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Remote Ai Agent Developer Jobs in Georgia (NOW HIRING)

Insight Global

AI Engineer

Atlanta, GA · On-site +1

... agent workflows, and model evaluation. The work is hands-on and empirical: you run experiments ... You will work closely with the Senior AI Engineer and broader engineering team, taking increasing ...

Kobie Marketing

AI Engineer

Atlanta, GA · Remote

We're building an internal agent platform on Amazon AgentCore that automates analyst workflows ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

TriNet

Software Engineer

Dunwoody, GA · On-site +1

$89K - $168K/yr

AI agent development Additional Competencies * Strong understanding of coding best practices , UI ... remote hire at the company's discretion. The candidate's final salary offer will be based on the ...

TriNet

Software Engineer

Dunwoody, GA · On-site +1

$89K - $168K/yr

AI agent development Additional Competencies * Strong understanding of coding best practices , UI ... remote hire at the company's discretion. The candidate's final salary offer will be based on the ...

Promoted2

Remote Insurance Agent

Macon, GA · Remote

$60K - $110K/yr

Remote Insurance Sales Agent | $60k-$110k+ First Year | No Cold Calling Earn strong first-year ... We may use automated tools, including artificial intelligence (AI), to screen and assess candidates.

Promoted2

Remote Insurance Agent

Warner Robins, GA · Remote

$60K - $110K/yr

Remote Insurance Sales Agent | $60k-$110k+ First Year | No Cold Calling Earn strong first-year ... We may use automated tools, including artificial intelligence (AI), to screen and assess candidates.

Promoted2

Remote Insurance Agent

Augusta, GA · Remote

$60K - $110K/yr

Remote Insurance Sales Agent | $60k-$110k+ First Year | No Cold Calling Earn strong first-year ... We may use automated tools, including artificial intelligence (AI), to screen and assess candidates.

Promoted2

Remote Insurance Agent

Atlanta, GA · Remote

$60K - $110K/yr

Remote Insurance Sales Agent | $60k-$110k+ First Year | No Cold Calling Earn strong first-year ... We may use automated tools, including artificial intelligence (AI), to screen and assess candidates.

Promoted2

Remote Insurance Agent

Valdosta, GA · Remote

$60K - $110K/yr

Remote Insurance Sales Agent | $60k-$110k+ First Year | No Cold Calling Earn strong first-year ... We may use automated tools, including artificial intelligence (AI), to screen and assess candidates.

Promoted2

Remote Insurance Agent

Columbus, GA · Remote

$60K - $110K/yr

Remote Insurance Sales Agent | $60k-$110k+ First Year | No Cold Calling Earn strong first-year ... We may use automated tools, including artificial intelligence (AI), to screen and assess candidates.

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All JobsAi Agent Developer JobsRemote Ai Agent Developer JobsRemote Ai Agent Developer Jobs in Georgia

Remote Ai Agent Developer information

What is the difference between Remote Ai Agent Developer vs Remote Chatbot Developer?

AspectRemote Ai Agent DeveloperRemote Chatbot Developer
Required SkillsAI, machine learning, NLP, programmingChatbot platforms, scripting, UI design
Work EnvironmentAI development teams, tech companiesCustomer service, tech firms, startups
Industry UsageAI-driven virtual assistants, complex AI systemsCustomer support bots, simple conversational interfaces

Remote Ai Agent Developers focus on creating advanced AI-powered virtual assistants using machine learning and NLP, often working on complex AI systems. In contrast, Remote Chatbot Developers typically build conversational interfaces for customer support or marketing, emphasizing scripting and UI design. While both roles involve AI and programming, the scope and complexity differ, with Ai Agent Developers working on more sophisticated AI solutions.

What is a remote AI agent developer?

Remote AI Agent Developers are software professionals who design, build, and maintain artificial intelligence agents while working from a remote location. These developers use programming languages, machine learning frameworks, and AI technologies to create systems that can perform tasks autonomously or assist users. Their work may include developing chatbots, virtual assistants, recommendation engines, or other intelligent systems. Working remotely allows them to collaborate with teams and clients worldwide, often using cloud-based tools and platforms.

How much do remote AI agent developers make?

Remote AI agent developers typically earn between $80,000 and $150,000 annually, depending on experience, skills in machine learning and programming, and the complexity of projects. Senior roles or those with specialized expertise can earn higher salaries, especially when working for large organizations or tech companies.

What are some common challenges faced by remote AI agent developers, and how can they be addressed?

