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Ai Agent Developer Jobs in California (NOW HIRING)

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 ...

Jobzhr

AI Agent Engineer

Cupertino, CA · On-site

$180 - $240/hr

Optimize prompts, memory systems, retrieval pipelines, and agent architectures * Collaborate with product, engineering, and design teams to translate real-world problems into AI-driven solutions

Techvilla Solutions

Senior AI Agent Engineer

Palo Alto, CA · On-site

$122K - $168K/yr

We are seeking an Agent Engineer to help build the next generation of AI-powered workflows and intelligent systems. In this role, you will design and deploy agentic solutions that can reason, plan ...

Liberate

AI Agent Engineer

San Francisco, CA · Hybrid

$120K - $190K/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 ...

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Ai Agent Developer information

See California salary details

$28.6K

$47.3K

$98.2K

How much do ai agent developer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for ai agent developer in California is $47,303.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,600.00 and $50,300.00 per year, depending on experience, location, and employer.

What is an AI agent developer?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI agent developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

What are the key skills and qualifications needed to thrive in the AI agent developer position, and why are they important?

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

How to become an AI agent developer?

To become an AI agent developer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of AI concepts such as natural language processing and reinforcement learning. Gaining relevant education through degrees or online courses and building a portfolio of AI projects can also enhance your qualifications.

Is an AI Agent Developer a good career?

An AI Agent Developer is a promising career path in the technology industry, focusing on creating intelligent systems that can perform tasks autonomously. It typically requires skills in programming, machine learning, and AI frameworks, with strong job growth prospects due to increasing demand for automation and AI solutions. The role offers opportunities for innovation and specialization in emerging technologies.

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

The most popular types of Ai Agent Developer jobs in California are:

What are popular job titles related to Ai Agent Developer jobs in California?

For Ai Agent Developer jobs in California, the most frequently searched job titles are:

What job categories do people searching Ai Agent Developer jobs in California look for?

The top searched job categories for Ai Agent Developer jobs in California are:

What cities in California are hiring for Ai Agent Developer jobs?

Cities in California with the most Ai Agent Developer job openings:

Ai Agent Developer jobs near you
Infographic showing various Ai Agent Developer job openings in California as of August 2026, with employment types broken down into 11% Internship, and 89% Full Time. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $47,303 per year, or $22.7 per hour.

Staff AI Agent Engineer

San Francisco, CA • Hybrid

Liberate
See more jobs at Liberateexternal

Full-time

Re-posted 18 days ago

Job description

About Us:

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 Staff AI Agent Engineer, you are a force multiplier for customer deployments and agent quality. You own complex customer launches end to end and turn hard, bespoke problems into repeatable patterns. You operate with strong judgment, raise the engineering bar in the work, and reduce dependency on leadership by owning outcomes directly.

This role is hands-on, customer-facing, and deeply technical. You are not a solutions engineer. You are an engineer who ships.

What You'll Do
  • Own complex, high-impact agent deployments from design through production
  • Design, build, and iterate on agent workflows, prompts, evals, and integrations
  • Turn customer-specific learnings into reusable templates, playbooks, and patterns
  • Partner with Product and Platform to influence roadmap based on real-world usage
  • Debug and improve agent behavior using structured evals, monitoring, and analysis
  • Lead technical reviews for agent design, launch readiness, and post-launch quality
  • Mentor other Agent Engineers through example and direct coaching
  • Raise the bar on engineering quality, operational rigor, and reuse in deployments
What We're Looking For

Must Have

  • 6+ years of professional software engineering experience
  • Strong hands-on experience building and operating production systems
  • Fluency in Python and modern backend systems (APIs, services, cloud)
  • Experience working with LLM-based systems, prompts, tools, or agent frameworks
  • Ability to reason about quality, failure modes, and operational risk
  • Comfort working directly with customers on technically complex problems
  • High ownership, good judgment, and the ability to operate under pressure

Nice to Have

  • Experience with agentic systems, eval frameworks, or AI observability
  • Prior work in B2B SaaS, enterprise software, or regulated environments
  • Experience turning bespoke solutions into reusable systems

Apply