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).
- Solid 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

📌 Senior Full Stack Developer (Kolkata)
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📍 Kolkata