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Ai Backend Developer Jobs in California (NOW HIRING)

Nexusflow.ai Inc.

Backend Engineer

Palo Alto, CA

About Nexusflow.ai Modern enterprise copilots & agents call for last-mile quality, enterprise-grade ... Our Backend Engineers package up our technology in models and last-mile quality tooling. Our ...

Navier AI

Backend Engineer

San Francisco, CA · On-site

AI systems that can design, simulate, and optimize complex products to achieve breakthrough levels of performance. Our mission is to enable engineers to move beyond today's slow, manual design cycles ...

Navier AI

Backend Engineer

San Francisco, CA · On-site

AI systems that can design, simulate, and optimize complex products to achieve breakthrough levels of performance. Our mission is to enable engineers to move beyond today's slow, manual design cycles ...

Luminary

Backend Engineer

San Mateo, CA · On-site

Luminary is a Series B company headquartered in San Mateo, California, focused on helping engineering companies improve their competitiveness through their Physics AI platform. The Backend Engineer ...

LiteLLM AI Gateway

Senior Backend Engineer

San Francisco, CA · On-site

$200K - $260K/yr

  • Medical

  • Dental

  • Vision

Senior Backend Engineer LiteLLM is the world's most popular AI Gateway, trusted by top companies like Adobe, Netflix, and NASA. Our platform empowers developers by providing secure, reliable access ...

Freshworks

Staff Backend AI Platform Engineer

San Mateo, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

We are seeking a Backend AI Platform Engineer to lead the development of core backend services powering our Agentic AI Platform. In this role, you will be the primary technical driver for building ...

Character.ai

Software Engineer, Backend

Redwood City, CA · On-site

$180K - $300K/yr

Familiarity with CI/CD pipelines and DevOps best practices. * Exposure to machine learning or data ... AI Character.AI empowers people to connect, learn and tell stories through interactive ...

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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?

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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.

Backend Engineer

Nexusflow.ai Inc.

Palo Alto, CA

Full-time

Re-posted 9 days ago

Job description

About Nexusflow.ai

Modern enterprise copilots & agents call for last-mile quality, enterprise-grade robustness and scalable operation costs, beyond simplified programming interfaces for generative AI. Nexusflow tackles this challenge, enabling enterprises to own their workflow copilots & agents stacked on top of powerful yet cost-effective, compact LLMs. We train large language models and build last-mile quality dev tooling for copilots & agents on your enterprise workflows. Our team has built the open-source LLM, NexusRaven-V2, rivaling GPT-4 in function calling with a 100X smaller model size. Our team members are also behind the scenes of Starling, the #1 ranked compact 7B chat model based on human evaluation in Chatbot Arena.

Position: Backend Engineer

Nexusflow is currently adding Backend Engineers to our team. Our Backend Engineers package up our technology in models and last-mile quality tooling. Our Backend Engineers will be the driving force to build our products and solutions, in extensive collaboration with our ML Engineers and Front-end Engineers.

Responsibilities

  • API system development for copilot & agent quality tooling

  • API system development for copilot serving and integration with a focus on enterprise-grade requirements in the following areas

    • Integration with on-prem & cloud compute vendors

    • Integration with software tools required in customer oriented solutions

  • Distributed system and optionally GPU performance optimization

  • Wear many hats and collaborate with the whole team for product development, deployment and customer success

Qualification Required

  • Experience in ML model or ML data pipeline deployment (on-prem or on cloud)

  • Experience in building backend for application or platform API systems

Preferred
  • Working experience in fast-pace team environment  

  • Experience in using or contributing to modern compute frameworks for LLMs (e.g. Deepspeed, Huggingface TGI, FSDP)

  • Experience in projects involving LLMs

Apply