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Ai Backend Developer Jobs in Georgia (NOW HIRING)

Insight Global

Full Stack Developer

Atlanta, GA

Strong backend engineering skills in Python and Node. * Experience integrating with APIs, async systems, and event-driven architectures. * Exposure to LLM-powered systems, agent frameworks, or AI ...

YO AI Labs

Backend Engineer - Remote

Atlanta, GA · Remote

$80 - $120/hr

No prior AI experience is required. Key Responsibilities * Create reinforcement learning environments for software engineering tasks. * Design tasks involving bug fixing, feature development ...

Sapsol Technologies Inc

Tech Lead (AI)

Alpharetta, GA · On-site

This role will contribute to modernizing advisor-facing experiences by embedding AI-enabled ... The ideal candidate combines strong backend engineering skills with the ability to work closely ...

Omnissa

Software Engineer, Backend

Atlanta, GA · On-site +1

$120K - $201K/yr

Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-fro ... Strong DevOps experience, including building and maintaining CI/CD pipelines. * Collaboration ...

Sapsol Technologies Inc

Tech Lead (AI)

Alpharetta, GA · On-site

This role will contribute to modernizing advisor-facing experiences by embedding AI-enabled ... The ideal candidate combines strong backend engineering skills with the ability to work closely ...

ImagineX Consulting

Senior GoLang Developer

Atlanta, GA · On-site +1

$53.50 - $70.75/hr

... and AI across the U.S. and LATAM, bridging the gap between boutique agility and enterprise scale. We are seeking a Senior GoLang Developer to lead the development of scalable, resilient backend ...

Invesco

Engineer., SIP

Atlanta, GA · Hybrid

Foundational proficiency in Python (for AI/Backend) and TypeScript/React (for Frontend). * AI ... Cloud & DevOps Foundations: Familiarity with containerized environments (Docker), Git version ...

Invesco

Engineer., SIP

Atlanta, GA · On-site

Foundational proficiency in Python (for AI/Backend) and TypeScript/React (for Frontend). * AI ... Cloud & DevOps Foundations: Familiarity with containerized environments (Docker), Git version ...

Exadel

Develop backend services and APIs in Python, Java Script (Node) and/or related technologies * Build user-facing tools and dashboards using React * Integrate LLMs and external services into business ...

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Ai Backend Developer information

What is an AI backend developer?

AI Backend Developers are software engineers who specialize in building and maintaining the server-side infrastructure that powers artificial intelligence applications. They design APIs, manage databases, and implement algorithms that support machine learning models and AI-driven features. Their work ensures that AI systems are scalable, efficient, and securely integrated with other services. AI Backend Developers often work closely with data scientists and frontend developers to deliver end-to-end AI solutions.

What skills and qualifications are needed to be an AI backend developer?

To thrive as an AI Backend Developer, you need strong programming skills (especially in Python or Java), a solid grasp of machine learning concepts, and experience with backend frameworks, supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or Azure), containerization tools (such as Docker), and frameworks like TensorFlow or PyTorch is typically required, along with knowledge of RESTful APIs and databases. Problem-solving abilities, teamwork, and clear communication are essential soft skills that help navigate complex projects and collaborate with cross-functional teams. These technical and interpersonal skills ensure robust, scalable AI solutions are developed and maintained efficiently in a rapidly evolving field.

How does an AI backend developer interact with data scientists and frontend teams?

As an AI Backend Developer, you will frequently collaborate with data scientists to integrate machine learning models into scalable backend systems. This involves translating prototypes into production-ready APIs, ensuring data pipelines are robust, and optimizing inference performance. You’ll also work closely with frontend teams to define API contracts and ensure that data flows smoothly between the user interface and backend processes. Effective communication and teamwork are essential, as these collaborations help deliver seamless AI-powered features to end users.

What is the difference between Ai Backend Developer vs Data Engineer?

