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Full Time Ai Agent Developer Jobs (NOW HIRING)

We are seeking an AI Agent Engineer to design, build, and operationalize AI-powered agents that enhance employee productivity and decision-making in a complex enterprise environment. The ideal ...

We are looking for an experienced AI Agent Engineer with strong expertise in building and deploying agentic and LLM-powered systems. The ideal candidate will have hands-on experience across AI ...

Senior Forward Deployed Engineer (AI Agent)

$107K - $146K/yr

Experience: 3+ years of full-time working experience in software development/Consulting, AI/ML ... Cloud & DevOps: Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD ...

The AI Agent Engineer role involves building, configuring, testing, and deploying AI voice agents for healthcare customers, ensuring reliable performance and seamless integration with data systems.

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 ...

Senior AI Agent Engineer

Niskayuna, NY · On-site

$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 ...

Senior AI Agent Engineer

Cambridge, MA · On-site

$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 ...

AI Agent Engineer

Alpharetta, GA

$77K - $103K/yr

The AI Agent Engineer plays a critical role in ensuring AI agents run safely, reliably, and effectively within enterprise environments. This position supports the operational design, execution, and ...

AI Agent Engineer

Alpharetta, GA · On-site

$77K - $103K/yr

The AI Agent Engineer plays a critical role in ensuring AI agents run safely, reliably, and effectively within enterprise environments. This position supports the operational design, execution, and ...

AI Agent Engineer

Alpharetta, GA · On-site

$77K - $103K/yr

The AI Agent Engineer plays a critical role in ensuring AI agents run safely, reliably, and effectively within enterprise environments. This position supports the operational design, execution, and ...

AI Agent Engineer

Alpharetta, GA · On-site

$77K - $103K/yr

The AI Agent Engineer plays a critical role in ensuring AI agents run safely, reliably, and effectively within enterprise environments. This position supports the operational design, execution, and ...

AI Agent Engineer

Alpharetta, GA · On-site

$77K - $103K/yr

The AI Agent Engineer plays a critical role in ensuring AI agents run safely, reliably, and effectively within enterprise environments. This position supports the operational design, execution, and ...

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Full Time Ai Agent Developer information

See salary details

$29K

$47.9K

$99.5K

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

As of Jul 10, 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 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 are the key skills and qualifications needed to thrive as a Full Time AI Agent Developer, and why are they important?

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 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.

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.
More about Full Time Ai Agent Developer jobs
What cities are hiring for Full Time Ai Agent Developer jobs? Cities with the most Full Time Ai Agent Developer job openings:
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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:
AI Agent Engineer

AI Agent Engineer

General Motors

Austin, TX • On-site, Remote

Full-time

Re-posted 27 days ago


General Motors rating

8.0

Company rating: 8.0 out of 10

Based on 308 frontline employees who took The Breakroom Quiz

6th of 44 rated automakers


Job description

Job Description

The Role:

We are seeking an AI Agent Engineer to design, build, and operationalize AI-powered agents that enhance employee productivity and decision-making in a complex enterprise environment. The ideal candidate combines strong AI/ML foundations, hands-on experience with agent frameworks, and a pragmatic approach to delivering business value in partnership with cross-functional teams.

Experience with Glean (or similar enterprise AI search/assistant platforms) is a strong plus.

What You'll Do:

  • Design and develop AI agents

    • Engineer and implement AI agents and workflows that automate and augment knowledge work.

    • Translate business requirements into robust agent designs, including tool orchestration, routing logic, and guardrails.

    • Prototype quickly, then harden solutions for reliability, scalability, and maintainability.

  • AI/ML and platform integration

    • Leverage LLMs and related AI services (e.g., retrieval-augmented generation, embeddings, vector search) to power agent capabilities.

    • Integrate agents with enterprise systems, APIs, and data sources (e.g., collaboration tools, knowledge repositories, ticketing systems).

    • Partner with platform teams (e.g., Glean, M365, internal APIs) to ensure secure and compliant integrations.

  • Agent lifecycle management

    • Define and implement monitoring, logging, and feedback loops to continuously improve agent performance.

    • Establish and maintain evaluation frameworks, metrics, and test harnesses for AI agent behavior and output quality.

    • Document agent architectures, decision logic, and dependencies for support and future enhancements.

  • Collaboration and ways of working

    • Collaborate closely with engineers, architects, data teams, and business SMEs in a highly matrixed, global environment.

    • Contribute to shared patterns, reusable components, and best practices for AI agent development.

    • Champion responsible AI, including security, privacy, compliance, and user trust considerations.

Your Skills & Abilities (Required Qualifications):

  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field; or equivalent practical experience.

  • 3-7+ years of professional software engineering or AI/ML engineering experience in complex, enterprise environments.

  • Strong proficiency in at least one modern programming language (e.g., Python, TypeScript/JavaScript, Java).

  • Hands-on experience with LLM-based applications, AI frameworks, or agent tooling (e.g., LangChain, Semantic Kernel, custom orchestration frameworks).

  • Solid understanding of Prompt engineering and retrieval-augmented generation (RAG), RESTful APIs and integration patterns, and Data structures, algorithms, and basic ML/LLM concepts.

  • Experience building production services (microservices or serverless) with appropriate observability and testing.

What Will Give You A Competitive Edge (Preferred Qualifications):

  • Experience with Glean or similar enterprise AI search/assistant platforms (e.g., integrating sources, configuring tools, designing agents or workflows within the platform).

  • Experience with Microsoft 365 and AI assistants (e.g., Copilot) or other enterprise collaboration ecosystems.

  • Familiarity with Enterprise identity and access management concepts (e.g., RBAC, least privilege), Observability and telemetry for AI systems (e.g., logging, tracing, quality dashboards), and experimentation and A/B testing for AI features.

  • Background in user-centric design or close collaboration with UX teams for AI experiences.

#LI-SB3

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


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Benefits

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Workplace

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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908