You are a dynamic startup developing an innovative AI-driven Anonymous Stack and building Self-Improved AI Systems. You warmly invite passionate individuals to join your collaborative team and contribute to meaningful projects in a supportive, growth-oriented environment. As a hands-on Full-Stack Engineer at Quantum Gandiva AI, your role involves building the core web experience and backend APIs that power agentic AI workflows from scratch to a production-ready prototype. You will own end-to-end delivery across React/TypeScript (frontend) and Python/FastAPI (backend), with strong attention to reliability, security, performance, and clear telemetry. Key Responsibilities: - Build user-facing web interfaces in React + TypeScript with clean, reusable components for state management, forms/validation, and responsive UI. - Design and implement FastAPI services and REST endpoints, including OpenAPI schemas, JSON contracts, pagination, and error handling. - Model data in PostgreSQL, implement caching with Redis, write efficient SQL, and maintain migrations and seed scripts. - Integrate with agent workflows via well-typed API contracts for message threads, approvals/HITL, and activity/audit views. - Add observability with OpenTelemetry traces/metrics/logs, structured logging, and feature flags for safe rollouts. - Implement auth (JWT/OAuth), RBAC/permissions, input validation, rate limiting, and basic security hardening. - Write tests (unit/integration/E2E via pytest/Playwright) and participate in CI/CD for fast, reliable, and secure releases. - Partner with Applied AI, Data Engineering, and DevOps to ship end-to-end features and iterate from evaluation feedback. - Document API contracts, architecture decisions, and runbooks for rapid onboarding and consistent delivery. Required Skills and Qualifications: - Proficiency in React + TypeScript, modern tooling, forms/validation, and component composition. - Strong Python skills with FastAPI, async I/O, Pydantic models, and testing. - Solid understanding of SQL/PostgreSQL, Redis caching, and data modeling for reliability and performance. - Experience designing REST APIs, handling auth/permissions, and integrating third-party services. - Practical knowledge of observability and performance tuning. - Ability to build fast, reliable, and secure implementations with clear error reporting and rollback strategies. - Proficiency with AI coding tools and latest models/modules for safe consumption via APIs. Experience Requirements: Years of professional experience are not mandatory; however, candidates must demonstrate a portfolio of shipped web applications and/or AI-enabled apps showing end-to-end ownership, quality practices, and thoughtful API design.,