Senior Full Stack Developer (AI-Augmented Development)

Senior Full Stack Developer (AI\-Augmented Development)

• *Experience:** 6–10 years \| **Type:** Full\-time

About the Role

We are looking for a Senior Full Stack Developer who has owned products end\-to\-end — designing, building, testing, deploying, and maintaining them in production — and who works the way modern engineers work: with AI tools deeply integrated into their daily workflow. You should have hands\-on, demonstrable experience using AI coding assistants and LLM APIs in real projects, not just experimentation. You will work across the entire product development lifecycle: from requirements and architecture through development, QA, release, and long\-term maintenance of live systems.

Key ResponsibilitiesDevelopment

• 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 to 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 users.

Full Product Lifecycle Ownership

• Participate in all phases: discovery, requirements, architecture, development, testing, deployment, release, and post\-release support.
• Work with product managers, designers, and stakeholders to shape scope and priorities.
• Plan and execute releases, including rollback strategies and zero\-downtime deployments.
• Contribute to documentation: technical specs, runbooks, API docs, release notes.
• Mentor junior developers, including on effective and responsible AI tool usage.

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.
• Hands\-on experience integrating LLM APIs (Anthropic, OpenAI, Gemini, or open\-source models).
• Strong proficiency in JavaScript/TypeScript and a modern frontend framework (React, Vue, or Angular).
• Strong backend experience with Node.js (or Python/Java/.NET).
• Solid command of SQL databases (PostgreSQL/MySQL): schema design, indexing, migrations, query optimization.
• Hands\-on testing experience: unit/integration frameworks (Jest, Vitest, Playwright/Cypress).
• 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.
• Strong communication skills.

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.
• Prior work on SaaS or multi\-tenant products.

Pay: ₹1,600,000\.00 \- ₹1,800,000\.00 per year

Application Question(s)

• Do you have following skills?

AI Coding Tools (Copilot/Cursor)

CI/CD

Cloud Platforms (AWS/Azure/GCP)

GraphQL/REST APIs

JavaScript/TypeScript

LLM APIs

Node.js

Prompt Engineering

RAG

React

SQL (PostgreSQL/MySQL)

System Architecture

Unit/Integration Testing

Education

• Bachelor's (Preferred)

Experience

• Full\-stack development: 6 years (Required)

Location

• Kolkata, West Bengal (Required)

Work Location: In person