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

Sr. GenAI Architect

Irvine, CA · On-site

$132K - $204K/yr

Collaborate with engineers to integrate models with enterprise data pipelines for data/model ... and deploying LLM / ML models, connecting LLMs with APIs, defining RAG and multi-agent ...

Sr. Network Security Engineer

Irvine, CA · On-site

$140K - $160K/yr

We are seeking a Senior Network Security Engineer to join our Zero Trust team and serve as a hands ... Hands-on experience building or managing AI agents, LLM-based workflows, or security automation ...

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary ... LLM evaluation frameworks using defined metrics - Working with data scientists and ML engineers ...

Data Engineer IV

Irvine, CA · On-site

$118K - $170K/yr

... LLM integration and AI-powered analytics. * Partner with Product, Engineering, and Data Science ... Collaborate with senior leadership to define the long-term data strategy and roadmap aligned with ...

SDET, Remote opportunity

Irvine, CA · On-site +1

$130K - $145K/yr

Senior SDET, Automation Quality and Test Engineering Position: Senior SDET Location: Hybrid if ... Develop evaluation harnesses for AI and LLM features including golden datasets, eval suites, and ...

Showing results 41-60

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 Development Engineer - Indoors GIS AI and Reality

Esri

Redlands, CA • On-site

$123K - $162K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

Overview
Join our Indoor GIS team as a Senior Software Developer and help shape the future of how people understand, navigate, and interact with the built environment. You will lead the development of advanced Indoor GIS capabilities that combine AI, computer vision, 3D reality capture, and spatial data to automate indoor mapping workflows and create innovative geospatial products from floor plans, 3D scans, and 360° imagery.
As a senior engineer, you will own complex features end-to-end, drive technical direction, mentor developers, and work across teams to turn emerging AI technologies into production-ready solutions. If you enjoy solving challenging problems and working with technologies like Large Language Models, computer vision, 3D graphics, and geospatial systems, this role offers the opportunity to make a significant impact on the future of Indoor GIS.
Indoor GIS supports mission-critical operations for public safety agencies, helping police, fire, and emergency responders quickly understand complex buildings during emergency incidents. It also enables organizations such as airports, hospitals, campuses, and enterprises to optimize space utilization, manage occupants and visitors, and improve indoor navigation and wayfinding experiences.
Esri has a Relocation Assistance Program and can provide support with relocating to the Redlands, CA area for this position.
Responsibilities
  • Prototype, architect, and implement production-quality components for AI-assisted indoor mapping, feature extraction, indoor reality visualization, and geospatial data creation workflows
  • Lead technical exploration of Gaussian splats, 3D mesh-derived level generation, visual positioning, semantic search, and reality capture integration patterns for Indoor GIS
  • Partner with product engineers and managers, UX designers, and development teams to define feasible milestones when the boundary between research, product development, and platform integration is still uncertain
  • Design and develop robust C++, C# and Python components that handle spatial data, imagery, video frames, geometry processing, model evaluation, and quality-review workflows
  • Evaluate and integrate LLMs, multimodal models, embedding/vector search, and computer vision models where they can improve automation, validation, and user experience
  • Create technical specifications, test strategies, benchmark plans, and implementation guidance suitable for AI-assisted coding and spec-driven development workflows
  • Mentor engineers, review designs and code, and help establish engineering standards for maintainable AI/ML, computer vision, and 3D software within Indoor GIS products
  • Communicate technical findings and tradeoffs clearly to engineering leadership and stakeholders, including risks, dependencies, data requirements, performance implications, and integration options
  • Champion spec-driven and AI-assisted development practices across the team
  • Lead code reviews and uphold software quality standards
  • Communicate technical findings, tradeoffs, and progress to both engineering and product audiences

Requirements
  • 5+ years of professional software development experience, with a track record of owning and shipping complex software features
  • Proficiency in two or more of: C++, C#/.NET, Python-with depth in at least one
  • Demonstrated experience integrating or building with AI/ML technologies in production or near-production contexts
  • Strong command of software architecture, algorithms, and data structures
  • Experience with image analysis, computer vision, or 3D/graphics programming
  • Ability to work independently across ambiguous problem spaces and make sound technical judgments
  • Strong communication skills. Able to explain technical tradeoffs to both engineers and non-technical stakeholders
  • Experience mentoring or technically guiding other engineers
  • Experience in AI-driven software development, with AI generating code using Microsoft Copilot, Claude Code, or a similar LLM framework
  • Bachelor's degree in Computer Science, Software Engineering, or a related STEM field

Recommended Qualifications
  • Experience with ArcGIS, floor-aware maps, indoor positioning, CAD/BIM/Revit, LiDAR, 360 imagery, or reality capture workflows
  • Experience with Gaussian splats, mesh processing, scene layers, WebGL/DirectX/OpenGL, game engines, or 3D visualization pipelines
  • Experience building RAG systems, semantic search, vector databases, MCP/tool integrations, or agentic workflows for developer or analyst productivity
  • Experience shipping AI-assisted workflows that include user review, confidence scoring, bulk validation, human-in-the-loop correction, and repeatable QA metrics
  • Experience with OpenCV, ONNX, CUDA/GPU acceleration, model benchmarking, or productionizing research code
  • Master's degree or higher in Computer Science with specialization in Computer Vision, AI/ML, Graphics, Robotics, or a related STEM field

#LI-JJ2
#LI-ONSITE
Total Rewards
Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is
$123,136-$202,488 USD
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.
If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969