Note: The job is a remote job and is open to candidates in USA. PlayOn Sports 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 involves strong backend delivery ownership and hands-on work on data, APIs, and LLM integrations to enhance sports data accessibility and performance.
Responsibilities
- 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
- 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 (retrieval quality, answer accuracy, and regression detection) wired into CI
Skills
- 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, applied to production AI features and/or agentic dev workflows
- Solid PostgreSQL experience, including schema design, query tuning, and modeling data for both transactional and analytical/AI access patterns
- Experience with CI/CD pipelines, automated testing, and Git/GitHub workflows
- Ability to work effectively in a collaborative, agile, team-oriented environment
- Bachelor's in Computer Science or equivalent experience preferred
- Frontend development experience
- Proficiency with load testing, observability, and reliability engineering practices
- Experience working on high-traffic public-facing websites
- Experience with vector databases or vector search
- Experience exposing data and tools to LLMs via function calling, MCP, or agent frameworks
- Knowledge of or interest in sports, sports management, and statistics
Benefits
- Multiple medical insurance plans to choose from
- Dental, vision life and disability insurance
- Employee Emergency Fund
- Company equity (stock options)
- Open PTO policy
- 401K plan with company match
- Hybrid/flexible work environment
- Must be a full-time employee to participate in the company’s employee health benefit plan; Part-time employees and interns are not eligible to participate
Company Overview