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Ai Backend Developer Jobs in California (NOW HIRING)

Yum Brands

AI Backend Engineer II

Irvine, CA

As an AI Backend Engineer II, you will build the production software systems, services, and ... Work with DevOps teams to automate deployment processes, monitor system performance, and ensure the ...

Pizza Hut

AI Backend Engineer II

Irvine, CA · On-site

As an AI Backend Engineer II, you will build the production software systems, services, and ... Work with DevOps teams to automate deployment processes, monitor system performance, and ensure the ...

SmartIPlace

REQ :: AI Back End Engineers

Redwood City, CA · On-site

$90 - $100/hr

Send Candidates who have strong AI/LLM and backend developer experience * LLM product experience: prompting, tool calling, evals, latency/cost tradeoffs. * Agent architectures: planning/execution ...

InterSources Inc

Back-End Developer

San Jose, CA · On-site

They are seeking a Back-End Developer to develop backend eCommerce web applications and collaborate ... InterSources Inc. solves operational problems where protection, performance, compliance, AI, and ...

Bayrock Labs

Backend Developer

Newark, CA · On-site

$50 - $55/hr

... technologies in AI, ML, and data analytics. Our collaborative, inclusive culture fosters ... Overview We are looking for a motivated Backend Engineer with 1-2 years of hands-on experience in ...

NMK Global Inc.

Fullstack AI(Backend)

Mountain View, CA · On-site

Senior Full Stack AI Engineer Backend Location: Mountain View, CA We are looking for a Senior Full Stack Engineer with strong backend expertise in Java/Kotlin to build enterprise-grade applications ...

New

Monaco

AI Backend Product Engineer

San Francisco, CA · On-site

$200K - $400K/yr

The Role We're looking for an AI Backend Product Engineer to help build and shape Monaco's core AI ... developer tools * Excited to learn quickly as the AI ecosystem evolves; prior professional AI/ML ...

Anything

Backend Engineer - AI

San Francisco, CA · On-site

$110 - $170/hr

... AI product engineer for the next wave of entrepreneurs. It's an AI agent that turns English into apps. Everything you need make money on the internet built in - mobile, web, design, AI, backend ...

Anything

Backend Engineer - AI

San Francisco, CA · On-site

$125K - $200K/yr

... AI product engineer for the next wave of entrepreneurs. It's an AI agent that turns English into apps. Everything you need make money on the internet built in - mobile, web, design, AI, backend ...

Bedrock Data

Engineer, Backend

San Mateo, CA · On-site

$150K - $230K/yr

Learn more at bedrockdata.ai. Backend Engineer (Mid-Senior) About the role We're seeking a mid-to-senior backend engineer to join our team and help build our cloud security platform. In this role ...

Monaco

AI Backend Product Engineer

San Francisco, CA · On-site

$140 - $180/hr

The Role We're looking for an AI Backend Product Engineer to help build and shape Monaco's core AI ... developer tools * Excited to learn quickly as the AI ecosystem evolves; prior professional AI/ML ...

Nexxa.AI

Backend AI Engineer

San Francisco, CA · On-site

$140 - $230/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 ...

Dodo

Senior Backend Developer (NodeJS)

San Francisco, CA · On-site

$142K - $184K/yr

Dodo is a company focused on transforming specialty clinics through advanced voice AI and multi-agent systems. They are seeking a Senior Backend Developer to architect and build scalable backend ...

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All JobsAi Backend Developer JobsAi Backend Developer Jobs in California

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 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 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

AI Backend Engineer, Work From Home

Parallel Partners

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 4 days ago

Job description

Company Description
Job Description
AI Backend Engineer, Work From Home
We are looking for talented AI Backend Engineers to build systems that power AI-driven decisioning, automation, and orchestration across our platform. This role sits at the core of our AI stack, between models, backend systems, and real users, where latency, correctness, reliability, and cost directly impact production experience. This is a fully remote position where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI systems. We have multiple openings for this position. This position is 100% Remote.
AI Backend Engineer Responsibilities:
- Build and operate backend systems that serve AI-powered insurance workflows in production.
- Design and implement AI orchestration layers that connect models, APIs, workflows, and business logic.
- Build inference pipelines for LLM-based and AI-assisted automation systems.
- Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing).
- Design stable service boundaries between backend systems, ML components, and product APIs.
- Implement observability: logging, metrics, tracing, alerting, and incident response workflows.
- Debug production issues across distributed AI systems and resolve root causes.
- Collaborate closely with frontend, product, operations, and ML teams to ship end-to-end features.
- Continuously improve system reliability, scalability, and performance.
AI Backend Engineer Outcomes:
- AI backend systems run reliably at scale with low latency and high availability.
- AI workflows are stable, observable, and production-ready across multiple products.
- System performance improves continuously through real-world feedback and optimization.
- Production incidents are quickly detected, diagnosed, and resolved.
- AI capabilities are seamlessly integrated into global customer and internal workflows.
Qualifications
AI Backend Engineer Qualifications:
- Strong backend engineering experience in production systems.
- Experience building or operating high-throughput, low-latency services.
- Familiarity with AI Systems (LLMs, Embeddings, or AI Workflows).
- Experience with distributed systems and production debugging.
- Strong understanding of APIs, data flows, and system design principles.
- Experience with observability tools (logging, monitoring, tracing).
- Strong ownership mindset and bias toward shipping.
- Comfortable working in fast-paced, globally distributed teams.
- Tech Stack: Anthropic, Artificial Intelligence (AI), Distributed Systems Tooling, Docker, Kubernetes, LLM APIs, Node.js, NoSQL, Observability Tools, OpenAI, Open-Source Models, Python, SQL.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, AI Backend Engineer, AI, Anthropic, Artificial Intelligence, Distributed Systems Tooling, Docker, Kubernetes, LLM APIs, Low Latency, Node.js, NoSQL, Observability Tools, OpenAI, Open-Source Models, Python, SQL, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
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