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Ai Agent Engineer Jobs (NOW HIRING)

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 ...

Cresta

Senior Forward Deployed Engineer (AI Agent)

OR · On-site +1

$104K - $143K/yr

As an AI Agent Engineer , you'll be at the forefront of deploying AI agents that address real-world challenges. In this role, you will work closely with customers as well as our software and machine ...

Saviynt

Marketing Ops AI Agent Engineer

OR · Remote

We're looking for a Marketing AI Agent Engineer to help build, configure, and scale AI-powered GTM workflows across Marketing, SDR, and Revenue Operations. This role will sit at the intersection of ...

Adobe

Senior / AI Agent Engineer, Brand Concierge

San Jose, CA · On-site

$122K - $168K/yr

They are seeking a Senior AI Agent Engineer to design, build, and maintain intelligent agents that drive automation and business impact across the enterprise. Responsibilities : • Build and fine ...

Liberate

Senior AI Agent Engineer

Boston, MA · Hybrid

$120K - $210K/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

Senior AI Agent Engineer

Boston, MA · On-site

$120K - $210K/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 ...

RightTalents

Agent Engineer

Manhattan, NY

$16.50 - $22/hr

The Agent Engineer designs, develops, and iterates on AI agents that can reason, plan, and execute multi-step tasks autonomously. This is the core builder role of the agentic technology stack ...

Saviynt

Marketing Ops AI Agent Engineer

We're looking for a Marketing AI Agent Engineer to help build, configure, and scale AI-powered GTM workflows across Marketing, SDR, and Revenue Operations. This role will sit at the intersection of ...

TRM

AI Agent Engineer - US Remote

The AI Engineering Team is chartered with enabling next-generation AI applications , with a special ... Design safe, observable, and auditable agent behaviors - ensuring reliability in high-sensitivity ...

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 ...

Arcade Studio Inc

Agent Engineer

San Francisco, CA · On-site

About Arcade Arcade is building the world's first AI physical product creation platform, where ... Role Summary Agent Engineers at Arcade build and evolve the AI agent systems that power consumer ...

Fortinet

AI Agent Developer

Sunnyvale, CA

$112K - $160K/yr

We are looking for a Junior AI Agent Developer to join our growing team. In this role, you will help design, build, and maintain intelligent AI agents that automate workflows, interact with users ...

Pika

Senior Software Engineer, Agent

Palo Alto, CA · On-site

$185K - $300K/yr

Senior Software Engineer, Agent Department: Engineering | Location: Palo Alto HQ | Type: Full-time, ... You'll work on the systems that give AI agents their personality, memory, reasoning, multi-modal ...

NICE

Key Pursuits Forward Deployed Engineer

The engineer works directly with customers and internal stakeholders to translate complex business ... AI Agent Design & Development * Design and build AI-driven virtual agents that automate customer ...

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How much do ai agent engineer jobs pay per hour?

As of Jun 11, 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 a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI executives, senior machine learning engineers, or specialized research scientists earning total compensation that includes salary, bonuses, and stock options. These positions often require advanced skills in AI development, leadership experience, and a strong track record in the industry.

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.

Which 3 jobs will survive AI?

For an AI Agent Engineer, roles that require complex problem-solving, creativity, and emotional intelligence are likely to persist, such as software developers, data scientists, and user experience designers. These jobs involve tasks that are difficult for AI to fully replicate and often require human oversight, critical thinking, and interpersonal skills. Continuous learning and expertise in AI tools can also help professionals stay relevant in evolving tech environments.

What engineers make $500,000?

Senior AI Agent Engineers, machine learning engineers, and data scientists with extensive experience and advanced skills in AI development can earn $500,000 or more annually, especially in high-demand industries or companies. Achieving this level typically requires specialized expertise, advanced degrees, and a strong track record of successful projects.

What is an AI agent engineer?

An AI agent engineer designs, develops, and maintains autonomous AI systems that can perceive their environment, make decisions, and perform tasks independently. They often work with machine learning models, reinforcement learning, and simulation tools to create intelligent agents for applications like robotics, virtual assistants, or automation systems.
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Ai Agent Engineer jobs near you
Infographic showing various Ai Agent Engineer job openings in the United States as of June 2026, with employment types broken down into 72% Full Time, 27% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

Senior AI Agent Engineer

Liberate

San Francisco, CA • On-site

$120K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

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.
About The Role:
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 closely with customer success, sales, product, and engineering teams to deliver AI-driven solutions that drive measurable value for our customers.
*Location: Boston or San Francisco (Berkeley) hybrid role (2 day/week in-office)
Key Responsibilities:
  • Collaborate with the sales team to understand customer requirements and design tailored AI-driven solutions that meet their specific business needs.
  • Serve as the technical expert during the post-sales process, providing product demonstrations, technical presentations, and answering detailed customer inquiries.
  • Work closely with customers to assess their current systems and workflows, identifying integration points for our AI solutions.
  • Develop and deliver customized product configurations and prototypes to demonstrate the value and functionality of our solutions.
  • Assist in the implementation process by providing technical guidance, troubleshooting issues, and ensuring seamless integration with customer systems.
  • Act as a liaison between customers and the product development team, communicating customer feedback and helping to shape future product features.
  • Provide post-sales support to ensure customer satisfaction and continued product success.
  • Create and maintain technical documentation, including integration guides, FAQs, and best practices.
Qualifications:
Must have
  • 7+ years of experience in a solutions engineering or technical consulting role, preferably within the AI or technology sectors.
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Extreme sense of ownership, urgency, and customer obsession to ensure that you will thrive in our early stage enterprise startup environment
  • Experience with programming languages such as Python, Java, or similar, and familiarity with APIs, data integration, and cloud platforms.
  • Strong technical background with experience in software development, system integration, and cloud-based solutions.
  • Excellent communication and presentation skills, with the ability to clearly explain complex technical concepts to both technical and non-technical audiences.
  • Proven ability to manage multiple customer engagements simultaneously, delivering high-quality results under tight deadlines.
  • Strong problem-solving skills and a proactive approach to addressing customer challenges.

Nice to have
  • Familiarity with AI, machine learning, and data analytics technologies and how they can be applied in enterprise environments.
  • Experience in the insurance technology or financial services industries.
  • Previous experience working in a startup or high-growth environment.
  • Certifications in cloud platforms such as AWS, Google Cloud, or Azure.

Salary Range: $120,000-$220,000
The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
Benefits:
  • Competitive salary with equity options
  • Flexible PTO
  • 401(k) plan
  • Comprehensive health, dental, and vision insurance
  • Flexible work environment
  • Collaborative and innovative company culture

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