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Ai In Jobs in Riverside, CA (NOW HIRING)

FieldAI

Agentic AI/ML Engineer, Multimodal

Irvine, CA · On-site

Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of ...

Emergence AI

Staff AI Engineer

Irvine, CA · On-site

$200K - $230K/yr

We work with customers in semiconductors, life sciences, and other data-intensive industries to turn fragmented, high-stakes data into trustworthy, continuously-operating AI Agents. Requirements: As ...

Emergence AI

Staff AI Engineer

Irvine, CA

$200K - $230K/yr

We work with customers in semiconductors, life sciences, and other data-intensive industries to turn fragmented, high-stakes data into trustworthy, continuously-operating AI Agents. Requirements As a ...

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All JobsAi In JobsAi In Jobs in Riverside, CA

Ai In information

See Riverside, CA salary details

$173.6K

$226.9K

$300.4K

How much do ai in jobs pay per year?

As of Jun 15, 2026, the average yearly pay for ai in in Riverside, CA is $226,869.00, according to ZipRecruiter salary data. Most workers in this role earn between $197,100.00 and $254,100.00 per year, depending on experience, location, and employer.

What is an AI Engineer?

An AI Engineer is a professional who designs, develops, and implements artificial intelligence systems and applications. They use machine learning algorithms, deep learning frameworks, and data analysis techniques to create intelligent solutions that can perform tasks such as image recognition, natural language processing, and decision-making. AI Engineers often collaborate with data scientists and software developers to build models, train AI systems, and deploy them in real-world environments. Their work is crucial in advancing automation and making technology smarter across various industries.

What is the difference between Ai In vs Data Analyst?

AspectAi InData Analyst
Required CredentialsTypically a degree in AI, computer science, or related field; certifications in AI or machine learningDegree in statistics, mathematics, or related field; certifications in data analysis or visualization
Work EnvironmentTech companies, AI research labs, startups; focus on developing AI modelsBusiness, finance, healthcare sectors; analyze data to inform decisions
Employer & Industry UsagePrimarily in tech and AI-focused industriesAcross various industries including finance, healthcare, marketing

While both roles involve working with data, Ai In focuses on developing and implementing AI models, whereas Data Analysts interpret data to support business decisions. Ai In roles require specialized knowledge in AI and machine learning, while Data Analysts focus on data visualization and statistical analysis.

What job makes $10,000 a month without a degree?

In the field of AI, roles such as AI consultant, machine learning engineer, or data scientist can potentially earn $10,000 or more per month, especially with specialized skills, experience, and certifications. These positions often require strong programming knowledge, understanding of AI tools, and sometimes a background in mathematics or statistics, but they do not always require a formal degree if demonstrated expertise is available.

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

To thrive as an AI Engineer, you need strong programming skills (especially in Python), a solid foundation in mathematics and statistics, and typically a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, experience with data modeling, and sometimes certifications in AI or data science are highly valued. Critical thinking, creativity, and effective communication help AI Engineers collaborate on complex projects and translate technical concepts for diverse audiences. These skills and qualities are crucial for developing innovative, reliable AI solutions that address real-world challenges.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages. Such salaries reflect the high demand and specialized expertise in the AI industry.

Which 3 jobs will survive AI?

AI In roles such as data analysts, AI specialists, and cybersecurity professionals are likely to persist because they require complex problem-solving, creativity, and human oversight. These jobs involve tasks that are difficult to fully automate, especially those requiring critical thinking, ethical judgment, and interpersonal skills.

How is AI being used in jobs?

AI is used in jobs to automate repetitive tasks, analyze large data sets, and improve decision-making processes. Roles such as AI specialists, data analysts, and machine learning engineers often require knowledge of programming languages like Python and familiarity with AI tools and frameworks. This technology enhances productivity and enables new capabilities across various industries.

What are some common challenges AI Engineers face when integrating artificial intelligence solutions into existing business systems?

