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Full Time Ai Agent Developer Jobs (NOW HIRING)

As an AI Agent Developer , you will design, build, and continuously improve AI agents that handle real member interactions across the full customer lifecycle: from quoting and binding coverage, to ...

AI Agent Developer

Eagan, MN · On-site

$76K - $102K/yr

Summary The AI Agent Developer will design, develop, and optimize AI-driven solutions, including crafting effective prompts for large language models (LLMs) and building AI agents to automate tasks ...

As an AI Agent Developer , you will design, build, and continuously improve AI agents that handle real member interactions across the full customer lifecycle: from quoting and binding coverage, to ...

AI Agent Developer

Eagan, MN · Hybrid

$76K - $102K/yr

Summary The AI Agent Developer will design, develop, and optimize AI-driven solutions, including crafting effective prompts for large language models (LLMs) and building AI agents to automate tasks ...

AI Agent Developer, ServiceNow

Miami, FL · On-site

$51.75 - $71/hr

A Career That Empowers You to Build Your Future We are seeking a skilled and proactive AI Agent Developer to design, build, deploy, and maintain intelligent AI agents on the ServiceNow platform that ...

We are seeking an AI Agent Developer to design, build, and operationalize agentic AI solutions that ... Company: Delta Faucet Company Full time Hiring Range: $88,700.00 - $139,260.00 USD Actual ...

AI Agent Developer, ServiceNow

Miami, FL

$51.75 - $71/hr

A Career That Empowers You to Build Your Future We are seeking a skilled and proactive AI Agent Developer to design, build, deploy, and maintain intelligent AI agents on the ServiceNow platform that ...

We are looking for a Sr AI Agent Developer who is first and foremost a builder-someone who can put their head down, design, and deliver working AI agent solutions that make an immediate impact. This ...

Sosemo is seeking an AI Agent Developer, SEO & Media to design, build, and improve AI-enabled workflows that support search, media, content, reporting, research, and agency operations. The ideal ...

Sosemo is seeking an AI Agent Developer, SEO & Media to design, build, and improve AI-enabled workflows that support search, media, content, reporting, research, and agency operations. The ideal ...

$130K - $150K/yr

We are looking for a Microsoft Copilot and AI Agent Developer to design, build, and deploy AI-powered agents and automation solutions using the Microsoft ecosystem. The ideal candidate has strong ...

Python AI Agent Developer - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

A framework builder mindset - you enjoy designing systems other developers will use. Passionate about AI and automation , eager to experiment with agent-driven architectures.

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Full Time Ai Agent Developer information

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$29K

$47.9K

$99.5K

How much do full time ai agent developer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for full time ai agent developer in the United States is $47,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,000.00 and $51,000.00 per year, depending on experience, location, and employer.

What does a full time AI agent developer do?

A Full Time AI Agent Developer is responsible for designing, building, and maintaining artificial intelligence systems known as 'agents' that can perform tasks autonomously or assist humans in decision-making. This role involves programming, working with machine learning models, and integrating AI agents into software applications. Developers often collaborate with data scientists, engineers, and stakeholders to ensure the AI agents meet user needs and function reliably in real-world environments.

What are the key skills and qualifications needed to thrive as a full time AI agent developer?

To thrive as a Full Time AI Agent Developer, you need strong programming skills (especially in Python), a solid understanding of machine learning, deep learning, and natural language processing, typically supported by a degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and tools such as Git, as well as experience with APIs and cloud platforms, are commonly required. Creative problem-solving, collaboration, and adaptability are valuable soft skills that set top candidates apart. These skills ensure the effective design, implementation, and continuous improvement of intelligent agents in a dynamic and evolving technology landscape.

What are some typical challenges full time AI agent developers face when deploying AI agents into production environments?

