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Ai Agent Engineer Jobs in Georgia (NOW HIRING)

Bigcommerce

Senior Backend Engineer (AI Agent)

Atlanta, GA · On-site +1

$116K - $195K/yr

As a Senior Backend Engineer specializing in AI agents, you will design the agents themselves: orchestration, sub-agent architecture, tool integration, prompt engineering, and - critically - the ...

Tata Consultancy Service Limited

AI Engineer

Atlanta, GA · On-site

$120K - $140K/yr

Multi-agent collaboration * RAG/Vector databases * Autonomous task execution * IAM/Secure service integration * Agents interacting with clients APIs, data platforms, and operational systems * MCP ...

Digital Insight

Principal AI Engineer

Atlanta, GA · Remote

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 ...

BECPOS

Principal AI Engineer

Atlanta, GA · Remote

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 ...

NCR Corporation

Principal AI Engineer

Atlanta, GA · On-site

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 ...

NCR

Principal AI Engineer

Atlanta, GA · Remote

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 ...

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How much do ai agent engineer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for ai agent engineer in Georgia is $45.29, according to ZipRecruiter salary data. Most workers in this role earn between $36.54 and $52.55 per hour, depending on experience, location, and employer.

What is an AI Agent engineer?

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 the key skills and qualifications needed to thrive as an AI Agent engineer?

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.

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 most commonly searched types of Ai Agent Engineer jobs in Georgia?

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For Ai Agent Engineer jobs in Georgia, the most frequently searched job titles are:

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Ai Agent Engineer jobs near you
Infographic showing various Ai Agent Engineer job openings in Georgia as of August 2026, with employment types broken down into 71% Full Time, 19% Part Time, 7% Contract, and 3% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $94,193 per year, or $45.3 per hour.

Founding AI Agent Engineer

Atlanta, GA • On-site

Allus AI (YC F25)
See more jobs at Allus AI (YC F25)external

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Allus AI is building the next generation of vision intelligence systems, creating an AI-native platform for real-world vision workflows. They are seeking a Founding Engineer to develop core software systems that power the platform, focusing on agentic workflows and AI-native user experiences.
Responsibilities:
• Own the architecture and development of core AI-native software systems across the platform
• Build agentic workflows that turn user requirements and example inputs into structured, multi-step product workflows
• Design systems for orchestration, tool use, task planning, state management, and workflow reliability
• Build software that supports data intake, review loops, human feedback, and iterative task refinement
• Develop infrastructure for prompt orchestration, memory, retrieval, and contextual personalization
• Build internal tools and user-facing product features powered by LLMs and agents
• Design evaluation and monitoring systems for workflow quality, reliability, latency, and production readiness
• Improve developer velocity through strong abstractions, automation, and AI-native tooling
• Rapidly prototype and ship new AI-driven product capabilities
Qualifications:
Required:
• 5+ years of experience building production software systems
• Strong backend engineering skills, including APIs, data pipelines, and system design
• Experience building and shipping LLM-powered applications or agentic product workflows
• Strong understanding of prompt design, tool use, retrieval, orchestration, and evaluation techniques
• Ability to move quickly from prototype to production
• Strong product intuition and desire to build user-facing AI experiences
• Comfort working across multiple parts of the stack with high ownership
• Full-stack software development
• Agent orchestration systems and multi-step workflow design
• RAG systems, embeddings pipelines, or retrieval architectures
• Human-in-the-loop systems and review workflows
• Evaluation systems, observability, and production monitoring
• Internal platforms, developer tooling, and automation systems
• Strong candidates should already be comfortable using tools such as Cursor, Claude Code, modern AI coding assistants, and LLM-based and agent-based development workflows
• Technologies we use: Python, Rust, SQL, TypeScript, React, Node.js, FastAPI, LangChain, Docker, Redis, AWS, GCP
Company:
Allus is a company that offers specialized AI vision-based services tailored to industrial manufacturing corporations worldwide that excel in optimizing processes and boosting productivity. Founded in 2025, the company is headquartered in Atlanta, USA, with a team of 2-10 employees. The company is currently Early Stage.

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