Remote AI Agent Developers often encounter challenges such as coordinating across different time zones, ensuring smooth communication with distributed teams, and managing project dependencies asynchronously. To address these, it's important to use collaborative tools (like Slack, GitHub, or Jira), schedule regular check-ins, and document development processes thoroughly. Building strong relationships through proactive communication and adopting agile practices can also help streamline workflows and maintain productivity in a remote setting.

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

To thrive as a Remote AI Agent Developer, you need a strong background in computer science, machine learning, and programming languages such as Python, along with experience in developing and deploying AI models. Proficiency with AI frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and familiarity with version control systems is typically required. Exceptional problem-solving skills, self-motivation, and effective remote communication help you collaborate and deliver results in distributed teams. These skills ensure the successful creation, deployment, and maintenance of intelligent agents that meet organizational goals in a remote work environment.
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 Remote Ai Agent Developer jobs in Georgia? For Remote Ai Agent Developer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Ai Agent Developer jobs in Georgia look for? The top searched job categories for Remote Ai Agent Developer jobs in Georgia are:
What cities in Georgia are hiring for Remote Ai Agent Developer jobs? Cities in Georgia with the most Remote Ai Agent Developer job openings:
Remote Ai Agent Developer jobs near you
Infographic showing various Remote 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.

AI Engineer

Insight Global

Atlanta, GA • On-site, Remote

Full-time

Re-posted 7 days ago

Job description

Overview

You will work across the AI layer of the platform — contributing to retrieval pipelines, agent workflows, and model evaluation. The work is hands-on and empirical: you run experiments, measure results, and iterate. You will work closely with the Senior AI Engineer and broader engineering team, taking increasing ownership as you develop depth across the platform's AI systems.


Responsibilities

• Contribute to the hybrid retrieval pipeline — implementing and tuning retrieval components, running experiments to improve quality, and validating results on real evaluations.
• Build and maintain components of the agent orchestration layer — tool integrations, prompt management, and supporting human-in-the-loop workflows.
• Instrument AI and agent systems for observability — tracing model and tool calls, capturing token and latency telemetry, and supporting failure analysis.
• Build and maintain evaluation datasets and test suites across retrieval and agent workflows, contributing to CI-level quality gates.
• Support document AI capabilities — working with parsing, extraction, and OCR pipelines as the platform serves new client engagements.
• Implement per-tenant isolation checks across retrieval and agent layers, helping ensure no cross-tenant data leakage occurs.
• Contribute to model behaviour evaluation — running prompt injection and adversarial tests as part of ongoing eval work.


Qualifications

Required qualifications
• 3+ years of software engineering experience, with at least 1 year building LLM-powered systems — RAG pipelines, agent workflows, or fine-tuning — in a production or nearproduction setting.
• Practical experience in at least one of: retrieval-augmented generation (RAG) and reranking; agent orchestration with LangGraph or comparable; or LLM fine-tuning.
• Proficient in Python and comfortable working with async code, data pipelines, and REST APIs.
• Exposure to evaluation methodology for LLM systems — has contributed to or authored an eval dataset or test suite.
• Familiarity with agent or LLM observability tooling — tracing, logging, or monitoring of model and tool calls.
• Working knowledge of modern LLM and information-retrieval concepts; can discuss trade-offs between approaches with evidence.

Preferred qualifications
• Experience with knowledge graphs or property-graph query languages.
• Exposure to document AI — PDF parsing, table extraction, or OCR pipelines.
• Has contributed to or built an evaluation dataset and labeling workflow.
• Familiarity with prompt-injection risks and mitigation strategies in agent and retrieval pipelines.
• Open-source contributions to LangGraph, sentence-transformers, or comparable projects.

Qualifications:

Required qualifications
• 3+ years of software engineering experience, with at least 1 year building LLM-powered systems — RAG pipelines, agent workflows, or fine-tuning — in a production or nearproduction setting.
• Practical experience in at least one of: retrieval-augmented generation (RAG) and reranking; agent orchestration with LangGraph or comparable; or LLM fine-tuning.
• Proficient in Python and comfortable working with async code, data pipelines, and REST APIs.
• Exposure to evaluation methodology for LLM systems — has contributed to or authored an eval dataset or test suite.
• Familiarity with agent or LLM observability tooling — tracing, logging, or monitoring of model and tool calls.
• Working knowledge of modern LLM and information-retrieval concepts; can discuss trade-offs between approaches with evidence.

Preferred qualifications
• Experience with knowledge graphs or property-graph query languages.
• Exposure to document AI — PDF parsing, table extraction, or OCR pipelines.
• Has contributed to or built an evaluation dataset and labeling workflow.
• Familiarity with prompt-injection risks and mitigation strategies in agent and retrieval pipelines.
• Open-source contributions to LangGraph, sentence-transformers, or comparable projects.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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