Full Time AI Agent Developers often encounter challenges such as ensuring the reliability and scalability of AI agents when moving from development to production. Integrating agents with existing systems, handling real-world data variability, and maintaining performance under changing workloads are common hurdles. Additionally, developers must prioritize model monitoring, updating, and compliance with data privacy standards, collaborating closely with DevOps, data engineers, and product managers. Proactively addressing these challenges ensures smoother deployments and ongoing agent effectiveness.

What is the difference between Full Time Ai Agent Developer vs Machine Learning Engineer?

AspectFull Time Ai Agent DeveloperMachine Learning Engineer
CredentialsBachelor's in CS, AI, or related field; experience with AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming skills
Work EnvironmentDeveloping AI agents for chatbots, virtual assistants, or automation toolsDesigning and deploying machine learning models for various applications
Industry UsageTech companies, customer service, automation firmsTech, finance, healthcare, research institutions

While both roles involve AI and programming, Full Time Ai Agent Developers focus on creating interactive AI agents for specific applications, whereas Machine Learning Engineers develop broader machine learning models for diverse data-driven solutions.

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

The most popular types of Ai Agent Developer jobs are:

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What job categories do people searching Full Time Ai Agent Developer jobs look for?

The top searched job categories for Full Time Ai Agent Developer jobs are:

Infographic showing various Full Time Ai Agent Developer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $47,930 per year, or $23 per hour.

Full-time

Posted 7 days ago


Hagerty rating

8.0

Company rating: 8.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

166th of 310 rated insurance


Job description

Say hello to Hagerty

Hagerty is a company builtby drivers fordrivers. We put our members at the center of everything wedo andare dedicated to making it easier and more enjoyable for enthusiasts to drive and celebrate the machines they love.We'reproud to be the world's largest insurer of collectible andenthusiastvehicles and are home to the Hagerty Drivers Club, the world's largest car club. Our Marketplace business presents live and digital sales across the U.S. and Europe, we hosta number ofdriving events and concours, and ouraward-winningautomotive journalists produce the most popular car magazine globally, alongside internationally awarded videos.We'recommitted to Never Stop Driving.Ready to get in the driver's seat? Join us!

As an AI Agent Developer, you will design, build, and continuously improve AI agents that handle real member interactions across the full customer lifecycle: from quoting and binding coverage, to policy service, to first notice of loss and claims. You will own the end-to-end agent development lifecycle on the Sierra platform, scoping agent behavior, designing conversation flows, integrating with Hagerty's systems, evaluating quality, and iterating relentlessly in production until each agent is the best version of itself. This is a senior individual contributor role. You are expected to operate with autonomy, partner directly with business and technology stakeholders, bring engineering discipline to everything you ship, and drive outcomes that are measurable in member satisfaction, resolution rates, and reduced manual effort.

What you'll do

Own the Agent Development Lifecycle

  • Take agents from initial scope through conversation design, tooling, evaluation, launch, and continuous iteration in production.
  • Translate business goals and member needs into agent behaviors that handle complex, high-volume interactions across quoting, policy service, and claims.
  • Define evaluation criteria for each agent, then use those metrics to drive improvement in resolution rates and member satisfaction.
  • Coordinate across technical and non-technical stakeholders throughout the full build-and-launch process.

Design and Build High-Quality Agents

  • Design and build conversational AI agents on the Sierra platform - expressing goals, procedural knowledge, and deterministic guardrails for regulated or high-stakes interactions.
  • Develop and refine conversational flows, rewrite prompts, and run simulations to tune agent behavior against real member scenarios - edge cases, tone, brand voice, and accuracy all matter.
  • Integrate agents with Hagerty's internal systems and APIs (policy administration, quoting engines, claims platforms) using appropriate authentication patterns and service accounts.
  • Build and maintain immutable agent release snapshots - including model version dependencies, knowledge bases, and prompts - following established release and engineering standards.
  • Apply engineering discipline in a no-code/low-code and declarative platforms: practical logging, error handling, monitoring, automated testing, and regression coverage for critical agent workflows.
  • Validate data accuracy in agent outputs, build reconciliation and anomaly checks where outcomes touch financial or policy data, and raise issues early.

