Senior Full Stack Developer

• *Experience : 5\+ years to 9 years**

• *Key Responsibilities**

• Design, develop, and ship features across the full stack — frontend (web UI), backend services/APIs, and database layers.
• Use AI coding tools (Claude Code, GitHub Copilot, Cursor, or similar) to accelerate development, refactoring, and code review — while maintaining full ownership of code quality and correctness.
• Translate business requirements into technical designs, estimates, and implementation plans.
• Build and consume REST/GraphQL APIs and integrate third\-party services (payments, auth, email, AI/LLM APIs). AI Integration
• Design and build AI\-powered product features using LLM APIs (Anthropic Claude, OpenAI, or similar): chat assistants, summarization, extraction, classification, semantic search.
• Apply prompt engineering, RAG (retrieval\-augmented generation), embeddings/vector search, and function/tool calling where appropriate.
• Evaluate AI feature quality: measure accuracy, handle hallucinations, add guardrails, and manage cost/latency trade\-offs. Testing \& Quality
• Own quality for the features you build: write unit, integration, and end\-to\-end tests — and use AI tools
• **Nice to Have**
• Experience building agentic workflows (multi\-step tool use, MCP servers, agent frameworks/SDKs).
• **RAG pipeline experience: chunking, embeddings, vector search, re\-ranking.**
• Experience with Docker/Kubernetes and infrastructure\-as\-code.
• Experience with serverless platforms or BaaS (Supabase, Firebase).
• **Data migration experience — moving customers from legacy systems into a new product.**
• Prior work on SaaS or multi\-tenant products.generate and expand test coverage efficiently.
• Define test plans and acceptance criteria; perform functional, regression, and performance testing before releases.
• Set up and maintain automated test suites in CI/CD pipelines.
• Reproduce, triage, and root\-cause bugs from QA and production, using AI\-assisted debugging where it speeds up resolution. Maintenance \& Production Support
• Maintain and enhance existing production applications — bug fixes, security patches, dependency upgrades, performance tuning.
• Monitor production systems (logs, metrics, alerts), diagnose incidents, and drive them to resolution.
• Perform database maintenance: schema migrations, query optimization, data repair/backfill scripts.
• Refactor legacy code and reduce technical debt without disrupting live
• **Required Skills \& Experience**
• 6\+ years of professional software development experience, with at least 2 full product lifecycles taken from
• **concept to production and ongoing maintenance.**
• Proven daily use of AI development tools — Claude Code, GitHub Copilot, Cursor, Windsurf, or similar — in
• real project work; able to describe concretely how AI tools changed your workflow and where their limits
• Hands\-on experience integrating LLM APIs (Anthropic, OpenAI, Gemini, or open\-source models) into at
• **least one shipped project or feature.**
• Strong proficiency in JavaScript/TypeScript and a modern frontend framework (React, Vue, or Angular).
• Strong backend experience with Node.js (or Python/Java/.NET) — APIs, services, background jobs.
• **Solid command of SQL databases (PostgreSQL/MySQL): schema design, indexing, migrations, query**
• optimization. Exposure to NoSQL/vector databases (pgvector, Pinecone, Redis) is a plus.
• Hands\-on testing experience: unit/integration frameworks (Jest, Vitest, Playwright/Cypress) and test
• **automation in CI.**
• Experience with Git, CI/CD pipelines, and cloud platforms (AWS/Azure/GCP).
• Production operations experience: monitoring, logging, live debugging, incident response.
• **Understanding of security fundamentals — including AI\-specific risks**

Pay: ₹1,500,000\.00 \- ₹2,000,000\.00 per year

Work Location: In person