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Executive Ai Software Engineer Jobs in Georgia (NOW HIRING)

We are seeking a Senior AI Software Engineer to help build internal AI agents and AI-enabled engineering tools focused on developer productivity, workflow automation, and large enterprise-scale ...

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... executives with an owner's mentality. We help businesses develop their "Human Capital" to get to ... Leverage AI-powered development tools and automation technologies to improve productivity, code ...

... executives with an owners mentality. We help businesses develop their Human Capital to get to the ... Leverage AI-powered development tools and automation technologies to improve productivity, code ...

AI-Native Software Engineer

Atlanta, GA · On-site

$112K - $176K/yr

AI-Native Software Engineer AI-Native Software Engineer PLEASE NOTE: This position is not eligible for current or future visa sponsorship Location : This role requires associates to be in-office 3 ...

AI-Native Software Engineer AI-Native Software Engineer PLEASE NOTE: This position is not eligible for current or future visa sponsorship Location : This role requires associates to be in-office 3 ...

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Executive Ai Software Engineer information

What is the difference between Executive Ai Software Engineer vs Ai Software Engineer?

AspectExecutive Ai Software EngineerAi Software Engineer
Required CredentialsBachelor's or Master's in Computer Science, AI, or related field; experience in leadership rolesBachelor's or Master's in Computer Science, AI, or related field; focus on technical skills
Work EnvironmentStrategic planning, cross-department collaboration, leadership responsibilitiesHands-on coding, algorithm development, model training
Employer & Industry UsageTech companies, AI startups, enterprise AI divisionsTech firms, startups, research labs

The main difference between an Executive Ai Software Engineer and an Ai Software Engineer lies in their responsibilities and focus. The Executive role emphasizes leadership, strategic planning, and cross-functional collaboration, while the Ai Software Engineer concentrates on technical development and implementation. Both roles require strong AI and software engineering skills, but the executive position involves higher-level decision-making and team management.

What are the most commonly searched types of Ai Software Engineer jobs in Georgia? The most popular types of Ai Software Engineer jobs in Georgia are:
What are popular job titles related to Executive Ai Software Engineer jobs in Georgia? For Executive Ai Software Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Executive Ai Software Engineer jobs in Georgia look for? The top searched job categories for Executive Ai Software Engineer jobs in Georgia are:
Infographic showing various Executive Ai Software Engineer job openings in Georgia as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Senior AI Software Engineer

Third Eye Software

Atlanta, GA • On-site

$100 - $140/hr

Other

Medical, Dental, Vision, Retirement

Posted 2 days ago

New


Job description

We are seeking a Senior AI Software Engineer to help build internal AI agents and AI-enabled engineering tools focused on 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. Candidates should be Metro Atlanta-based. No sponsorship available. No third-party recruiters.

Role Focus

This is a greenfield initiative that needs a strong problem solver first - someone who can work through ambiguity, anticipate issues, and turn early ideas into practical, scalable engineering solutions.

The ideal candidate has a strong traditional software engineering foundation, clear communication skills, mentoring ability, and hands‑on experience with modern AI‑enabled development. Initial work will focus heavily on building internal agents and agent‑oriented workflows, with broader enterprise context and AI enablement work evolving over time.

This person should understand the full SDLC, enterprise software delivery, CI/CD, and how to build AI capabilities that can move beyond prototype into real use.

Responsibilities
  • Build internal AI agents, agent-oriented workflows, and AI-enabled engineering tools
  • Solve ambiguous technical problems and help determine practical paths forward
  • Design integrations across systems such as Jira, documentation platforms, repositories, APIs, and internal tooling
  • Improve engineering workflows, developer productivity, and SDLC automation
  • Build scalable backend services, APIs, and supporting platform components
  • Anticipate technical and operational challenges as solutions scale across engineering teamsCommunicate clearly with engineering, product, and platform stakeholders to move ideas from concept into production-ready solutions
  • Provide technical guidance, mentoring, and knowledge sharing as the team builds new AI-enabled capabilities
  • Support practical patterns around observability, reliability, testing, CI/CD, and operational support for AI-enabled systems
Qualifications
  • Must be able to work on a W2 basis without sponsorship
  • Metro Atlanta-based
  • Strong problem‑solving skills and ability to work through ambiguous or evolving requirements
  • Strong software engineering background with distributed systems and microservices experience
  • Hands‑on experience with Python and modern AI development tools such as Claude, Copilot, Cursor, or similar LLM‑enabled engineering tools
  • Hands‑on experience building AI‑enabled workflows, agents, orchestration patterns, enterprise AI integrations, and context‑aware AI solutions.
  • Strong understanding of SDLC, CI/CD, production operations, and enterprise software delivery
  • Clear communication skills and ability to collaborate across technical and non‑technical teams
  • Experience mentoring or guiding other engineers through design, implementation, or delivery decisions
  • Experience with APIs, cloud platforms, data pipelines, and modern engineering tooling
Preferred
  • Experience with RAG, vector databases, embeddings, or context management patterns
  • Experience with developer tooling or SDLC automation
  • Experience with Kubernetes, cloud‑native platforms, or infrastructure automation
  • Experience supporting enterprise‑scale engineering organizations
Benefits
  • Comprehensive medical / dental / vision insurance options (50% employer‑paid premiums)
  • 401K option (after 1 year of employment)
  • Profit sharing
  • Professional development and training opportunities
  • Employer‑provided equipment

Third Eye Software is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, or any other characteristic protected by law.

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