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Remote Ai Agent Developer Jobs in Georgia (NOW HIRING)

United Airlines

Teamcenter Agentic Engineer

Atlanta, GA · On-site +1

$46K - $111K/yr

Remote (Anywhere across USA) About the job you're considering As an Agentic Engineer, you will be ... Creating and maintaining documentation for AI agent architectures and implementations

Worth AI

Senior Agentic (AI) Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

Architect agent graphs in LangGraph (or comparable - CrewAI, AutoGen, Claude Agent SDK) with ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Third Eye Software

Senior AI Software Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

... developer productivity, workflow automation, and large enterprise-scale software delivery ... This is a W2 contract role with mostly remote work and occasional in-office collaboration.

Siemens Healthineers

AI LLM Engineer

Atlanta, GA · On-site +1

... agent based automation frameworks, to transform how the Analytics & Reporting team delivers ... This role is designed to be onsite in Atlanta, Georgia with some remote/hybrid flexibility* What ...

Third Eye Software

Senior AI Software Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

... developer productivity, workflow automation, and large enterprise-scale software delivery ... This is a W2 contract role with mostly remote work and occasional in-office collaboration.

Third Eye Software

Senior AI Software Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

... developer productivity, workflow automation, and large enterprise-scale software delivery ... This is a W2 contract role with mostly remote work and occasional in-office collaboration.

Zenefits

Software Engineer

Atlanta, GA · On-site +1

$89K - $179K/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 ...

TriNet

Software Engineer

Atlanta, 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 ...

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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 are Remote AI Agent Developers?

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.

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, and why are they important?

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 June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution.

Enterprise AI Engineer (GCP)

INFT Solutions Inc

Atlanta, GA • On-site, Remote

Contractor

Posted 12 days ago

Job description

Job Description: Enterprise AI Engineer (GCP)
Location: Remote / Hybrid Focus: Agentic AI, Data Intelligence, and Enterprise Scale
Role Overview
We are looking for a Principal Enterprise AI Engineer to architect and deliver high-impact AI
solutions within the Google Cloud ecosystem. This role is designed for a technical leader who
can bridge the gap between complex data landscapes and autonomous AI systems. You will lead
the development of Agentic AI frameworks and Data Intelligence platforms that drive
significant digital transformation for global enterprise clients.
Core Responsibilities
 Architect Agentic Systems: Design and deploy multi-agent orchestration frameworks
using Vertex AI Agent Builder, LangGraph, or CrewAI to automate complex, multi-step
business workflows.
 Master RAG Architectures: Build and optimize high-performance Retrieval-
Augmented Generation (RAG) systems, ensuring LLMs are grounded in enterprise data
across BigQuery and Databricks.
 Model Strategy & Optimization: Select and fine-tune models within the Gemini 1.5
family, balancing high-reasoning capabilities (Pro) with high-speed efficiency (Flash) for
production-grade latency.
 Legacy Transformation: Lead the strategic migration of legacy analytics logic (e.g.,
SAS environments) into modern, AI-powered cloud architectures.
 GTM Collaboration: Work closely with Go-To-Market (GTM) leadership to translate
technical AI roadmaps into measurable business value for C-suite stakeholders.
Required Skill Requirements
1. Agentic AI & Orchestration
 Framework Mastery: Expert implementation of LangChain, LangGraph, or
LlamaIndex for stateful, autonomous agent development.
 Advanced Prompting: Proficiency in Chain-of-Thought (CoT), ReAct patterns, and
system instruction optimization to ensure reliable model output.
 Function Calling: Experience building custom tools that allow LLMs to interact
securely with enterprise APIs and SQL databases.
2. Data Intelligence & Engineering
 Hybrid Data Ecosystems: Deep experience integrating Google Cloud AI services with
Databricks (Delta Lake) for unified data intelligence.
 Vector Engineering: Proficiency with Vertex AI Vector Search (formerly Matching
Engine) and embedding strategies for large-scale semantic search.
 Data Flow: Skill in building scalable pipelines using Dataflow or Spark to process
unstructured data for AI readiness.
3. LLMOps & Production Engineering
 Evaluation Frameworks: Ability to build automated "LLM-as-a-judge" evaluation
pipelines to track accuracy, faithfulness, and hallucination rates.
 Cloud Infrastructure: Mastery of the Vertex AI suite (Studio, Model Garden, Pipelines)
and Infrastructure as Code (Terraform).
 Programming: Expert-level Python (FastAPI, Pydantic) and advanced SQL.
4. Strategic Governance
 Responsible AI: Implementation of safety filters, PII redaction, and ethical AI
monitoring.
 Business Translation: Ability to convert technical metrics (latency, token costs) into
business KPIs (ROI, process efficiency).
Qualifications
 Experience: 8+ years in Software Engineering or Data Science, with at least 3+ years
focused on production-grade AI/ML.
 Education: B.S./M.S. in Computer Science, AI, or a related quantitative field.
 Certifications: Google Professional Machine Learning Engineer or Professional Cloud
Architect (preferred).
Technology Stack
 AI/ML: Vertex AI, Gemini 1.5 Pro/Flash, PyTorch.
 Data: BigQuery, Databricks, Vertex Vector Search.
 Orchestration: LangGraph, Vertex AI Agent Builder.
 DevOps: GitHub Actions, Terraform, Vertex AI Pipelines.