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Ai First Fullstack Engineer Jobs in Georgia (NOW HIRING)

Why Join Exadel We're an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft ...

New

Software Engineer 1

Atlanta, GA · On-site

$55.50 - $75/hr

Experience with server frameworks such as Express, Spring MVC or Django Fullstack Engineering ... Awareness of AI concepts and a basic understanding of capabilities like Generative AI.

Why Join Exadel We're an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft ...

New

Why Join Exadel We're an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft ...

New

Experience with server frameworks such as Express, Spring MVC or Django Fullstack Engineering ... Awareness of AI concepts and a basic understanding of capabilities like Generative AI.

AI-first development practices -- prompt engineering, agent design, skill creation, and workflow automation * Professional communication -- written, verbal, and async collaboration in a client-facing ...

Showing results 41-60

Ai First Fullstack Engineer information

What is the difference between Ai First Fullstack Engineer vs Software Developer?

AspectAi First Fullstack EngineerSoftware Developer
Required CredentialsBachelor's in CS, AI/ML knowledge, coding skillsBachelor's in CS or related field, coding skills
Work EnvironmentTech companies, startups, AI-focused teamsVarious industries, tech firms, startups
Industry UsageAI-driven projects, product developmentSoftware applications, web development
Common Search/ComparisonYesYes

The Ai First Fullstack Engineer specializes in integrating AI and machine learning into fullstack development, often requiring knowledge of AI frameworks. Software Developers focus on building software applications across various domains. While both roles require strong coding skills, the Ai First Fullstack Engineer emphasizes AI integration, making it distinct in AI-centric environments.

What are popular job titles related to Ai First Fullstack Engineer jobs in Georgia? For Ai First Fullstack Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Ai First Fullstack Engineer jobs in Georgia look for? The top searched job categories for Ai First Fullstack Engineer jobs in Georgia are:
What cities in Georgia are hiring for Ai First Fullstack Engineer jobs? Cities in Georgia with the most Ai First Fullstack Engineer job openings:

AI Product Owner(Agentic AI)

KR Elixir, Inc.

Alpharetta, GA • On-site

Other

Posted 9 days ago


Job description

AI Product Owner (Agentic AI)

Location: Alpharetta, GA (Onsite)
Interview: F2F (In-person candidate who are local to GA)

Relocation: Yes
Position Open: 03
Mandatory: Agentic AI or Gen AI, Salesforce (Nice to have), AI Product Owner Exp

About the Role

We are looking for an experienced AI Product Owner to lead the vision, roadmap, and execution of an Agentic AI-powered platform that automates cloud migration, API modernization, and enterprise application transformation.

This role is cantered around building AI-native products using Agentic AI architectures, Large Language Models (LLMs), AI agents, and intelligent workflow orchestration. You will work closely with AI Engineers, Architects, Platform Engineers, and Product teams to build autonomous AI capabilities that improve engineering productivity and automate complex migration workflows.

The ideal candidate should have hands-on experience defining and delivering Agentic AI products and a strong understanding of enterprise cloud technologies, APIs, and modern AI frameworks.

Salesforce CRM Ecosystem: Sales Cloud, Service Cloud, Marketing Cloud, Data Cloud, Experience Cloud/PRM, Omni-Channel, Customer 360, CPQ, Lightning Platform, Flow, Prompt Builder, Apex/LWC-enabled solutions


Key Responsibilities

AI Product Leadership

  • Own the product vision, roadmap, and execution for an enterprise Agentic AI platform.
  • Define AI-first product capabilities that automate cloud migration, API modernization, code analysis, documentation generation, testing, and deployment workflows.
  • Drive the development of autonomous AI agents capable of reasoning, planning, tool usage, and multi-step task execution.
  • Define product requirements for AI copilots, autonomous agents, and intelligent workflow orchestration.

Salesforce CRM Ecosystem:

  • Sales Cloud, Service Cloud, Marketing Cloud, Data Cloud, Experience Cloud/PRM, Omni-Channel, Customer 360, CPQ, Lightning Platform, Flow, Prompt Builder, Apex/LWC-enabled solutions.

Product Ownership

  • Own the complete product lifecycle from discovery to launch and continuous enhancement.
  • Translate business problems into product features, epics, user stories, and acceptance criteria.
  • Prioritize the product backlog based on customer value, technical feasibility, and business priorities.
  • Define KPIs and success metrics for AI adoption, automation effectiveness, and productivity improvements.

Cross-functional Collaboration

  • Partner with AI Engineers, ML Engineers, Architects, Platform Engineers, and Cloud teams to deliver scalable AI solutions.
  • Collaborate with business stakeholders to identify high-impact automation opportunities.
  • Support product demonstrations, customer discussions, and solution positioning.

Innovation

  • Continuously evaluate emerging AI technologies, frameworks, and models.
  • Identify opportunities to integrate Agentic AI, LLMs, and AI orchestration into enterprise products.
  • Ensure responsible AI adoption, governance, and scalability.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
  • 5 10 years of Product Management or Product Ownership experience.
  • Hands-on experience delivering Agentic AI or Generative AI products is mandatory.
  • Experience defining AI product roadmaps and working closely with AI/ML engineering teams.
  • Strong understanding of LLMs and AI agent architectures.
  • Experience with enterprise APIs, cloud platforms, and distributed systems.
  • Experience managing Agile product backlogs and cross-functional engineering teams.