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Senior AI Software Engineer
Location
United States
Posted
19 days ago
Salary
0
Seniority
Senior
Job Description
Senior AI Software Engineer
Third Eye Software
• 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
Job 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
- 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**
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