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Ai Agent Engineer Jobs in San Ramon, CA (NOW HIRING)

Liberate

Principal AI Agent Engineer

San Francisco, CA · On-site

Boston or San Francisco (Berkeley), hybrid (2 days/week in office) About the Role As a Principal AI Agent Engineer , you define what "great" looks like for agent engineering at Liberate. You set the ...

Liberate

Staff AI Agent Engineer

San Francisco, CA · Hybrid

Boston or San Francisco (Berkeley), hybrid (2 days/week in office) About the Role As a Staff AI Agent Engineer , you are a force multiplier for customer deployments and agent quality. You own complex ...

Liberate

Staff AI Agent Engineer

San Francisco, CA · On-site

Boston or San Francisco (Berkeley), hybrid (2 days/week in office) About the Role As a Staff AI Agent Engineer , you are a force multiplier for customer deployments and agent quality. You own complex ...

Liberate

Senior AI Agent Engineer

San Francisco, CA · On-site

$120K - $220K/yr

We are seeking an AI Agent Engineer to bridge the gap between our cutting-edge products and our customers' technical needs, ensuring successful deployment and integration. In this role, you will work ...

Eloquent AI

AI Engineer, Agent

San Francisco, CA · On-site

Your Role As an AI Agent Engineer at Eloquent AI, you will be at the forefront of building, deploying, and optimizing enterprise-grade AI agents that handle high-stakes conversations. You'll work ...

Kaizen Stackup

Agent Engineer

San Francisco, CA · On-site

$17.75 - $23.50/hr

Full-time Agent Engineer About Us We're at the forefront of developing cutting-edge AI-powered agent systems that are revolutionizing how businesses interact with their customers and manage their ...

Coframe

Agent Engineer

San Francisco, CA · On-site

$180K - $500K/yr

At Coframe, we're building AI systems that can autonomously generate, verify, deploy, and personalize living interfaces at scale. As an Agent Engineer, you'll build the core intelligence behind these ...

OPPO US Research Center

AI Engineer

Palo Alto, CA · On-site

In this role, you will design, develop, and deploy advanced LLM and AI Agent technologies that ... Design and improve prompt engineering and context engineering workflows, including AI evaluation ...

OPPO US Research Center

AI Engineer

Palo Alto, CA · On-site

In this role, you will design, develop, and deploy advanced LLM and AI Agent technologies that ... engineering workflows, including AI evaluation, debugging, and tuning for real-world product ...

OPPO US Research Center

AI Engineer

Palo Alto, CA · On-site

In this role, you will design, develop, and deploy advanced LLM and AI Agent technologies that ... engineering workflows, including AI evaluation, debugging, and tuning for real-world product ...

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All JobsAi Agent Engineer JobsAi Agent Engineer Jobs in San Ramon, CA

Ai Agent Engineer information

See San Ramon, CA salary details

$28

$59

$85

How much do ai agent engineer jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for ai agent engineer in San Ramon, CA is $59.93, according to ZipRecruiter salary data. Most workers in this role earn between $48.37 and $69.57 per hour, depending on experience, location, and employer.

What is an AI Agent Engineer job?

An AI Agent Engineer designs, develops, and optimizes autonomous AI agents that can perceive, reason, and act within digital or real-world environments. They work with machine learning, reinforcement learning, and natural language processing to build intelligent systems that interact dynamically with users and other agents. These engineers often integrate AI models with APIs, databases, and software applications to create functional and scalable AI-driven solutions. Their role bridges software engineering and artificial intelligence, ensuring agents operate efficiently and adaptively in various use cases.

What are some typical challenges faced by AI Agent Engineers in their day-to-day work?

AI Agent Engineers often encounter challenges such as optimizing agent performance for real-time environments, integrating new algorithms without disrupting existing systems, and ensuring their models can handle diverse and dynamic real-world data. Troubleshooting unexpected behaviors or edge cases and keeping up with rapidly evolving research in artificial intelligence can also be demanding. Working closely with product managers, data scientists, and software developers helps address these challenges, making collaboration and adaptability key components of daily tasks. Overcoming these issues offers valuable learning opportunities and contributes to the growth of robust, innovative AI solutions.

What are the key skills and qualifications needed to thrive in the Ai Agent Engineer position, and why are they important?

To excel as an AI Agent Engineer, you need a robust background in computer science, machine learning, and software engineering, often supported by a degree in a STEM field. Familiarity with programming languages like Python, relevant AI frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are typically expected, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, effective communication, and teamwork skills are essential soft skills for collaborating on complex AI projects. These competencies ensure you can design, implement, and refine intelligent agents that meet real-world challenges and deliver business value.

What are popular job titles related to Ai Agent Engineer jobs in San Ramon, CA? For Ai Agent Engineer jobs in San Ramon, CA, the most frequently searched job titles are:
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What cities near San Ramon, CA are hiring for Ai Agent Engineer jobs? Cities near San Ramon, CA with the most Ai Agent Engineer job openings:
Ai Agent Engineer jobs near you
Infographic showing various Ai Agent Engineer job openings in San Ramon, CA as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $124,662 per year, or $59.9 per hour.
Principal AI Agent Engineer

Principal AI Agent Engineer

Liberate

San Francisco, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry. We started with voice - the hardest and most valuable channel in insurance - and are now expanding into full workflow automation across sales, servicing, and claims. Our long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance carrier and broker operations. We've raised $72M to date, including a $50M Series B in October 2025, backed by top-tier venture firms.
Location: Boston or San Francisco (Berkeley), hybrid (2 days/week in office)
About the Role
As a Principal AI Agent Engineer, you define what "great" looks like for agent engineering at Liberate. You set the technical bar, shape how we deploy AI at scale, and ensure we build leverage instead of heroics.
You operate across customers, teams, and initiatives. You are trusted with the hardest problems, the messiest launches, and the highest-risk decisions. Your impact shows up not just in what you ship, but in how the organization gets stronger around you.
What You'll Do
  • Act as the technical authority for agent architecture, quality, and deployment
  • Own the most complex and high-risk customer launches and recoveries
  • Define standards for agent design, prompts, evals, monitoring, and launch readiness
  • Identify systemic gaps and drive solutions that reduce repeat incidents and toil
  • Partner closely with Platform, Data Science, and Product to shape agent strategy
  • Design reusable frameworks that turn customer work into durable platform leverage
  • Lead by example in reviews, incidents, retros, and hard tradeoff decisions
  • Mentor Staff and Senior engineers and raise the bar across the org
What We're Looking For
Must Have
  • 10+ years of software engineering experience, including senior technical leadership
  • Proven track record of owning large, ambiguous systems in production
  • Deep understanding of system design, failure modes, and operational excellence
  • Strong intuition for AI agent behavior, evaluation, and risk management
  • Ability to set standards and influence without formal authority
  • Calm, decisive leadership during incidents and crunch time
  • High bar for quality, leverage, and long-term system health

Nice to Have
  • Experience designing or scaling agentic or LLM-powered platforms
  • Experience in regulated, high-stakes, or customer-facing systems
  • Prior Staff/Principal/Distinguished-level experience at a strong engineering org

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