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Ai Backend Developer Jobs in Riverside, CA (NOW HIRING)

Senior AI Engineer

Irvine, CA · On-site

$129K - $171K/yr

The role involves developing AI and machine learning solutions, building backend services, and ... Backend: APIs, microservices (e.g., Spring Boot, Node.js) • DevOps: Docker, Kubernetes, CI/CD ...

Required Qualifications: * 8+ years of experience building backend systems, distributed systems, or data infrastructure, with at least 2+ years focused on AI/ML engineering in production environments.

Staff AI Engineer

Irvine, CA · On-site

$200K - $230K/yr

Required Qualifications: * 8+ years of experience building backend systems, distributed systems, or data infrastructure, with at least 2+ years focused on AI/ML engineering in production environments.

AI Architect

Irvine, CA · On-site

$67.50 - $89/hr

CI/CD & DevOps Practices * Observability (Logging, Monitoring, Tracing) * At least 8+ years of experience in AI/ML, Data Science, or Software Engineering * Strong Python backend development ...

At least 8+ years of experience in AI/ML, Data Science, or Software Engineering Strong Python backend development experience Hands-on experience with LLM-enabled applications and Generative AI ...

AI Architect

Irvine, CA · Hybrid

$75 - $80/hr

At least 8+ years of experience in AI/ML, Data Science, or Software Engineering * Strong Python backend development experience * Hands-on experience with LLM-enabled applications and Generative AI

AI Architect

Irvine, CA · On-site

$80/hr

At least 8+ years of experience in AI/ML, Data Science, or Software Engineering * Strong Python backend development experience * Hands-on experience with LLM-enabled applications and Generative AI

Software Engineer - Full Stack

Irvine, CA · On-site

$120K - $140K/yr

We're seeking a "Software Engineer - Full Stack" to build robust, tested, and scalable systems ... You'll work across backend services, frontend interfaces, and AI agent tooling , contributing to ...

We're seeking a "Software Engineer - Full Stack" to build robust, tested, and scalable systems ... You'll work across backend services, frontend interfaces, and AI agent tooling , contributing to ...

AI/ML Architect

Irvine, CA · On-site

$68.50 - $88/hr

At least 8+ years of experience in AI/ML, Data Science, or Software Engineering * Strong Python backend development experience * Hands-on experience with LLM-enabled applications and Generative AI

At least 8+ years of experience in AI/ML, Data Science, or Software Engineering. * Strong Python backend development experience. * Hands-on experience with LLM-enabled applications and Generative AI.

At least 8+ years of experience in AI\/ML, Data Science, or Software Engineering \n * Strong Python backend development experience \n * Hands\-on experience with LLM\-enabled applications and ...

Mid Level Software Engineer

Irvine, CA · On-site

$100K - $115K/yr

... in backend engineering using C#/.NET and APIs * Familiarity with modern frontend technologies * Experience with Docker, CI/CD pipelines, and cloud platforms (Azure, AWS) * Experience with AI ...

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Ai Backend Developer information

See Riverside, CA salary details

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How much do ai backend developer jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for ai backend developer in Riverside, CA is $60.23, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $71.20 per hour, depending on experience, location, and employer.

How does the role of an AI Backend Developer typically interact with data scientists and frontend teams?

As an AI Backend Developer, you will frequently collaborate with data scientists to integrate machine learning models into scalable backend systems. This involves translating prototypes into production-ready APIs, ensuring data pipelines are robust, and optimizing inference performance. You’ll also work closely with frontend teams to define API contracts and ensure that data flows smoothly between the user interface and backend processes. Effective communication and teamwork are essential, as these collaborations help deliver seamless AI-powered features to end users.

Can AI do backend coding?

AI can assist with backend coding by generating code snippets, automating repetitive tasks, and optimizing certain processes. However, human developers are still essential for designing system architecture, debugging, and ensuring code quality. AI tools are best used as support within a developer’s workflow, often integrated with programming environments and version control systems.

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

To thrive as an AI Backend Developer, you need strong programming skills (especially in Python or Java), a solid grasp of machine learning concepts, and experience with backend frameworks, supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or Azure), containerization tools (such as Docker), and frameworks like TensorFlow or PyTorch is typically required, along with knowledge of RESTful APIs and databases. Problem-solving abilities, teamwork, and clear communication are essential soft skills that help navigate complex projects and collaborate with cross-functional teams. These technical and interpersonal skills ensure robust, scalable AI solutions are developed and maintained efficiently in a rapidly evolving field.

What is the difference between Ai Backend Developer vs Data Engineer?

AspectAi Backend DeveloperData Engineer
Required CredentialsBachelor's in CS, AI, or related fields; knowledge of AI frameworksBachelor's in CS, Data Science, or related fields; expertise in data pipelines
Work EnvironmentDeveloping AI models, integrating AI into backend systemsBuilding and maintaining data infrastructure and pipelines
Employer & Industry UsageTech companies, AI startups, enterprises integrating AIData-driven companies, finance, healthcare, tech firms

While both roles require strong programming skills and familiarity with data processing, Ai Backend Developers focus on integrating AI models into backend systems, whereas Data Engineers specialize in building data pipelines and infrastructure. Both roles are essential in AI-driven projects but serve different functions within the data ecosystem.

