Teams at 365Scores

Build and own production generative AI systems across batch and ultra-low-latency live workflows. Responsibilities include multi-agent orchestration, agent memory and harnesses, model routing, backend and database architecture, RAG pipelines, automated evaluation, observability, and cost optimization across AWS, GCP, and Databricks.

Leads backend engineering for a high-scale sports product, designing APIs, services, microservices, data pipelines, and scalable cloud deployments. Responsibilities include architecture, performance and security optimization, real-time data processing, code reviews, testing, production releases, technical specifications, mentoring, task delegation, blocker resolution, hiring, and developer onboarding.

Build and deploy production ML systems and end-to-end pipelines, translate business problems into mathematical frameworks, conduct experimentation (A/B, causal inference, uplift), maintain real-time models, and mentor junior team members.