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Ai Backend Developer Jobs in California (NOW HIRING)

Backend AI Engineer

Sunnyvale, CA · On-site

$140 - $220/hr

Role Overview We're looking for Backend AI Engineers to design, build, and own the core AI infrastructure and services that power Nexxa's products in production. Where our Forward Deployed Engineers ...

Role Overview We're looking for Backend AI Engineers to design, build, and own the core AI infrastructure and services that power Nexxa's products in production. Where our Forward Deployed Engineers ...

We\'re building the next hyperscaler for AI agents. About the role Your job will be to own and scale the backend that powers the E2B Dashboard and SDK - the APIs, data, and services developers rely ...

Back End AI Developer must be US citizen or Green Card holder Location is San Francisco NO RELO Candidates LOCALS only Job Title: Software Engineer Location: San Jose, CA The Card Payment teams are ...

We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most ... You're the backend counterpart to our dashboard engineers: they own the experience, you own the ...

Driven by a user-centered mindset, you will act as a key collaborator between AI back-end engineers, product managers, and user groups to turn complex AI reasoning into seamless human-AI interactions.

Senior Java Backend Developer

Mountain View, CA · On-site

$143K - $186K/yr

They are seeking a Senior Java Backend Developer to design, develop, and maintain robust backend ... • Utilize AI-assisted tools to enhance development speed and productivity. Qualifications

Java Back-End Developer

Mountain View, CA · On-site

$60.75 - $78.50/hr

They are seeking a Java Back-End Developer to work onsite in Mountain View, CA, focusing on core ... InterSources Inc. solves operational problems where protection, performance, compliance, AI, and ...

Showing results 21-40

Ai Backend Developer information

What is an AI backend developer?

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 skills and qualifications are needed to be an AI backend developer?

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.

How does an AI backend developer 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.

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.

What job categories do people searching Ai Backend Developer jobs in California look for?

The top searched job categories for Ai Backend Developer jobs in California are:

What cities in California are hiring for Ai Backend Developer jobs?

Cities in California with the most Ai Backend Developer job openings:

Infographic showing various Ai Backend Developer job openings in California as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

SASE Cloud Software Engineer - AI & Backend

Hewlett Packard Enterprise

San Jose, CA • Hybrid

Full-time

Re-posted 27 days ago


Hewlett Packard Enterprise rating

8.4

Company rating: 8.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

35th of 161 rated electronics manufacturers


Job description

SASE Cloud Software Engineer - AI & BackendThis role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

HPE Networking advances the way people live and work. We bring together the brightest minds to create breakthrough technology solutions, helping our customers make their mark on the world.

HPE Networking is redefining the "IT EDGE" by creating new customer experiences through intelligent spaces and digital workspaces. We are focused on campus, branch, mobility, and IoT-transforming business models with the combined power of compute, context, control, and secure connectivity.

This is a hybrid role; the selected candidate is expected to work at least 2 days per week from the HPE office in San Jose, CA.

Key Responsibilities

  • Develop and enhance features for the HPE EdgeConnect Orchestrator web application supporting SD-WAN deployments.
  • Design and build scalable backend services and APIs for orchestration, monitoring, and network management.
  • Implement and integrate AI-driven workflows ("skills") that interact with backend systems and data sources.
  • Contribute to Copilot capabilities for use cases such as troubleshooting, documentation assistance, and analytics.
  • Work with data platforms (e.g., analytics databases, telemetry systems) to enable real-time insights.
  • Write and maintain unit, integration, and white-box tests to ensure quality and reliability.
  • Participate in debugging, RCA, and performance optimization across backend and AI workflows
  • Collaborate with cross-functional teams (engineering, QA, product management) in a distributed environment.
  • Contribute to design and architecture decisions with focus on scalability, performance, and security.

Required Qualifications

  • This is a hybrid role; the selected candidate is expected to work at least 2 days per week from the HPE office in San Jose, CA.
  • 5+ years of experience in Java and/or Python-based backend software development.
  • 5+ years of experience designing and developing REST APIs and microservices-based architectures.
  • 2+ years of hands-on experience building, integrating, or deploying AI/LLM-powered applications, Copilot solutions, or intelligent automation workflows.
  • Experience with prompt engineering, Agentic AI, Retrieval-Augmented Generation (RAG), AI orchestration, and LLM evaluation techniques.
  • Strong experience with database design and development using SQL and/or NoSQL technologies.
  • Experience building scalable, cloud-native applications on AWS, Azure, or similar cloud platforms.
  • Familiarity with modern web technologies including JavaScript, React, and Node.js.
  • Strong problem-solving, troubleshooting, and debugging skills in large-scale production environments.
  • Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related technical discipline; Master's degree preferred.

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates

Job:

Engineering

Job Level:

TCP_03"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 136,500 - 276,500 in California
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual's own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.


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