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Ai Agent Engineer Jobs (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 ...

Mark Miller Subaru

AI Agent Engineer

Sandy, UT · On-site

$14.25 - $19/hr

Mark Miller Subaru is seeking an AI Agent Engineer to design, build, and test intelligent agents that solve real business problems across our dealership operations. You'll develop and optimize agent ...

GE Vernova

Senior AI Agent Engineer

Cambridge, MA

$113K - $188K/yr

Summary We are seeking a highly motivated and talented Sr AI Agent Engineer to join our dynamic team. The successful candidate will be responsible for creating and optimizing prompts for LLMs ...

GE Vernova

Senior AI Agent Engineer

Niskayuna, NY

$113K - $188K/yr

Summary We are seeking a highly motivated and talented Sr AI Agent Engineer to join our dynamic team. The successful candidate will be responsible for creating and optimizing prompts for LLMs ...

Liberate

AI Agent Engineer

San Francisco, CA · On-site

$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 ...

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 ...

Liberate

AI Agent Engineer

Boston, MA · On-site

$120K - $170K/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 ...

Liberate

AI Agent Engineer

Boston, MA · Hybrid

$120K - $170K/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 ...

Pelago

AI Agent Engineer

New York, NY · On-site

As an AI Agent Engineer, you'll identify workflows that are repetitive, manual, or unnecessarily complex and redesign them as AI-powered systems that meaningfully change how we operate. That might ...

Pelago

AI Agent Engineer

New York, NY · Hybrid

As an AI Agent Engineer, you'll identify workflows that are repetitive, manual, or unnecessarily complex and redesign them as AI-powered systems that meaningfully change how we operate. That might ...

ClearlyAgile

AI Agent Developer

Tampa, FL · Remote

AI Agent Developer (LLM Specialist) Role Overview The AI Agent Developer is responsible for designing, building, and deploying intelligent autonomous or semi-autonomous agents powered by Large ...

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Ai Agent Engineer information

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How much do ai agent engineer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for ai agent engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 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.

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Ai Agent Engineer jobs near you
Infographic showing various Ai Agent Engineer job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

Staff AI Agent Engineer

Liberate

San Francisco, CA • Hybrid

Other

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

Apply