AI Full-stack Engineer

Job description

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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.

We're building the next generation of AI agents and looking for an experienced Full Stack Engineer whohas hands-on experience of shipping web applications.

Check the job description below:

Position Title: AI Full-Stack Engineer

Location: Visakhapatnam, Andhra Pradesh (locals preferred)

Start Date: November 2025 (flexible for the right candidate)

Company Overview:

We are a dynamic startup developing an innovative AI-driven Anonymous Stack and building Self-Improved AI Systems. We warmly invite passionate individuals to join our collaborative team and contribute to meaningful projects in a supportive, growth-oriented environment.

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 ), 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.
• Add-on skill: Basic context engineering to structure frontend/backend payloads for efficient agent context windows.

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 (frontend + backend), quality practices, and thoughtful API design.