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# Sr. Software Engineer (Python, Agentic Development)

- **Company:** Free Market Health
- **Location:** Pittsburgh, PA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Relational Databases, Cursor, Python (Programming Language), Software Engineering, Systems Integration, Azure Service Bus, Datadog, Large Language Models, Claude Code, AI Coding Agents, Backend, Agentic-AI, Event Driven Architecture, Restful APIs, Data Pipelines, Databricks
- **Published:** October 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a06f171a0196cb72

## About the Role

* 7+ years of professional software engineering experience, with deep backend experience in Python or a similar language.
 * A track record of owning complex production systems and becoming the expert others rely on.
 * Experience with system integrations, data pipelines, REST APIs, event-driven architecture, and relational databases such as SQL Server.
 * Hands-on experience with agentic coding tools such as Claude Code or Cursor, including writing agent instructions, skills, or MCP integrations.
 * Curiosity about the business, and a habit of asking why before building.
 * Clear writing, and the instinct to encode what you know into tools other engineers can use.

Nice to Haves

 * Healthcare technology experience, especially specialty pharmacy, PBM, payer, claims, or EDI integrations.
 * Experience with Microsoft Azure, Azure Service Bus, Databricks, or Datadog.
 * Experience with LLM application development or AI workflow automation.
 * Familiarity with HIPAA, HITRUST, or SOC 2.

## Description

* Design, build, and operate backend services, APIs, and integrations in Python, with frontend work in React when it's needed.
 * Become the subject matter expert for a business domain, including referral workflows, pharmacy integrations, and the data that moves between them.
 * Partner with Product and operations teams to understand problems and shape solutions.
 * Review designs and code across teams that touch your domain.
 * Build and improve the agents, skills, rules, and context that help engineers work in your domain with AI coding tools.
 * Bring agentic development practices to the team: spec-driven work, delegating implementation to agents, and validating what they produce.
 * Improve reliability and data quality in the systems you own.