Senior AI Software Engineer

Third Eye Software • Atlanta, GA

9h • Hybrid

About The Position

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 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.

Requirements

• 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

Nice To Haves

• 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

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 teams
• Communicate 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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed