Full-Stack Engineer (AI-Native) (Bengaluru)

Full-Stack Engineer (AI-Native) (Bengaluru)

04 Oct
|
Appscrip
|
Bengaluru

04 Oct

Appscrip

Bengaluru

Full-Stack Engineer (AI-Native) | 2-4 Years Experience

About The Role

We're hiring a Full-Stack Engineer who is equally comfortable building a polished Next.js interface and a reliable NestJS API behind it. You'll build customer-facing products, including AI-powered features like chat interfaces, streaming responses, and agent-driven workflows. You'll own features end to end, from database schema to UI, and use AI tools daily to ship faster without lowering the quality bar.

What You'll Do

Frontend

- Build responsive, accessible, high-performance UIs with React, Next.js (App Router, RSC) and TypeScript
- Build AI-facing interfaces: streaming chat UIs, tool-call/agent-status displays, and loading, error, and retry states for non-deterministic outputs
- Monitor web vitals and fix performance regressions

Backend

- Design and build scalable REST/GraphQL APIs and services with Node.js and NestJS
- Model, query, and optimize data in PostgreSQL (schema design, indexing, migrations) using an ORM like Prisma or Drizzle
- Implement auth, authorization, validation, background jobs, queues, and caching (Redis)
- Integrate LLM APIs (OpenAI, Anthropic, Gemini), including streaming (SSE/WebSockets), tool calling, retries, rate limits, and cost/latency control

AI-Assisted Engineering

- Use AI coding tools (Cursor, Claude Code, Copilot, etc.) for scaffolding, refactoring, debugging, and test writing
- Write and maintain project context for AI tools (rules files, AGENTS.md/CLAUDE.md, reusable prompts) so the whole team gets better output
- Review AI-generated code critically for correctness, security, performance, and maintainability

Team and Delivery

- Write unit, integration, and E2E tests,



using AI to speed them up rather than skip them
- Take part in code reviews, sprint planning, architecture discussions, and on-call/incident follow-ups
- Document APIs, decisions, and runbooks clearly

Must-Have (Non-Negotiable)

Frontend

- Strong JavaScript (ES6+) and TypeScript
- React (hooks, state management, rendering behavior) and Next.js (App Router, SSR/SSG/RSC)
- HTML/CSS fundamentals, Tailwind or similar, responsive design, and accessibility basics

Backend

- Production experience with Node.js and a structured framework (NestJS preferred; Express/Fastify with good architecture is fine)
- Solid PostgreSQL skills: relational modeling, joins, indexes, transactions, query optimization
- API design: REST principles, pagination, versioning, error handling, input validation
- Authentication and authorization (JWT, OAuth2, sessions, RBAC)

Engineering Fundamentals

- Git, PR workflows, and code review habits
- Testing across layers (Jest/Vitest, React Testing Library, API/integration tests; Playwright/Cypress is a plus)
- Basic security awareness (OWASP top 10, secrets management, input sanitization)

AI-Assisted Development

- Daily, hands-on use of at least one AI coding tool (Cursor, Claude Code, Copilot, Windsurf, or similar)
- Ability to write clear prompts,



give useful context, and break big tasks into steps an AI can handle
- Habit of reviewing, testing, and understanding AI output before committing it
- Basic understanding of how LLMs work: context windows, hallucinations, token cost, and why outputs vary

Nice to Have
- Redis, message queues (BullMQ, SQS, Kafka), or event-driven architecture
- Monorepo tooling (Turborepo, pnpm workspaces, Nx)
- Design system or component library work (shadcn/ui, Radix, Storybook)
- tRPC, GraphQL, or OpenAPI-driven type-protected clients
- Multi-tenant SaaS, payments (Stripe/Razorpay), or real-time features
- Open-source contributions, a side project, or shipped AI features you can demo

What We Expect From You
- Ownership: take a feature from schema to UI to production, and flag risks early
- Judgment over speed: AI makes you faster, and you're still accountable for every line you ship
- Security awareness: no secrets in prompts, no blind copy-paste of AI code, and sensitive data stays out of third-party tools
- Systems thinking: consider scale, failure modes, and cost, not just the happy path
- Learning speed: the AI tooling landscape changes every few months, and you keep up and share what works
- Clear communication: PRs, docs, and async updates that others can follow

If interested for this job pls contact us on this WhatsApp number, nine three one six one two zero one three two

Skills

- Fullstack Developer, Artificial Intelligence (AI), NextJs (Next.js), React.js, TypeScript, RESTful APIs, GraphQL, NodeJS (Node.js), PostgreSQL, AWS Simple Queuing Service (SQS) and nestJS

📌 Full-Stack Engineer (AI-Native) (Bengaluru)
🏢 Appscrip
📍 Bengaluru

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