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Ai Platform Engineer Jobs in California (NOW HIRING)

Sapiom, Inc

AI Platform Engineer

San Francisco, CA · On-site

About the Role As a Staff AI Platform Engineer, you'll help define the technical direction of the platform from the ground up. You'll architect distributed systems that power AI agents in production ...

Notable

AI Platform Engineer

San Mateo, CA · On-site

Notable builds AI-driven automation for healthcare. As a Senior AI Platform Engineer, you will design, build, and maintain LLM integrations that power AI features across Notable's solutions. You'll ...

Notable

AI Platform Engineer

San Mateo, CA · On-site

$170K - $205K/yr

Notable builds AI-driven automation for healthcare. As a Senior AI Platform Engineer, you will design, build, and maintain LLM integrations that power AI features across Notable's solutions. You'll ...

Applied Compute

AI Platform Engineer

San Francisco, CA · On-site

$190K - $310K/yr

The role As an AI platform engineer, you'll build the products, interfaces, and tools that define how people interact with Applied Compute's agents. You'll own the full stack of our application ...

BrainCo

AI Platform Engineer, DevX

San Francisco, CA · On-site

... engineer at BrainCo can ship. As we grow from a handful of teams to dozens - building AI systems for governments and regulated industries - the platform that lets us move quickly without breaking ...

Adobe

Senior AI Platform Engineer

San Francisco, CA · On-site

$123K - $169K/yr

The AI for Engineering team builds a scalable, production-grade AI platform that powers creativity across design, imaging, motion, and personalization. We are seeking a Staff Engineer - AI for ...

Adobe

Senior AI Platform Engineer

San Jose, CA · On-site

$122K - $168K/yr

They are seeking a Staff Engineer - AI for Engineering to design and build the next-generation AI systems that enhance creativity and engineering productivity across their platforms. Responsibilities ...

Adobe, Inc.

Senior AI Platform Engineer

San Jose, CA · On-site

$122K - $168K/yr

The AI for Engineering team builds a scalable, production-grade AI platform that powers creativity across design, imaging, motion, and personalization. We are seeking a Staff Engineer - AI for ...

Adobe Systems

Senior AI Platform Engineer

San Jose, CA · On-site

$122K - $168K/yr

The AI for Engineering team builds a scalable, production-grade AI platform that powers creativity across design, imaging, motion, and personalization. We are seeking a Staff Engineer - AI for ...

New

Afresh

Senior AI Platform Engineer

San Francisco, CA · On-site

$144K - $190K/yr

As a Senior AI Platform Engineer , you build the AI and data platform that powers Afresh's products: the knowledge and retrieval layer that makes grocery data reliably usable by LLMs, the agent ...

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All JobsAi Platform Engineer JobsAi Platform Engineer Jobs in California

Ai Platform Engineer information

See California salary details

$32

$63

$93

How much do ai platform engineer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for ai platform engineer in California is $63.12, according to ZipRecruiter salary data. Most workers in this role earn between $49.81 and $72.84 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

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

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.

What are popular job titles related to Ai Platform Engineer jobs in California?

For Ai Platform Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Ai Platform Engineer jobs in California look for?

The top searched job categories for Ai Platform Engineer jobs in California are:

What cities in California are hiring for Ai Platform Engineer jobs?

Cities in California with the most Ai Platform Engineer job openings:

Ai Platform Engineer jobs near you
Infographic showing various Ai Platform Engineer job openings in California as of August 2026, with employment types broken down into 57% Full Time, 38% Part Time, 2% Temporary, and 3% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $131,284 per year, or $63.1 per hour.

AI Platform Engineer

Sapiom, Inc

San Francisco, CA • On-site

Full-time

Posted 11 days ago

Job description

About Sapiom
Sapiom is the end-to-end platform that removes barriers to ship and scale agentic products.
We unify everything an agent needs to act in the world: compute and sandboxes, memory, identity, domains and DNS, spend controls, browser automation, web search and deep research, databases, storage, queues, messaging, image generation, voice, enrichment, verification, and monitoring provisioned together as one thing, not handed over as a framework for builders to assemble themselves. Pricing is just as simple: a plan, a generous free tier, pay for what you use when you use it.
We have assembled a world-class team with deep infrastructure and payments DNA to build the operating system for machines. Backed by a $15.75M investment from Accel, Menlo, and Anthropic, we are moving with relentless focus to allow builders to ship and scale agentic products.
About the Role
As a Staff AI Platform Engineer, you'll help define the technical direction of the platform from the ground up. You'll architect distributed systems that power AI agents in production, establish engineering best practices, and partner closely with leadership to shape both the technology and the company.
This is an opportunity to join early and have an outsized impact on the architecture, culture, and product strategy of an AI infrastructure company.
What you'll do
  • Architect the core platform that powers AI agents in production.
  • Design distributed systems for agent orchestration, execution, memory, tool calling, workflow coordination, and communication.
  • Build reliable infrastructure that enables AI agents to operate safely and efficiently across enterprise environments.
  • Lead the technical design of foundational platform capabilities, balancing performance, reliability, extensibility, and developer experience.
  • Drive architecture decisions across backend systems, APIs, infrastructure, and AI runtime services.
  • Establish engineering standards for scalability, observability, security, and operational excellence.
  • Partner with product and engineering leadership to translate emerging AI capabilities into production-ready platform features.
  • Mentor engineers through design reviews, technical guidance, and hands-on collaboration.
  • Lead complex, cross-functional initiatives from concept through production.
We're looking for someone who has
  • 8+ years of experience building large-scale backend systems, distributed systems, or developer platforms.
  • Experience operating technical leadership at the Staff or Principal Engineer level, or demonstrated equivalent scope and impact.
  • Strong programming skills in Python, Go, Typescript, or similar languages.
  • Experience building developer platforms, SDKs, or API-first products that prioritize reliability, scalability, and developer experience.
  • Experience working with modern AI systems, including LLMs, tool calling, structured outputs, retrieval, or agentic workflows.
  • Strong systems thinking with the ability to simplify complex technical problems.
  • A track record of driving technical strategy while remaining hands-on.
  • Experience with event-driven architectures, workflow engines, or distributed execution systems.
Nice to have
  • Experience building production AI agent platforms or orchestration frameworks.
  • Familiarity with LangGraph, OpenAI Agents SDK, CrewAI, AutoGen, Temporal, or similar orchestration technologies.
  • Experience with vector databases, retrieval systems, and knowledge infrastructure.
  • Experience with LLM serving technologies such as vLLM, SGLang, or TensorRT-LLM.
  • Contributions to open-source infrastructure or AI projects.
Why Sapiom
We're building the infrastructure that will power the next generation of AI applications.
Rather than building a single AI product, we're creating the platform developers use to build intelligent, autonomous systems that can coordinate work, integrate with enterprise software, and execute complex workflows reliably.
As one of the earliest senior engineers, you'll have significant influence over our architecture, engineering culture, and product direction. You'll help define the technical foundation of a company solving some of the hardest problems in production AI.

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