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Full-Stack Engineer (AI-Native)

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Actively hiring · Posted 24d ago · JEV2610CF058D5BBE

Salary₹4,00,000 – ₹6,00,000 per year
Experience2–4 yrs
LocationBengaluru (Bangalore)
Work modeOffice · Full time
Openings1

Job description

Full-Stack Engineer (AI-Native) | 2-4 Years Experience About the RoleWe'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 FrontendBuild responsive, accessible, high-performance UIs with React, Next.js (App Router, RSC) and TypeScriptBuild AI-facing interfaces: streaming chat UIs, tool-call/agent-status displays, and loading, error, and retry states for non-deterministic outputsMonitor web vitals and fix performance regressionsBackendDesign and build scalable REST/GraphQL APIs and services with Node.js and NestJSModel, query, and optimize data in PostgreSQL (schema design, indexing, migrations) using an ORM like Prisma or DrizzleImplement 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 controlAI-Assisted EngineeringUse AI coding tools (Cursor, Claude Code, Copilot, etc.) for scaffolding, refactoring, debugging, and test writingWrite and maintain project context for AI tools (rules files, AGENTS.md/CLAUDE.md, reusable prompts) so the whole team gets better outputReview AI-generated code critically for correctness, security, performance, and maintainabilityTeam and DeliveryWrite unit, integration, and E2E tests, using AI to speed them up rather than skip themTake part in code reviews, sprint planning, architecture discussions, and on-call/incident follow-upsDocument APIs, decisions, and runbooks clearlyMust-Have (Non-Negotiable)FrontendStrong JavaScript (ES6+) and TypeScriptReact (hooks, state management, rendering behavior) and Next.js (App Router, SSR/SSG/RSC)HTML/CSS fundamentals, Tailwind or similar, responsive design, and accessibility basicsBackendProduction 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 optimizationAPI design: REST principles, pagination, versioning, error handling, input validationAuthentication and authorization (JWT, OAuth2, sessions, RBAC)Engineering FundamentalsGit, PR workflows, and code review habitsTesting 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 DevelopmentDaily, 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 handleHabit of reviewing, testing, and understanding AI output before committing itBasic understanding of how LLMs work: context windows, hallucinations, token cost, and why outputs vary Nice to HaveRedis, message queues (BullMQ, SQS, Kafka), or event-driven architectureMonorepo tooling (Turborepo, pnpm workspaces, Nx)Design system or component library work (shadcn/ui, Radix, Storybook)tRPC, GraphQL, or OpenAPI-driven type-safe clientsMulti-tenant SaaS, payments (Stripe/Razorpay), or real-time featuresOpen-source contributions, a side project, or shipped AI features you can demoWhat We Expect From YouOwnership: take a feature from schema to UI to production, and flag risks earlyJudgment over speed: AI makes you faster, and you're still accountable for every line you shipSecurity awareness: no secrets in prompts, no blind copy-paste of AI code, and sensitive data stays out of third-party toolsSystems thinking: consider scale, failure modes, and cost, not just the happy pathLearning speed: the AI tooling landscape changes every few months, and you keep up and share what worksClear communication: PRs, docs, and async updates that others can followIf interested for this job pls contact us on this WhatsApp number, nine three one six one two zero one three two

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