AI Full-Stack Engineer

About the job

Role Overview: We are seeking a hands-on Full-Stack Engineer to build 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 (state management, forms/validation, responsive UI) with clean, reusable components. • Design and implement FastAPI services and REST endpoints (OpenAPI schemas, JSON contracts, pagination, error handling). • Model data in PostgreSQL; implement caching with Redis; write efficient SQL; maintain migrations and seed scripts. • Integrate with agent workflows (message threads, approvals/HITL, activity/audit views) via well-typed API contracts. • Add observability (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 (CORS/CSRF/XSS/SSR mitigations). • Write tests (unit/integration/E2E via pytest/Playwright) and participate in CI/CD to keep releases fast, reliable, and secure. • 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 to enable rapid onboarding and consistent delivery. Required Skills and Qualifications: • Proficiency in React + TypeScript and modern tooling (Vite/Next.js), forms/validation (e.g., Zod), and component composition. • Strong Python skills with FastAPI, async I/O, Pydantic models, and testing (pytest). • Solid understanding of SQL/PostgreSQL, Redis caching, and data modeling for reliability and performance. • Experience designing REST APIs (OpenAPI), handling auth/permissions, and integrating third-party services. • Practical knowledge of observability (metrics/traces/logs) and performance tuning (p95/p99 latency, bundling, memoization). • Ability to build fast, reliable, and secure implementations with clear error reporting and rollback strategies. • Proficiency with AI coding tools like Claude for code generation and Cursor AI editor for rapid development. • Well-versed in latest models and modules (e.g., for embeddings and integrations) and how to consume them safely via APIs.

Requirements

• React
• TypeScript
• Python
• FastAPI
• PostgreSQL

Preferred Technologies

• React
• TypeScript
• Python
• FastAPI
• PostgreSQL

About the company

At Quantum Gandiva AI, we're not just another startup. We are a deep-research AI lab based in Visakhapatnam, and we're building the Autonomy Stack for self-improving AI. We believe in practical, reproducible research, and we're looking for a foundational team member to build with us.