More jobs:
Python Developer
Job in
Louisville, Jefferson County, Kentucky, 40201, USA
Listed on 2026-06-15
Listing for:
Brooksource
Full Time
position Listed on 2026-06-15
Job specializations:
-
Software Development
AI Engineer (Applied/Software), AI QA / Validation Engineer, Cloud Engineer - Software, AI Reliability/ Performance Engineer
Job Description & How to Apply Below
Seeking Python Engineers with experience in AI-driven automation and agent-based systems to support a Fortune 50 Healthcare organization’s internal self-service cloud onboarding platform across Azure and GCP. This initiative is focused on enabling engineering and application teams to onboard and consume cloud services through automated workflows, while introducing AI-driven capabilities to further enhance automation, decision-making, and workflow efficiency.
These individuals will help design and build intelligent automation and agent-based solutions that integrate directly into existing onboarding workflows and platform services.
Responsibilities- Develop Python-based applications and services supporting automation workflows.
- Build and enhance AI-driven or agent-based capabilities within internal engineering platforms.
- Design and implement workflow orchestration logic for multi-step, stateful automation processes (agent-based workflows).
- Integrate AI functionality into existing platform services and automation pipelines.
- Collaborate with platform and infrastructure teams to identify opportunities for AI-driven automation.
- Develop production-ready code with appropriate testing and validation.
- Participate in code reviews and adhere to engineering standards.
- Support deployment and CI/CD release processes.
- Troubleshoot and improve AI-enabled automation workflows.
- Experience building AI agent-based systems or intelligent workflow automation solutions.
- Experience with agent orchestration or workflow frameworks such as Lang Graph/Lang Chain (or similar graph-based / multi-step LLM orchestration tools).
- Understanding of how to build production applications that integrate AI capabilities into broader platforms.
- Familiarity with CI/CD pipelines and Dev Ops release processes (Git Hub and/or Azure Dev Ops).
- Experience working in cross-functional engineering teams.
- Ability to translate business workflows into structured automated or AI-assisted processes.
- Exposure to GCP-based AI development tools or services.
- Experience integrating AI capabilities into enterprise platforms or internal engineering tooling.
- Experience designing structured agent workflows (DAGs, stateful orchestration, or decision-tree-based AI flows).
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