Lean Layer - Senior Full Stack Developer – AI Infrastructure

• Full Stack Application Development • Build and maintain React/TypeScript interfaces including dashboards, portals, and project management views • Develop real-time and collaborative features such as threaded conversations and shared workflows • Design and implement Python-based backend systems using FastAPI or Flask • Create REST APIs, relational data models, and application state management systems • Implement authentication, role-based access control, and approval workflows • AI Integration & Application Layer • Integrate LLM APIs (OpenAI, Anthropic) into production systems • Build application workflows where AI generates outputs and humans review/approve • Handle streaming responses and real-time AI interactions • Debug and optimize prompt behavior and model outputs • Design systems that combine deterministic logic with AI-driven components • Data Systems & Storage • Design and manage relational data models using PostgreSQL • Utilize Redis for caching, state management, and performance optimization • Work with vector databases (e.g., ChromaDB) for semantic search and retrieval • Integrate analytics and event tracking using platforms like BigQuery • Ensure data consistency, performance, and scalability across systems • Integrations & External Systems • Build and maintain integrations with third-party systems such as CRMs, Slack, Google Drive, and other operational tools • Design connectors that are reliable, configurable, and adaptable across deployments • Ensure integrations are robust and maintainable across different client environments • Infrastructure & Deployment • Containerize applications using Docker • Deploy and manage infrastructure on Google Cloud Platform (GCE, Compute Engine) • Build and maintain CI/CD pipelines using GitHub Actions • Design deployment systems that support isolated, per-customer environments • Ensure reliability, scalability, and repeatability of deployments across cloud environments