Senior AI Software Engineer

New

Mostly remote work and occasional in-office collaboration. Candidates should be Metro Atlanta-based.ContractSenior

Salary not disclosed

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Job Details

Required Skills: PythonKubernetesProduct OperationsCI/CDRESTful APIsMicroservicesDistributed Systems

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
Experience with RAG, vector databases, embeddings, or context management patterns (Preferred)
Experience with developer tooling or SDLC automation (Preferred)
Experience with Kubernetes, cloud-native platforms, or infrastructure automation (Preferred)
Experience supporting enterprise-scale engineering organizations (Preferred)

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

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