AspectAi Backend DeveloperData Engineer
Required CredentialsBachelor's in CS, AI, or related fields; knowledge of AI frameworksBachelor's in CS, Data Science, or related fields; expertise in data pipelines
Work EnvironmentDeveloping AI models, integrating AI into backend systemsBuilding and maintaining data infrastructure and pipelines
Employer & Industry UsageTech companies, AI startups, enterprises integrating AIData-driven companies, finance, healthcare, tech firms

While both roles require strong programming skills and familiarity with data processing, Ai Backend Developers focus on integrating AI models into backend systems, whereas Data Engineers specialize in building data pipelines and infrastructure. Both roles are essential in AI-driven projects but serve different functions within the data ecosystem.

What are popular job titles related to Ai Backend Developer jobs in Georgia?

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What job categories do people searching Ai Backend Developer jobs in Georgia look for?

The top searched job categories for Ai Backend Developer jobs in Georgia are:

What cities in Georgia are hiring for Ai Backend Developer jobs?

Cities in Georgia with the most Ai Backend Developer job openings:

Ai Backend Developer jobs near you
Infographic showing various Ai Backend Developer job openings in Georgia as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution.

Full Stack Developer

Insight Global

Atlanta, GA

Full-time

Re-posted 28 days ago

Job description

Overview

Evergreen.AI is building enterprise-grade, end-to-end agentic AI solutions and frameworks that transform how organizations operate. As a Full Stack AI Systems Software Development Engineer, you will design and build production-grade applications that operationalize Evergreen.AI systems inside real enterprise workflows. This role focuses on creating the application layer where AI systems are observed, controlled, evaluated, and trusted by enterprise users. Your work determines whether AI systems aßre usable, governable, and scalable-not just functional.


Responsibilities
  • Application Architecture for AI Systems: Design and build full stack applications that sit on top of Evergreen.AI agents; develop APIs, services, and UI components that expose AI system behavior, state, and decisions; handle nondeterministic outputs through UX patterns such as review queues, confidence indicators, provenance views, and audit logs; design systems that support human-in-the-loop workflows without slowing delivery velocity.
  • Frontend Engineering for Trust and Control: Build enterprise-grade UIs using modern frameworks (React, Next.js, or equivalent); design interfaces that allow users to inspect, approve, correct, and override AI outputs; implement role-based access control, auditability, and compliance-friendly UX; optimize for clarity, reliability, and debuggability over visual polish.
  • Backend and Integration Engineering: Build backend services in Python or Node that orchestrate agent interactions; integrate with LLM APIs, vector databases, evaluation services, and enterprise systems; implement asynchronous workflows, event-driven processing, and state management; design APIs that remain stable under evolving AI behavior.
  • Observability, Quality, and Feedback Loops: Implement logging, tracing, and monitoring across the full stack; surface evaluation metrics, failure modes, and drift signals in the product UI; enable feedback collection from users to improve system behavior over time; partner with Forward Deployed Engineers to close the loop between usage and improvement.
  • Security and Enterprise Readiness: Implement authentication, authorization, and secure data handling; ensure applications meet enterprise security and compliance requirements; design for multi-tenant and single-tenant deployments where required.

Qualifications
  • 5+ years building production-grade full stack applications.
  • Strong experience with modern front-end frameworks (React, Next.js) and component-driven development.
  • Strong backend engineering skills in Python and Node.
  • Experience integrating with APIs, async systems, and event-driven architectures.
  • Exposure to LLM-powered systems, agent frameworks, or AI-driven applications.
  • Ability to design systems under uncertainty and evolving requirements.
  • Strong instincts around maintainability, debuggability, and failure handling.
  • Excellent collaboration and communication skills; ability to work closely with FDEs, platform engineers, and customers.
Qualifications:
  • 5+ years building production-grade full stack applications.
  • Strong experience with modern front-end frameworks (React, Next.js) and component-driven development.
  • Strong backend engineering skills in Python and Node.
  • Experience integrating with APIs, async systems, and event-driven architectures.
  • Exposure to LLM-powered systems, agent frameworks, or AI-driven applications.
  • Ability to design systems under uncertainty and evolving requirements.
  • Strong instincts around maintainability, debuggability, and failure handling.
  • Excellent collaboration and communication skills; ability to work closely with FDEs, platform engineers, and customers.
Education:UNAVAILABLEEmployment Type: FULL_TIME

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