SR Python/Typescript engineer

7+ years in backend or full-stack engineering with a strong backend focus. 3+ years working with PostgreSQL, including performance tuning and data modeling. 4+ years combined expertise in TypeScript and Python for backend logic and AI/data pipelines. 2+ years in data-heavy or security-critical environments, with proven optimization and hardening experience. 3+ years deploying applications in cloud/serverless environments (AWS, GCP, Vercel, Fly.io). 1+ year working with LLM or agent orchestration frameworks (e.g., LangChain, AutoGen, ReAct-style agents). Demonstrated experience implementing Auth, RBAC, and secure API design.

Design and optimize PostgreSQL + pgvector data models for high-volume, low-latency operations. Architect secure, production-grade backend engines that integrate with LLMs and agent frameworks. Implement system hardening, including authentication (RBAC), encryption, and secure API patterns. Build scalable backend flows and APIs for cloud/serverless environments (AWS/GCP/Vercel). Monitor and optimize AI model performance, debugging issues in distributed systems. Collaborate with founders and data teams to define long-term architecture around intelligence and memory.