Drive Continuous Quality and Improvement

  • Establish and run structured quality assurance processes - regularly auditing live conversations, annotating agent behavior, and converting findings into regression tests.
  • Use annotated conversations to build a growing test suite that prevents regressions across model upgrades, prompt changes, and platform updates.
  • Monitor agent performance in production, respond to incidents, and iterate rapidly based on usage signals, member feedback, and business outcomes.
  • Participate in on-call production support, sharing responsibility for incident response and agent reliability.

Shape How Hagerty Builds with AI

  • Act as a trusted internal advisor on AI agent strategy - contributing data-driven insights on what's working, where agents can expand, and how to push the platform further.
  • Identify and champion new agent use cases across the member lifecycle as the technology and Hagerty's capabilities evolve.
  • Contribute to team engineering standards, reusable integration patterns, and secure-by-default guardrails for agent development.

This Might Describe You

AI Agent & Technical Experience

  • Hands-on experience building or deploying AI/LLM agents in production - including prompt engineering, eval frameworks, RAG, and agent tooling.
  • Strong technical aptitude: comfortable reading API documentation, understanding data models and system architecture, and engaging in engineering tradeoff discussions.
  • Experience with low-code/no-code or declarative platforms and the ability to ramp quickly on new tooling.
  • Proficiency consuming and integrating APIs, including authentication patterns and working with service accounts.

Engineering Discipline

  • A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience or comparable experience at the intersection of technology and business.
  • Experience applying engineering-quality practices to no-code/low-code development: automated testing where possible, regression coverage for workflows, monitoring and alerting for critical paths.
  • Experience with CI/CD, release management, and deployment promotion practices (dev/test/prod), including versioning and rollback awareness.
  • Strong security posture: least-privilege access, secrets management, auditability, and compliant handling of sensitive member data.
  • Ability to design solutions with clear inputs, outputs, and predictable behavior - built to be maintained and observed over time.

Delivery & Stakeholder Leadership

  • Proven ability to own complex, high-visibility projects end-to-end - from scoping and stakeholder alignment through production launch and continuous improvement.
  • Excellent verbal and written communication skills; able to explain technical concepts clearly to non-technical partners and drive alignment across teams.
  • Strong analytical and problem-solving skills - able to identify risks, develop mitigation strategies, and handle unexpected challenges autonomously.
  • Experience working at the intersection of technology and business operations, with a track record of delivering measurable outcomes.

Nice to Have

  • Experience in insurance, financial services, or another regulated industry.
  • Familiarity with telephony platforms and voice agent development.
  • Background in conversational design, customer experience, or contact center operations.

Other things to note

  • This position is open to U.S. remote work. However, team members whoresidewithin 20 miles of the Traverse City headquarters will follow a hybrid schedule, working from the office three days per week.
  • May require travelfor quarterlyevents.
  • Familiarity with public company requirements, including Sarbanes Oxley and key regulations, if applicable. For SOX compliant roles, responsible for designing, executing, and documenting internal controls where they have been identified as owners to prevent errors in financial reporting, processes, and business operations. Including attestation to the completeness, accuracy, and compliance of all financial reporting data, where applicable.

If you reside in the following jurisdictions: Illinois, Colorado, California, District of Columbia, Hawaii, Maryland, Minnesota, Nevada, New York, or Jersey City, New Jersey, Cincinnati or Toledo, Ohio, Rhode Island, Washington, British Columbia, Canada please emailrecruiting@hagerty.comfor compensation, comprehensive benefits and the perks that set us apart.

At Hagerty, we share the road. We are an inclusive automotive community where all are welcomed,valuedand belong regardless of race, gender, age, or car preference. We are united by our shared passion for driving, our commitment to preserve car culture for futuregenerationsand our desire to make a positive impactinthe world.

#LI-Remote

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If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!


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