Source description
About the role
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
You Might Also Have
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
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