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Remote Ai Engineer Jobs in California (NOW HIRING)

Brex

AI Engineer, Ecosystem

San Francisco, CA · On-site +1

$171K - $240K/yr

AI at Brex AI Engineering at Brex is redefining how businesses run their finances by building ... As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Own Brex ...

General Motors

Staff AI Engineer - SimAI Team

Sunnyvale, CA · On-site +1

$189K - $290K/yr

As an AI Engineer on the team, you will build and deploy applied AI/ML solutions that directly ... Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin ...

Fieldguide

Senior AI Engineer, Quality

San Francisco, CA · On-site +1

$200K - $250K/yr

We're based in San Francisco, CA, but built as a remote-first company that enables you to do your ... As a Senior AI Engineer, Quality , you will own the evaluation infrastructure that ensures our AI ...

Brex

AI Engineer, Product

San Francisco, CA · On-site +1

$171K - $240K/yr

AI at Brex AI Engineering at Brex is redefining how businesses run their finances by building ... As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Build ...

Workato

Staff AI Engineer

Palo Alto, CA · On-site +1

Quartz ranked us the #1 best company for remote workers Responsibilities As we work towards ... AI Engineer with experience in Search Relevance to join our growing team. In this role, you will ...

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Remote Ai Engineer information

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How much do remote ai engineer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for remote ai engineer in California is $52.93, according to ZipRecruiter salary data. Most workers in this role earn between $42.69 and $61.44 per hour, depending on experience, location, and employer.

What is a remote AI engineer?

A Remote AI Engineer is a professional who designs, develops, and deploys artificial intelligence models and systems while working from a remote location. They use machine learning, deep learning, and data science techniques to build AI-powered applications, improve automation, and solve complex problems. Responsibilities often include data preprocessing, model training, fine-tuning, and integrating AI solutions into products or services. These engineers collaborate with cross-functional teams online, using cloud-based tools and platforms for development and deployment. Remote AI Engineers typically need strong programming skills in languages like Python, experience with frameworks like TensorFlow or PyTorch, and familiarity with cloud computing and MLOps.

What is it like collaborating with team members as a remote AI engineer?

As a Remote AI Engineer, collaboration typically occurs through virtual meetings, code reviews, shared documentation, and messaging platforms like Slack or Teams. You will work closely with data scientists, product managers, and software engineers to define requirements, design solutions, and integrate AI models into products or services. Strong communication and proactive reporting are highly valued to ensure project alignment and seamless progress. Effective collaboration in a remote setting not only enhances project outcomes but also fosters professional growth and a sense of team cohesion.

What are the most commonly searched types of Ai Engineer jobs in California?

The most popular types of Ai Engineer jobs in California are:

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

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

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

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

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

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

Remote Ai Engineer jobs near you
Infographic showing various Remote Ai Engineer job openings in California as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $110,091 per year, or $52.9 per hour.

AI Backend Engineer, Work From Home

Parallel Partners

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 21 days ago

Job 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

Looking to hire an AI Backend Engineer in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire AI Backend Engineers for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!


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