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Ai Applications Engineer Jobs in Riverside, CA (NOW HIRING)

AI Engineer

Irvine, CA · On-site

$75K - $102K/yr

This role sits at the intersection of AI innovation, engineering productivity, and enterprise-scale ... applications. We hire the best people in the industry and engage them in some of the most exciting ...

AI Engineer

Irvine, CA · Hybrid

$75K - $102K/yr

This role sits at the intersection of AI innovation, engineering productivity, and enterprise-scale ... applications. We hire the best people in the industry and engage them in some of the most exciting ...

Lead AI Engineer

Irvine, CA · On-site

$110K - $144K/yr

... applications that address complex challenges and support our strategic objectives. Key ... Lead a team of AI engineers and data scientists, providing technical guidance, mentorship, and ...

AI Engineer

Irvine, CA · On-site

$121K - $145K/yr

We are looking for a motivated and innovative AI Engineer with 4 yrs of full-time experience in ... Familiarity with APIs and integrating AI models into applications Preferred Qualifications

This role is not focused on building isolated AI features or one-off model applications; this is a platform engineering role. You will design and build the reusable systems, abstractions, interfaces ...

... AI Engineer to join our newly formed DOGE-X teama cutting-edge division within our Market ... applications, ensuring smooth and efficient workflows. Strategic AI Direction: Collaborate with ...

Description POSITION DESCRIPTION The AI Engineer will serve as a critical bridge between business ... applications. * Excellent communication skills with the ability to translate technical findings ...

Applied AI Engineer

Irvine, CA · On-site

$160K - $190K/yr

Description POSITION DESCRIPTION The AI Engineer will serve as a critical bridge between business ... applications. * Excellent communication skills with the ability to translate technical findings ...

Staff Applied Scientist

Irvine, CA · On-site

$180K - $220K/yr

Programming & Frameworks: Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch ... Generative AI Applications: Hands-on experience with LLMs and multimodal AI applications.

Lead Gen AI Engineer

Irvine, CA · On-site

$55 - $60/hr

Lead AI/GenAI Engineer. Location: Irvine, CA (3 days onsite/week) Duration: 6 Months Job Summary ... applications. Stay updated with the latest trends and breakthroughs in AI or GenAI and related ...

Applied AI Engineer

Irvine, CA · On-site

$121K - $145K/yr

The AI Engineer will act as a bridge between business stakeholders and technical teams, focusing on ... applications. • Excellent communication skills with the ability to translate technical findings ...

Fieldai Irvine Team FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and ... Design, build, and own full-stack web applications from development through production * Develop ...

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Showing results 1-20

Ai Applications Engineer information

See Riverside, CA salary details

$52.7K

$115.5K

$158.6K

How much do ai applications engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for ai applications engineer in Riverside, CA is $115,488.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,600.00 and $140,800.00 per year, depending on experience, location, and employer.

How does an AI Applications Engineer typically collaborate with data scientists and software developers on project teams?

As an AI Applications Engineer, you will often serve as a bridge between data scientists, who build and optimize machine learning models, and software developers, who integrate these models into production systems. Collaboration usually involves translating model requirements into scalable application features, ensuring model outputs align with user needs, and troubleshooting technical challenges that arise during deployment. Regular meetings, code reviews, and shared documentation are common practices to keep everyone aligned and ensure seamless integration. This cross-functional teamwork enhances both the technical robustness and usability of AI-powered applications.

What is the difference between Ai Applications Engineer vs Data Scientist?

AspectAi Applications EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI/ML toolsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI solutions, collaborates with engineering teamsAnalyzes data, builds models, interprets results
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, tech, research institutions

While both roles involve AI and data, Ai Applications Engineers focus on developing and deploying AI solutions in engineering contexts, whereas Data Scientists analyze data to extract insights. The roles often overlap but differ mainly in their primary focus and application environment.

What are the key skills and qualifications needed to thrive as an AI Applications Engineer, and why are they important?

To thrive as an AI Applications Engineer, you need strong programming abilities (Python, Java, or C++), a solid understanding of machine learning algorithms, and a relevant degree in computer science or engineering. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and data processing tools is typically required, along with certifications in machine learning or AI. Excellent problem-solving, collaboration, and communication skills help you translate business needs into effective AI solutions and work efficiently with cross-functional teams. These skills are critical for building scalable, reliable AI systems that deliver tangible value to organizations.

What are AI Applications Engineers?

