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Ai Agent Developer Jobs in Georgia (NOW HIRING)

Daimler

AI/ML Platform Engineer

Atlanta, GA · On-site

As the platform foundation of the Applied AI Engineering & Operations team, this role supports classical machine learning, generative AI, agent-based solutions, and enterprise-scale analytics ...

Tata Consultancy Service Limited

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 ...

Insight Global

Back End Developer

Atlanta, GA · On-site

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 ...

Tata Consultancy Service Limited

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 ...

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Ai Agent Developer information

See Georgia salary details

$24.5K

$40.5K

$84K

How much do ai agent developer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai agent developer in Georgia is $40,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,700.00 and $43,100.00 per year, depending on experience, location, and employer.

Is an AI agent developer a good career?

An AI agent developer is a promising career with high demand due to the growth of artificial intelligence applications. It typically requires skills in programming, machine learning, and data analysis, and offers opportunities in various industries such as technology, healthcare, and finance. The field often provides competitive salaries and continuous learning opportunities as AI technology evolves.

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.
What are the most commonly searched types of Ai Agent Developer jobs in Georgia? The most popular types of Ai Agent Developer jobs in Georgia are:
What are popular job titles related to Ai Agent Developer jobs in Georgia? For Ai Agent Developer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Ai Agent Developer jobs in Georgia look for? The top searched job categories for Ai Agent Developer jobs in Georgia are:
What cities in Georgia are hiring for Ai Agent Developer jobs? Cities in Georgia with the most Ai Agent Developer job openings:
Ai Agent Developer jobs near you
Infographic showing various Ai Agent Developer job openings in Georgia as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $40,472 per year, or $19.5 per hour.

AI Engineer

Tata Consultancy Service Limited

Johns Creek, GA • On-site

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

Must Have Technical/Functional Skills
  • Hands-On Development & POCs
  • Python technology + Additional backend knowledge
  • Hands on GCP experience (Vertex AI preferred)
  • Implemented access control mechanism, trusted AI solutions
  • Strong SQL (Big Query preferred)
  • Experienced API building
  • Hands-on Experience ADK framework or similar agent framework
  • Hands-on Experience AI/LLM application or chatbots
  • Domain knowledge Supply chain / transportation domain experience (e.g., logistics, TMS, routing, shipment visibility)
  • Able to build rapid POCs demonstrating:
    • Multi-agent collaboration
    • RAG/Vector databases
    • Autonomous task execution
    • IAM/Secure service integration
    • Agents interacting with clients APIs, data platforms, and operational systems
    • MCP-based tool integrations for internal systems
  • Develop reference implementations using:
    • Vertex AI Agent Builder
    • Agent Studio / AI Studio or rapid prototyping tools
    • Enterprise copilots or operational AI assistants
    • Gemini models
    • GPT-based agents
    • GCP AI Agentic capabilities (If not, Azure AI Agentic capabilities is fine)
    • Create debugging, observability, and evaluation frameworks for agent behavior.

Roles & Responsibilities
Agentic AI Engineer
  • Develop AI agents/chatbots with tool integration (APIs, databases, services)
  • Build using ADK (Python required; Java or similar preferred)
  • Create multi-step agent workflows (reasoning, orchestration, context handling)
  • Rapidly prototype using Agent Studio / AI Studio (or equivalent)
  • Convert POCs to production services on GCP (Cloud Run / GKE)
  • Integrate with Vertex AI, BigQuery, enterprise systems
  • Implement guardrails, access controls, and monitoring
  • Optimize latency, cost, and reliability

TCS Employee Benefits Summary:
  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Auto & Home Insurance, Identity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

#LI-KR3
Salary Range-$120,000-$140,000 a year

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