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.

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.

Senior Full Stack Developer – TypeScript

Key skills