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 contemporary 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

📌 Senior Full Stack Developer (AI-Augmented Development) (Kolkata)
🏢 Silverlume HR Management
📍 Kolkata