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

Rivian

Staff Software Applications Engineer

Irvine, CA

$156K - $195K/yr

We're looking for a Staff Software Engineer who is excited to build at the intersection of ... Skilled in using AI-powered coding tools (e.g., Copilot, Cursor, Claude Code). * Experience with ...

Ingram Micro

Software Engineer - AI

Irvine, CA · On-site

Cloud & DevOps * Deploy AI applications on cloud platforms. * Build CI/CD pipelines for AI and software delivery. * Monitor AI services and optimize for scalability, reliability, and observability.

Ingrammicro

Software Engineer - AI

Irvine, CA · On-site

Cloud & DevOps * Deploy AI applications on cloud platforms. * Build CI/CD pipelines for AI and software delivery. * Monitor AI services and optimize for scalability, reliability, and observability.

FieldAI

Agentic AI/ML Engineer

Irvine, CA · On-site

A portfolio of personal projects, hackathon submissions, or agentic applications you've designed ... Our teams span AI, software, robotics engineering, product, field deployment, and technical ...

Quora

AI Automation Engineer -Remote

Pomona, CA · On-site

$202K - $234K/yr

You'll lay the groundwork for how we approach internal AI applications, with a focus on utility ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Pwc

CTIO AI Engineering Manager

Irvine, CA · On-site

$73K - $244K/yr

Responsibilities - Work with cross-functional teams to incorporate AI into various applications ... engineering or related field What Sets You Apart - Master's Degree in Computer Engineering, Data ...

EnerSys

Senior Finance AI & Automation Developer

Chino, CA · On-site +1

$95K - $119K/yr

EnerSys is a global leader in stored energy solutions for industrial applications. We have over ... Job Purpose The Senior Finance AI & Automation Developer's primary responsibilities are to design ...

Boot Barn

Data Scientist

Irvine, CA · On-site

... Data and AI/ML Engineers to establish RAG pipelines, vector databases, and agentic frameworks. • Prototype and deploy generative AI applications such as content generation agents, knowledge ...

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All JobsAi Applications Engineer JobsAi Applications Engineer Jobs in Riverside, CA

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 Jul 14, 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 is a $900000 AI job?

A $900,000 AI applications engineer role typically refers to a high-level position in artificial intelligence development, often involving advanced skills in machine learning, deep learning, and data analysis. Such compensation may include base salary, bonuses, and stock options, usually found in senior or specialized roles within tech companies or startups. These positions often require extensive experience, certifications, and a strong understanding of AI tools and frameworks.

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 does an AI application engineer do?

An AI application engineer designs, develops, and implements artificial intelligence solutions to solve specific problems or improve processes. They work with machine learning models, programming languages like Python or Java, and tools such as TensorFlow or PyTorch, often collaborating with data scientists and software developers to deploy AI systems in real-world applications.

Which 3 jobs will survive AI?

AI Applications Engineers are likely to continue to find roles in developing, implementing, and maintaining AI systems, as their expertise in integrating AI solutions remains in demand. Jobs that require complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled trades, are also expected to persist despite AI advancements. These roles often involve tasks that are difficult for AI to fully replicate or automate.

What engineer makes $500,000 a year?

Highly experienced AI Applications Engineers working in senior or specialized roles at large tech companies or in consulting can earn salaries approaching or exceeding $500,000 annually, especially with bonuses and stock options. Such roles typically require advanced skills in machine learning, deep learning, and software development, along with significant industry experience and often a master's or Ph.D. degree.

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 Applications Engineer jobs near you
10850 - Sr. Software Engineer, Applied AI

10850 - Sr. Software Engineer, Applied AI

Hyundai AutoEver America

Irvine, CA • On-site

$129K - $171K/yr

Full-time

Re-posted 20 days ago

Job description

Job Summary:
Hyundai AutoEver America (HAEA) is a key IT affiliate of Hyundai Motor Corporation, providing innovative IT services to enhance mobility. They are seeking a Sr. Software Engineer - Applied AI Engineer to design and implement AI solutions for the automotive industry, focusing on full-stack AI applications and collaboration across teams.
Responsibilities:
• Design and implement applied AI solutions, including LLM applications, RAG pipelines, agentic workflows, predictive models, and generative AI tools.
• Develop full‑stack AI applications, building front‑end interfaces and integrating them with backend services and cloud architecture.
• Build production‑ready AI systems that integrate with enterprise platforms, and user-facing automotive applications.
• Own applied experimentation, prototype rapid PoCs/MVPs, refine prompts, iterate on model performance, and enhance AI reliability.
• Collaborate with cross-functional teams to translate requirements into AI capabilities and ensure solutions meet governance, privacy, and security standards.
Qualifications:
Required:
• Bachelor’s or master’s degree in computer science, engineering or a related field.
• 8+ years of software engineering experience, including 3+ years focused on AI/ML solution development.
• Proven experience delivering production-ready AI systems, including LLM-based applications, traditional ML models, RAG pipelines, and agentic/automated workflows.
• Hands-on expertise with modern agent frameworks such as AutoGen, LangGraph, LlamaIndex, CrewAI, and n8n, with strong knowledge of multi-agent orchestration patterns.
• Strong proficiency in Python and core AI/ML tooling, including TensorFlow or PyTorch, the Hugging Face ecosystem, and common AI orchestration frameworks.
• Deep experience with vector databases (Pinecone, ChromaDB, FAISS) and embedding-based retrieval techniques.
• Advanced understanding of prompt engineering, RAG architecture, model evaluation, and LLM optimization strategies.
• Practical experience with cloud AI platforms such as AWS SageMaker/Bedrock, Azure OpenAI, or Azure AI Foundry, along with ML Ops best practices (CI/CD, testing, model monitoring, observability).
• Proficiency with full-stack and cloud-native development, including React, microservice APIs, relational/NoSQL databases, Docker, and Kubernetes.
• Experience implementing the Model Context Protocol (MCP) to improve context sharing, interoperability, and coordination across multi-agent systems.
Company:
Hyundai AutoEver is an automobile sales internet company. Founded in 2005, the company is headquartered in Fountain Valley, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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