Full-Stack Engineer (AI-Native)
Appscrip · Bengaluru · onsite · Posted 1d ago
Not disclosed2–4 yrsfulltimeSourced from
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About this role
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
Frontend
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
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
- 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
- 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
- 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
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
- 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)
- 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)
- 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
- 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-safe clients
- Multi-tenant SaaS, payments (Stripe/Razorpay), or real-time features
- Open-source contributions, a side project, or shipped AI features you can demo
- 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
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
Sourced from foundit
Skills
GraphQLPostgresqlNext.jsnestjsrestful apisredisAI coding toolsNode.JsTypescriptReact.Js
About Appscrip

Appscrip
Software Product
125
employees
2014
12 years old
Bangalore / Bengaluru, Karnataka
IN
₹5L PA avg
Avg at Appscrip
About
Appscrip is a global technology provider for startups and enterprises. We provide cutting-edge software solutions to companies looking to scale their businesses.
Industries
Software ProductIT Services & Consulting
Employee ratings
10 reviews
3.0/ 5
Culture
2.9
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2.5
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