engineer Jobs in Riverside, CA

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 Jul 18, 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.

What are Senior LLM Engineers?

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:
Senior Llm Engineer jobs near you

Senior AI Engineer

HCM Staffing and Consulting

Irvine, CA • On-site

$112K - $154K/yr

Other

Posted 5 days ago

New

Job description

Work Location:

  • Onsite Requirement: Yes
  • 4 days onsite
  • 2 3 days/week in the client's Irvine office
  • 1 day/week in the client's downtown Los Angeles office
  • 1 day remote

Job Summary:

We are seeking a Senior AI Engineer to design, build, and scale a production-grade Generative AI and Data Platform on AWS. The role focuses on enabling LLM-powered capabilities through vector search, graph-based knowledge systems, and governed data pipelines.

The ideal candidate will own end-to-end delivery across the AI lifecycle, including:

  • Data ingestion and knowledge curation
  • Embeddings and retrieval systems
  • Backend services and APIs
  • CI/CD pipelines and deployment

This role will partner with product and engineering teams to operationalize AI capabilities in externally facing applications and drive the evolution toward agentic AI systems.

We are looking for a highly independent senior practitioner who has successfully designed, delivered, and operationalized AI solutions in production environments and can accelerate AI transformation initiatives.

Key Responsibilities:

GenAI & Agentic AI:

  • Design and deliver production-grade AI and agentic solutions.
  • Build LLM-powered applications using RAG, embeddings, prompt orchestration, and evaluation frameworks.
  • Design vector search solutions using Amazon OpenSearch.
  • Develop graph-based knowledge systems using Amazon Neptune.
  • Build agentic workflows using LangGraph, AutoGen, CrewAI, or equivalent.
  • Integrate LangChain or LlamaIndex for retrieval orchestration, tool calling, and context management.
  • Define standards for tool integration and context-sharing (MCP-style designs).
  • Evaluate LLM models and retrieval strategies for latency, accuracy, cost, and context limitations.

Data Engineering:

  • Design and build scalable data pipelines using Databricks and Apache Spark.
  • Develop data ingestion, transformation, document processing, embedding generation, and indexing pipelines.
  • Ensure data quality through validation, monitoring, consistency, and completeness.
  • Implement data governance, access controls, retention policies, auditability, and lineage tracking.

Backend Development:

  • Develop secure and scalable backend services and APIs.
  • Define API standards, versioning, reliability, retry logic, circuit breakers, and idempotency.
  • Build reusable platform services.

Deployment & MLOps:

  • Build and manage CI/CD pipelines.
  • Deploy using Docker and Kubernetes.
  • Implement blue/green deployments, canary releases, rollback strategies, and feature flags.
  • Monitor platform performance, reliability, observability, security, and cost optimization.

AI Quality & Governance:

  • Define and monitor GenAI quality metrics, including grounding, retrieval relevance, response consistency, latency, and cost.
  • Implement prompt/version tracking and evaluation pipelines.
  • Ensure AI security, access control, responsible AI guardrails, data privacy, and compliance.

Required Skills:

Must Have Skills:

  • Generative AI / LLM (RAG, embeddings, prompt engineering)
  • AWS Cloud (OpenSearch, Neptune, DynamoDB, ElastiCache/Redis)
  • Vector Search & Retrieval Systems (OpenSearch / Vector DB)
  • Graph Databases (Amazon Neptune, Knowledge Graphs)
  • LLM Frameworks (LangChain / LlamaIndex)
  • Agentic AI Frameworks (LangGraph / AutoGen / CrewAI)
  • Databricks & Apache Spark (data pipelines, embedding pipelines)
  • Backend/API Development (Python, scalable APIs, microservices)

Additional Required Skills:

  • Strong experience building production-grade Generative AI solutions.
  • Strong Python programming skills.
  • Experience with distributed systems, API design, and scalable backend development.
  • Experience operationalizing AI platforms and end-to-end AI/ML lifecycle delivery.

Preferred Skills:

  • Model evaluation frameworks and LLM observability tools.
  • AI governance and compliance frameworks.
  • Kubernetes and advanced MLOps practices.
  • Model Context Protocol (MCP) patterns.
  • Agent-based architectures.
  • Experience with content, marketing, publishing, knowledge management, or document-centric workflows.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Domain Experience:

  • AI/ML Platform Engineering
  • Generative AI / LLM Applications
  • Data Platform / Big Data Engineering

Preferred Certifications:

  • AWS Certified Solutions Architect
  • AWS Certified Machine Learning Specialty
  • AWS Data Engineer Certification

Soft Skills:

  • Strong problem-solving and analytical thinking.
  • Excellent communication and stakeholder management.
  • Ability to work in ambiguous environments with minimal oversight.
  • Strong ownership, execution, and cross-functional collaboration.
  • Ability to translate business problems into AI-enabled solutions and measurable outcomes.
  • Experience leading initiatives and influencing stakeholders.

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