- Build AI-powered internal tools and data-driven systems including analytics platforms and reporting automation.
- Develop AI/ML-driven platforms to process and analyze large-scale operational data from 30M+ sites.
- Design and deploy RAG systems, LLM-powered features, and agentic workflows.
- Build data pipelines that ingest, transform, and serve behavioral and operational data at scale.
- Prototype and ship AI solutions to streamline internal processes and improve decision-making.
- Evaluate and select models, frameworks, and infrastructure to balance performance, cost, and latency.
- Write clean, well-tested, production-grade Python code with proper observability.
- Collaborate with product teams to translate needs into functional internal tools.