AI Applications Engineers are professionals who design, develop, and integrate artificial intelligence (AI) solutions into software applications to solve real-world problems. They work closely with data scientists, software engineers, and business stakeholders to build and deploy machine learning models, automate processes, and enhance user experiences. Their responsibilities often include selecting appropriate AI technologies, writing code, testing models, and optimizing performance. AI Applications Engineers play a key role in translating AI research and prototypes into scalable and maintainable products used in industries like healthcare, finance, retail, and more.
What are popular job titles related to Ai Applications Engineer jobs in Riverside, CA? For Ai Applications Engineer jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Ai Applications Engineer jobs in Riverside, CA look for? The top searched job categories for Ai Applications Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Ai Applications Engineer jobs? Cities near Riverside, CA with the most Ai Applications Engineer job openings:
AI Engineer

$75K - $102K/yr

Full-time

Medical, Retirement, PTO

Posted 4 days ago


Job description

Responsibilities
MaxLinear is seeking a highly motivated Artificial Intelligence Engineer to evaluate and integrate cutting-edge AI technologies into the semiconductor engineering workflows. This role sits at the intersection of AI innovation, engineering productivity, and enterprise-scale deployment, helping shape how modern AI systems are operationalized across teams. You will play a critical role in identifying high-impact use cases, benchmarking AI platforms, and delivering scalable, secure solutions that drive measurable business value. In this role, you will focus on the following:
  • Evaluate AI platforms and large language models (LLMs), including GPT, Claude, Gemini, and SWE-class systems
  • Contribute to the design and execution of benchmarks to measure quality of results (QoR), productivity gains, and scalability
  • Identify strengths, limitations, and optimal use cases across AI tools and architectures
  • Partner with cross-functional teams to deploy solutions across multiple domains
  • Validate and implement AI-driven solutions within real-world semiconductor engineering workflows
  • Partner with engineering to translate engineering use cases into production-ready AI capabilities
  • Partner with internal teams to develop and analyze ROI and cost-performance tradeoffs across cloud and on-prem deployment models
  • Provide data-driven recommendations on AI platform selection and scaling strategies
  • Optimize resource utilization for maximum business impact
  • Design and support LLM deployments across hybrid environments (cloud and on-prem)
  • Integrate with enterprise data platforms, including data lakes and MCP gateway architectures
  • Ensure performance, reliability, and scalability of deployed AI systems
  • Implement best practices based on NIST and OWASP frameworks
  • Define AI usage guardrails, governance models, and compliance policies
  • Ensure enterprise-grade security and responsible AI adoption

Qualifications
  • Experience working with large language models (LLMs) and AI/ML systems
  • Strong analytical skills with experience in benchmarking, evaluation, or performance analysis
  • Experience with cloud platforms (AWS, Azure, GCP) and/or on-prem infrastructure
  • Ability to translate technical capabilities into business value
  • Experience integrating AI into engineering or semiconductor workflows
  • Familiarity with data platforms, pipelines, and large-scale data processing
  • Knowledge of AI security, governance, and compliance frameworks
  • Hands-on experience with model deployment, APIs, and system integration
  • BS in Electrical Engineering or related

Compensation and Benefits
MaxLinear has a Total Compensation philosophy which includes base salary and annual discretionary bonus eligibility and many positions also include stock-based compensation.
MaxLinear's good faith estimate starting base salary range is: $75,000 to $102,000 Annually
We offer competitive benefits designed to support employee health, welfare, and retirement and some highlights are: health care benefits, 401k savings plan, Employee Stock Purchase Plan (ESPP), and paid time off.
The actual starting base salary will be determined by the match to certain role-related criteria such as educational degree(s) or equivalent, relevant work experience, skillset needed for the role, and geographic location; this is not an all-inclusive list as some roles may require unique skills or experience.
Qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on race, sex, religion, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Company Overview
MaxLinear is a global, NASDAQ-traded company (MXL) where the entrepreneurial spirit is alive and well. We are a fabless system-on-chip product company, striving to improve the world's communication networks for everyone through our highly integrated radio-frequency (RF), analog, digital, and mixed-signal semiconductor solutions for access and connectivity, wired and wireless infrastructure, and industrial and multi-market applications.
We hire the best people in the industry and engage them in some of the most exciting opportunities that connect the world we live in today. Our growth has come from innovative, bold approaches to solving some of the world's most challenging communication technology problems in the most efficient and effective manner.
MaxLinear began by developing the world's first high-performance TV tuner chip using standard CMOS process technology. Others said we couldn't achieve the extremely high-performance requirements using CMOS, but we proved them wrong and achieved enduring global market leadership with our designs. Since then, we've developed a full line of products that drive 4G and 5G infrastructure; enable data center, metro and long-haul optical interconnects; bring 10Gbit to the home; power the IoT revolution; and enable robust and reliable communication in harsh industrial environments. Over the years, we've expanded through organic growth and through several acquisitions that have perfectly complemented our existing portfolio and enabled us to deliver complete end-to-end solutions in our target markets. One such example was the acquisition of Intel's Home Gateway Platform Division that added Wi-Fi, Ethernet, and Broadband Gateway Processor SoC technology to our connected home portfolio creating a complete and scalable platform of connectivity and access solutions to fully address our customers' needs.
Our headquarters are in Carlsbad, near San Diego, California. We also have major design centers in Irvine and San Jose, California; Valencia, Spain; Bangalore, India; Munich, Germany; Israel; and Singapore.
We have approximately 1,200 employees, a substantial majority of whom have engineering degrees and include masters and Ph.D. graduates from many of the premiere universities around the world. Our employees thrive on innovation, outstanding execution, outside-the-box thinking, nimbleness, and collaboration. Together, we form a high-energy business team that is focused on building the best and most innovative products on the market.