1

Ai Agent Developer Jobs in Atlanta, GA (NOW HIRING)

KPMG is currently seeking a Manager, SAP AI & Agent Governance to join our Advisory Technology ... Bachelor'sdegree in business, information systems, engineering, technology, or relatedfield ...

AI Architect

Atlanta, GA · On-site

$120K - $150K/yr

Multi-agent collaboration * Autonomous task execution * Agents interacting with clients APIs, data ... Mentor engineers on agentic patterns, tool integration, and modern AI development. TCS Employee ...

As a Back-end Developer - AI Agent Foundry - Automation Team you will develop and deploy microservices, REST APIs to support the Agent Foundry Data Platform. At Evergreen, we value creativity ...

The Principal AI Engineer is responsible for driving AI adoption and innovation across Corporate ... AI-assisted agent experiences * Knowledge retrieval systems * Intelligent intake and triage ...

The Principal AI Engineer is responsible for driving AI adoption and innovation across Corporate ... AI-assisted agent experiences * Knowledge retrieval systems * Intelligent intake and triage ...

The Principal AI Engineer is responsible for driving AI adoption and innovation across Corporate ... AI-assisted agent experiences * Knowledge retrieval systems * Intelligent intake and triage ...

The Principal AI Engineer is responsible for driving AI adoption and innovation across Corporate ... AI-assisted agent experiences * Knowledge retrieval systems * Intelligent intake and triage ...

Showing results 21-40

Ai Agent Developer information

See Atlanta, GA salary details

$27.9K

$46.1K

$95.7K

How much do ai agent developer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for ai agent developer in Atlanta, GA is $46,093.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,700.00 and $49,000.00 per year, depending on experience, location, and employer.

What is an AI agent developer?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI agent developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

What are the key skills and qualifications needed to thrive in the AI agent developer position, and why are they important?

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

How to become an AI agent developer?

To become an AI agent developer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of AI concepts such as natural language processing and reinforcement learning. Gaining relevant education through degrees or online courses and building a portfolio of AI projects can also enhance your qualifications.

Is an AI Agent Developer a good career?

An AI Agent Developer is a promising career path in the technology industry, focusing on creating intelligent systems that can perform tasks autonomously. It typically requires skills in programming, machine learning, and AI frameworks, with strong job growth prospects due to increasing demand for automation and AI solutions. The role offers opportunities for innovation and specialization in emerging technologies.

What are the most commonly searched types of Ai Agent Developer jobs in Atlanta, GA?

The most popular types of Ai Agent Developer jobs in Atlanta, GA are:

What are popular job titles related to Ai Agent Developer jobs in Atlanta, GA?

For Ai Agent Developer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Ai Agent Developer jobs in Atlanta, GA look for?

The top searched job categories for Ai Agent Developer jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Ai Agent Developer jobs?

Cities near Atlanta, GA with the most Ai Agent Developer job openings:

Infographic showing various Ai Agent Developer job openings in Atlanta, GA as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $46,093 per year, or $22.2 per hour.

AI Agent Evaluation Engineer - Remote

YO AI Labs

Atlanta, GA • Remote

$80 - $120/hr

Full-time

Posted 9 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.