Role Overview
PlayOn is looking for a Senior Software Engineer to develop AI-powered, data-driven services and features for web experiences used by millions of high school sports fans. This role is embedded in a product development team and combines strong backend delivery ownership with hands-on work on the data, APIs, and LLM integrations that power them.
You’ll partner closely with product and engineering teams to shape how our sports data is modeled, defined, and exposed to both applications and LLMs, and build the systems that bring those features to our audiences.
Key Outcomes
- Ship AI-powered, data-driven features and experiences grounded in PlayOn’s data.
- Build, maintain, and improve APIs and backend services.
- Design and evolve data schemas and APIs that make our sports data accessible to both application code and LLM-driven features.
- Drive technical decisions for the features you ship, and contribute to performance and operational health across the application.
- Establish eval and observability practices for AI features so regressions are caught in CI rather than by users.
In this role, you can expect to
- Develop modern backend services using C# .NET, Python, SQL, AWS, and Snowflake.
- Build LLM-powered features against PlayOn’s data, connecting models to Postgres, Snowflake, and internal APIs via retrieval, tool use, and semantic search.
- Model and evolve data schemas so they serve both traditional APIs and AI-driven access patterns.
- Own features end-to-end: architecture and design, implementation, testing, observability, and operational readiness.
- Plan and execute backend migrations, platform upgrades, and modernization initiatives with minimal risk.
- Optimize and monitor PostgreSQL workloads, including query performance, indexing, and database health trends.
- Define and maintain eval suites for production AI features wired into CI.
Requirements
- 5+ years of professional software engineering experience, including backend web application development.
- Experience building production features backed by LLMs, such as RAG, semantic/vector search, or tool use / function calling.
- Hands-on experience with cloud data warehouses (Snowflake or similar).
- Strong expertise in C# .NET, Python, SQL, REST API design, and data modeling.
- Working knowledge of AWS for deploying and operating backend services.
- Experience building eval frameworks for AI systems, including golden sets, LLM-as-judge, and regression detection.
- Solid PostgreSQL experience, including schema design, query tuning, and modeling data.
- Experience with CI/CD pipelines, automated testing, and Git/GitHub workflows.