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Internship Ai Agent Developer Jobs in California

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 ...

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 ...

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Internship Ai Agent Developer information

What types of projects do internship AI agent developers typically work on?

Internship AI Agent Developers often work on practical projects such as building conversational bots, optimizing existing AI workflows, or developing small-scale machine learning models. These projects are designed to expose interns to real-world challenges, including data preprocessing, model evaluation, and team-based problem-solving. As part of a collaborative team, interns usually participate in code reviews, brainstorming sessions, and weekly stand-ups, offering many opportunities to learn from experienced developers and data scientists. This hands-on experience helps interns gain valuable technical and communication skills that are essential for a career in AI development.

What does an internship AI agent developer do?

An Internship AI Agent Developer assists in designing, developing, and testing artificial intelligence agents, such as chatbots or virtual assistants. These interns typically work with machine learning models, natural language processing, and programming languages like Python. Their tasks may include coding, data preparation, model training, and evaluating agent performance. The role provides hands-on experience under the supervision of experienced AI engineers, helping interns build practical skills in AI development.

What are the key skills and qualifications needed to thrive as an internship AI agent developer?

To thrive as an Internship AI Agent Developer, a strong foundation in programming (especially Python), machine learning concepts, and data analysis is essential, typically supported by coursework or relevant project experience. Familiarity with frameworks like TensorFlow or PyTorch, version control systems such as Git, and exposure to AI development environments is highly valuable. Problem-solving skills, curiosity, and effective communication help interns stand out by enabling them to learn quickly and collaborate with teams. These abilities are crucial for contributing to innovative AI projects and efficiently adapting to a fast-paced, evolving technical environment.
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Infographic showing various Internship Ai Agent Developer job openings in California as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Staff AI Agent Engineer

Liberate

San Francisco, CA • Hybrid

Full-time

Re-posted 26 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

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