AI Engineers often encounter challenges such as ensuring compatibility between new AI models and legacy systems, managing data quality and availability, and addressing scalability concerns. Effective communication with cross-functional teams, including data scientists, IT, and business stakeholders, is essential to understand requirements and mitigate potential roadblocks. Additionally, AI Engineers must balance innovation with ethical considerations and compliance, making it crucial to stay updated on industry standards and best practices.
What are popular job titles related to Ai In jobs in Riverside, CA? For Ai In jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Ai In jobs in Riverside, CA look for? The top searched job categories for Ai In jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Ai In jobs? Cities near Riverside, CA with the most Ai In job openings:
Ai In jobs near you
Infographic showing various Ai In job openings in Riverside, CA as of June 2026, with employment types broken down into 1% As Needed, 78% Full Time, and 21% Part Time. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $226,869 per year, or $109.1 per hour.
10850 - Sr. Software Engineer, Applied AI

10850 - Sr. Software Engineer, Applied AI

Hyundai Autoever America

Irvine, CA • On-site

Full-time

Medical, Dental, PTO

Posted 21 days ago

Job description

Company Overview 
Hyundai AutoEver America (HAEA) is the dynamic IT powerhouse behind Hyundai Motor Corporation, a Fortune 500 global leader in the automotive industry. As a key affiliate, we provide cutting-edge IT services and support to top brands including Kia, Genesis, Hyundai Translead, Hyundai Mobis, Hyundai Capital, and Glovis.
HAEA offers a truly global and collaborative environment. Here, you’ll drive innovation, boost operational efficiency, and help shape the future of mobility for the Hyundai Motor Group.
At HAEA, we understand that IT is the cornerstone of today’s fast-evolving digital world. By uniting all IT resources under one roof, we deliver consistent, top-quality solutions while serving as the crucial information link between Hyundai’s Global Headquarters and North American operations.
If you’re passionate about technology and eager to make a real impact at a world-class company, Hyundai AutoEver America is the place to grow your career. Join us and be part of the transformation that’s driving the future of automotive innovation.
Role overview:
Hyundai AutoEver America is seeking an innovative Sr. Software Engineer - Applied AI Engineer to design, build, and operationalize real‑world AI solutions that enhance automotive industry applications. This role focuses on developing LLM‑powered applications, RAG systems, intelligent agents, and full‑stack AI workflows—from prototype through production. You will translate business needs into scalable AI systems, integrate models into cloud environments, and collaborate across engineering, product, and data teams to deliver impactful, user‑centric AI capabilities.
This is a hands‑on engineering role ideal for someone passionate about applying modern AI in practical, high‑value scenarios.
 
What You Will Do:
  • 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. 

Basic Requirements:
  • 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.

Salary range: $103,170 to $158,873
In addition to a competitive salary, this position offers a fantastic benefits package that includes comprehensive medical/dental coverage, generous PTO, education assistance, and annual merit increase eligibility in a growth-focused work environment.
Team Culture:  
Our team thrives on collaboration, innovation, and continuous learning. We foster a supportive environment where every member is encouraged to share ideas and contribute to problem-solving. We value: 
  • Passion for Technology: We are enthusiastic about emerging technologies and their potential to transform the automotive industry. 
  • Agility: We work in an agile environment, adapting quickly to changes and continuously improving our processes. 
  • Teamwork: We believe in the power of teamwork and collaboration, supporting each other to achieve common goals. 
  • Growth: We prioritize personal and professional growth, offering opportunities for learning and development. 
  • Inclusivity: We maintain an inclusive culture where diverse perspectives are valued and everyone feels welcome. 
Our Company adheres to the equal employment opportunity guidelines set forth by federal, state and local laws. The information requested on this form is sought in good faith and will not be used to discriminate against the applicant based on race, religion or creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic characteristics, marital status, sex or gender (which includes pregnancy, childbirth, or related circumstances), gender identity, gender expression, age, citizenship, sexual orientation, family care or medical leave status, military and veteran status, political affiliation, or any other characteristic protected by federal, state and local laws.

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