Which 3 jobs will survive AI?

AI backend developers will continue to be essential for designing, implementing, and maintaining AI systems, as human oversight and expertise are needed for complex problem-solving and ethical considerations. Other roles likely to persist include data scientists, who interpret and validate AI outputs, and cybersecurity specialists, who protect AI infrastructure from threats. These jobs require specialized skills, critical thinking, and adaptability that AI is less capable of replacing fully.

What engineers make 500,000?

Senior AI backend engineers with extensive experience, specialized skills in machine learning, deep learning, and cloud infrastructure can earn salaries of $500,000 or more, especially in high-cost markets or at large tech companies. Achieving this level often requires advanced degrees, certifications, and a strong track record of impactful projects.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI engineers or machine learning executives, often in large tech companies or specialized firms. These positions usually require advanced skills in AI, deep learning, and data science, along with significant experience and sometimes leadership responsibilities.

What are AI Backend Developers?

AI Backend Developers are software engineers who specialize in building and maintaining the server-side infrastructure that powers artificial intelligence applications. They design APIs, manage databases, and implement algorithms that support machine learning models and AI-driven features. Their work ensures that AI systems are scalable, efficient, and securely integrated with other services. AI Backend Developers often work closely with data scientists and frontend developers to deliver end-to-end AI solutions.
What are popular job titles related to Ai Backend Developer jobs in Riverside, CA? For Ai Backend Developer jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Ai Backend Developer jobs in Riverside, CA look for? The top searched job categories for Ai Backend Developer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Ai Backend Developer jobs? Cities near Riverside, CA with the most Ai Backend Developer job openings:
Infographic showing various Ai Backend Developer job openings in Riverside, CA as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $125,282 per year, or $60.2 per hour.
Senior AI Engineer

$129K - $171K/yr

Full-time

Posted 19 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

157th of 206 rated it services


Job description

Job Summary:
Tata Consultancy Services is a leading global IT services and consulting company, and they are seeking a Senior AI Engineer to join their team. The role involves developing AI and machine learning solutions, building backend services, and working with various cloud technologies to enhance data workflows.
Responsibilities:
• Must have Technical skills:
• 5+ years of experience in software engineering, data engineering, or AI/ML engineering
• Strong proficiency in Python for AI/data workflows and automation
• Hands-on experience building solutions in AWS cloud environments
• Experience with:
• Databricks (or similar) and Apache Spark for distributed data processing
• OpenSearch / Elasticsearch (including vector search)
• Graph databases (Neptune or similar)
• DynamoDB and Redis/ElastiCache
• Experience building backend services and APIs (e.g., Java/Spring Boot, Node.js)
• Production experience with Docker and Kubernetes
• Experience with CI/CD pipelines and deployment automation
• Strong understanding of distributed systems, data architecture, and scalable design
• Preferred Qualifications
• Experience with LLM/GenAI architectures (RAG, embeddings, prompt engineering)
• Familiarity with LangGraph, AutoGen, CrewAI, or similar agent orchestration frameworks
• Experience with LangChain or LlamaIndex
• Experience implementing LLM evaluation and observability frameworks
• Familiarity with AI security practices and threat models (prompt injection, guardrails)
• Experience working in regulated environments with strong data governance and compliance requirements
• Tech Stack
• AWS: Neptune, OpenSearch, DynamoDB, ElastiCache (Redis), IAM, CloudWatch
• Data: Databricks, Apache Spark
• AI: LLM integrations, embeddings, vector search, RAG pipelines
• Agentic/LLM Tooling: LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI
• Backend: APIs, microservices (e.g., Spring Boot, Node.js)
• DevOps: Docker, Kubernetes, CI/CD, Infrastructure as Code
Qualifications:
Required:
• 5+ years of experience in software engineering, data engineering, or AI/ML engineering
• Strong proficiency in Python for AI/data workflows and automation
• Hands-on experience building solutions in AWS cloud environments
• Experience with Databricks (or similar) and Apache Spark for distributed data processing
• Experience with OpenSearch / Elasticsearch (including vector search)
• Experience with Graph databases (Neptune or similar)
• Experience with DynamoDB and Redis/ElastiCache
• Experience building backend services and APIs (e.g., Java/Spring Boot, Node.js)
• Production experience with Docker and Kubernetes
• Experience with CI/CD pipelines and deployment automation
• Strong understanding of distributed systems, data architecture, and scalable design
Preferred:
• Experience with LLM/GenAI architectures (RAG, embeddings, prompt engineering)
• Familiarity with LangGraph, AutoGen, CrewAI, or similar agent orchestration frameworks
• Experience with LangChain or LlamaIndex
• Experience implementing LLM evaluation and observability frameworks
• Familiarity with AI security practices and threat models (prompt injection, guardrails)
• Experience working in regulated environments with strong data governance and compliance requirements
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.

What Tata Consultancy Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US