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Ai Backend Developer Jobs in California (NOW HIRING)

AGI Inc

AI Engineer - Backend

San Francisco, CA · On-site

Trustworthy, consumer-grade agents that redefine human-AI collaboration for millions. Software ... This is for the backend engineer who has been the on-call hero before, who has strong opinions ...

NxT Level

Staff Backend Engineer

San Francisco, CA · On-site

Staff Backend Engineer Location: 3 days in-office in San Francisco, CA Employment Type: Full-time ... DevOps, product, and cross-functional teams to ship reliable marketplace infrastructure * Use AI ...

NxT Level

Staff Backend Engineer

San Francisco, CA · On-site

Staff Backend Engineer Location: 3 days in-office in San Francisco, CA Employment Type: Full-time ... DevOps, product, and cross-functional teams to ship reliable marketplace infrastructure * Use AI ...

NxT Level

Staff Backend Engineer

San Francisco, CA

Staff Backend Engineer Location: 3 days in-office in San Francisco, CA Employment Type: Full-time ... DevOps, product, and cross-functional teams to ship reliable marketplace infrastructure * Use AI ...

ProNexus

Backend Engineer

San Francisco, CA · On-site

Its backend systems power AI agents, customer integrations, data processing, evaluation infrastructure, and production workflows. The company is hiring a Backend Engineer to build the reliable ...

AllSTEM Connections

Backend AI Engineer

San Francisco, CA · On-site

$228K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

We are seeking a highly skilled Backend Engineer to design, build, and scale AI-powered services. This role will focus on developing robust backend systems that support LLM-driven applications ...

Nace AI

Software Engineer (Backend)

Palo Alto, CA · On-site

Nace.ai is focused on developing scalable AI systems, and they are seeking a Backend Software Engineer to design, develop, and maintain the backend infrastructure. The role involves ensuring system ...

Luminary Cloud

Backend Engineer

San Mateo, CA · On-site

We do this with our Physics AI platform, the fastest and easiest way to build and deploy models to ... Proven experience as a backend developer or software engineer, with a strong focus on designing and ...

Samaya AI

Backend Engineer

Mountain View, CA · Hybrid

$180K - $275K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Role As a Backend Engineer at Samaya, you will design and lead the development of critical system components that support and enable our AI product. This year we are set up for rapid growth to tens ...

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All JobsAi Backend Developer JobsAi Backend Developer Jobs in California

Ai Backend Developer information

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 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.

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 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 is the salary of AI backend developer?

The salary of an AI backend developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Skilled developers with expertise in machine learning frameworks, programming languages like Python, and cloud platforms tend to earn higher salaries.

What are popular job titles related to Ai Backend Developer jobs in California?

For Ai Backend Developer jobs in California, the most frequently searched job titles are:

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:

Ai Backend Developer jobs near you
Infographic showing various Ai Backend Developer job openings in California as of August 2026, with employment types broken down into 67% Full Time, 28% Part Time, 2% Temporary, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution.

AI Engineer - Backend

AGI Inc

San Francisco, CA • On-site

Full-time

Re-posted 29 days ago

Job description

Think Different. Build the Future.
Our Mission
Build everyday AGI. Trustworthy, consumer-grade agents that redefine human-AI collaboration for millions. Software shouldn't wait for commands; it should partner with you, amplifying what you can do every single day.
Why AGI, Inc.
We're a stealth team of elite founders and AI researchers, with backgrounds spanning Stanford, OpenAI, and DeepMind. We're industry leaders in mobile and computer-use agents, bringing these capabilities to consumer scale.
Grounded in years of agent research, our AI is designed with trustworthiness and reliability as core pillars, not afterthoughts.
We are supported by tier-1 investors who funded the first generation of AI giants; now they're backing us to build the next: everyday AGI. (Watch the demo)
If you see possibility where others see limits, read on.
Build the systems our agents run on. Make them feel like magic, not infrastructure.
Our agents are only as trustworthy as the backend behind them. Every API call, every retry, every queued job is the difference between an agent that feels alive and one that feels like a chatbot. You'll own the systems that turn research into product - model orchestration, agent state, partner integrations, the data plane - and you'll make them fast enough, observable enough, and boring enough that the rest of the team can ship without thinking about them.
This is for the backend engineer who has been the on-call hero before, who has strong opinions about queues and idempotency, and who wants to design infrastructure for a product where the floor is "millions of devices."
Tasks you will own
  • The agent backend end-to-end - model orchestration, tool-use plumbing, agent state, retries, observability
  • The data plane behind every agent action - Postgres schema, caching, queues, event streams - at OEM scale
  • Production SLAs, on-call, and the reliability bar for everything the agent touches in the cloud
Areas where you will assist
  • Research, by shipping their work to real users in days, not quarters - and feeding back what breaks in production
  • Forward-deployed engineers, by giving them backends partners can integrate against without a six-week meeting
  • iOS and Android, by drawing the right line between on-device and cloud so neither side carries the wrong weight
Skills you'll be expected to teach
  • How to design backends for LLM-powered systems where latency, cost, and non-determinism are first-class concerns
  • How to run a production system you'd happily put your name on - observability, incident response, capacity planning
Skills you'll be expected to learn
  • The internals of agentic systems from the people who published the canonical papers on them
  • What it takes to run agent infrastructure at OEM scale, across Samsung, OPPO, Lenovo, and Vertu devices
  • On-device / cloud co-design - when to push compute to the phone and when to keep it on our side
Timeline of success
After 30 days - You've shipped a meaningful change to the agent backend that a user would feel - latency, reliability, or a new capability. You can name the three weakest links in our infra and have started fixing one. You've taken a real on-call shift.
After 60 days - You own a major surface of the backend. A research breakthrough has shipped through systems you designed. Other engineers route their hardest backend questions to you. You've set the reliability and observability bar that new services have to meet.
After 90 days - Our agent backend is something you'd happily defend to an infra engineer at a top-tier consumer company. You've shaped the architecture for one of our partner launches and have a strong, opinionated plan for what our infra needs to look like to support 10M devices.
Compensation
Competitive cash and meaningful equity. Top-tier relocation and immigration support. SF, in person.
How to apply
Send a link to a backend system you've built or operated, with one paragraph on a production decision you'd defend on a whiteboard. Plus your resume, GitHub, or LinkedIn. Every exceptional candidate hears back within 48 hours.

Apply