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Remote Ai Engineer Salary In Jobs in San Ramon, CA

AI Engineer, Product

San Francisco, CA · On-site +1

$171K - $240K/yr

... of fully remote work! Responsibilities * Build and ship customer-facing features in production ... Compensation The expected salary range for this role is $171,000 - $240,000 USD. However, the ...

Senior AI Engineer

San Francisco, CA · Remote

$190K - $255K/yr

We're based in San Francisco, CA, and built remote-first. We're backed by Goldman Sachs ... As a Senior AI Engineer, you'll own meaningful product areas end-to-end--designing agentic ...

GCP / AI Cloud Engineer

Sunnyvale, CA · Remote

$60K - $120K/yr

Secret Security Clearance Required About the Role We are seeking a GCP AI / Cloud Engineer with ... in the United States and must possess an active U.S. Secret Security Clearance. This is a remote ...

AI Engineer

San Francisco, CA · On-site +1

$150K - $200K/yr

Is obsessed with pushing what's possible with AI and scalable systems. $150,000 - $200,000 a year Gross salary range What We Offer • Competitive equity in a venture-backed company shaping the ...

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 ...

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 ...

The Role As a Robotics AI Engineer, you will work at the intersection of learning and hardware ... This is not a research role in the traditional sense. You will be expected to get results on ...

As Revic's Founding GTM AI Engineer, you will work directly with Revic's CEO, Head of Revenue, and ... Area | Remote (US) Offsite - We trade slack for sunshine, every quarter we meet in-person The ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

Showing results 41-60

Remote Ai Engineer Salary In information

See San Ramon, CA salary details

$42.5K

$129.5K

$214K

How much do remote ai engineer salary in jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote ai engineer salary in in San Ramon, CA is $129,481.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $169,300.00 per year, depending on experience, location, and employer.

What is the difference between Remote Ai Engineer Salary In vs Data Scientist?

RoleAverage Salary RangeRequired CredentialsWork Environment
Remote Ai Engineer$80,000 - $140,000Bachelor's or higher in CS, AI, or related fields; experience with ML frameworksRemote, tech companies, startups
Data Scientist$75,000 - $135,000Bachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis toolsRemote, finance, tech, healthcare industries

Both roles require strong technical credentials and often similar work environments, but salaries for Remote Ai Engineers tend to be slightly higher due to specialized AI development skills. Understanding these differences can help job seekers target the right roles and salary expectations.

Can you work remotely as a remote AI engineer?

Yes, many AI engineering roles are available as remote positions, especially those focused on software development, data analysis, and machine learning model deployment. Remote AI engineers typically need strong programming skills in languages like Python, experience with cloud platforms, and effective communication tools to collaborate with teams. Availability of remote work depends on the employer and specific job requirements.

How much do remote AI engineers make?

Remote AI engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, or specific tools like TensorFlow or PyTorch may command higher salaries. Compensation can also include benefits such as bonuses, stock options, and flexible schedules.

Is a remote AI engineer a high paying job?

Remote AI engineers typically earn high salaries due to the specialized skills required in machine learning, deep learning, and programming with tools like Python and TensorFlow. Compensation varies based on experience, location, and company, but generally, AI engineering is considered a well-paying role in the tech industry.

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For Remote Ai Engineer Salary In jobs in San Ramon, CA, the most frequently searched job titles are:

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The top searched job categories for Remote Ai Engineer Salary In jobs in San Ramon, CA are:

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Infographic showing various Remote Ai Engineer Salary In job openings in San Ramon, CA as of June 2026, with employment types broken down into 52% Full Time, and 48% Part Time. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $129,481 per year, or $62.3 per hour.

AI Engineer, Product

San Francisco, CA • On-site, Remote

$171K - $240K/yr

Full-time

Re-posted 19 days ago


Key responsibilities

  • Build and ship customer-facing features in production, from sketch to rollout and iteration based on real customer feedback.

  • Define and evolve data contracts between the agent and Brex's financial system of record.

  • Stand up feedback and evaluation loops to gather product signals and implement product improvements.


Job description

AI at Brex

AI Engineering at Brex is redefining how businesses run their finances by building intelligent, autonomous systems directly into the Brex platform. Our teams develop AI agents that don't just surface insights-they take action, optimizing spend, managing workflows, and making real-time decisions on behalf of our customers. By deeply integrating proprietary financial data with product and platform infrastructure, we're turning complex financial operations into simple, automated experiences and setting a new standard for how modern finance works.

What you'll do

You'll be a product engineer building Brex's Audit Agent - an agentic system that reviews customer spend at scale and replaces the manual work traditionally done by BPO teams. The agent itself reasons; the surrounding product harness is what makes that reasoning useful, trustworthy, and operable for real customers.

That product harness is where you'll live. You'll design and ship the workflows, surfaces, and data flows that turn the agent's output into something a reviewer can trust and act on - from the reviewer experience itself, to the contracts with Brex's financial system of record, to the feedback loops that make the agent better over time. You'll move fluidly between backend and frontend as the work demands, picking the right altitude for the problem rather than defending a layer.

This role sits between deep agent design and the customer-facing UI, and it leans toward whichever side the next user problem lives on. You'll partner closely with the engineers driving each - translating ambiguous product requirements into shipped features, pushing back when the design isn't right, and treating the seam between agent reasoning and human workflow as a first-class product surface.

The majority of your work will be backend: system design, data modeling, API shape. A meaningful minority will be on the UI itself, where you'll build alongside our frontend engineers when that's where the next user problem lives.

Where you'll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We require three coordinated days in the office per week - Monday, Wednesday, and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

  • Build and ship customer-facing features in production - from sketch to rollout to iteration based on real customer feedback.
  • Define the data contracts between the agent and the rest of Brex's financial system of record, and evolve them as the product gets sharper.
  • Stand up feedback and evaluation loops that let us quickly gather product signals and close them with product fixes - better signals, better surfaces, better workflows.
  • Run experiments on customer-facing behavior (UI flows, prompt-driven product changes, new review modes) and make calls based on what the data says.
  • Talk to customers and reviewers directly, bring what you learn back into the product, and prioritize what to build next on the team.

Requirements

  • Strong track record of shipping customer-facing features end-to-end across both backend and frontend - you don't bounce work over a wall, and you've built enough of each to have real opinions.
  • Product mindset: you reason about users, workflows, and outcomes first, and treat the system as the means to an end. Comfort with ambiguity and willingness to talk to customers directly.
  • Strong bias towards action - you've operated in environments where the next thing to build wasn't handed to you in a ticket, and you've shipped things that didn't exist before.
  • Comfort working across team boundaries and pushing back on decisions outside your direct ownership when the seam isn't right - agent design, UX, data model, all fair game.
  • Strong backend foundation - system design, data modeling, API shape - and the disposition to ship the UI yourself when that's what the user problem needs, rather than handing it off

Bonus points

  • Early-stage startup experience, or time on a small team where you owned a product surface end-to-end.
  • Experience building products on top of LLMs or agentic systems - particularly the surrounding harness (evaluation, tracing, feedback loops, human-in-the-loop workflows).
  • Background in fintech, compliance, audit, fraud, or other domains where review workflows and traceability matter.
  • Experience operating where the underlying system is non-deterministic and the product has to compensate for that.
  • Track record of being the engineer teams pull in when a project is stuck across backend, frontend, and a third system that nobody fully owns.

Compensation

The expected salary range for this role is $171,000 - $240,000 USD.  However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.