Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Atlassian JIRA, Automation, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Documentation, Enterprise Applications, Machine Tool, Mentoring, Operational Support, Problem Solving Skills, Prototyping, Reliability Testing, Scalable System Development, Software Development Lifecycle (SDLC), Software Engineering, Technical Leadership, Work From Home
Senior Ai Software Engineer
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.
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 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