Senior Full Stack Developer (AI-Augmented Development)

Experience: 8+ 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 Responsibilities Development • 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 — in real project work; able to describe concretely how AI tools changed your workflow and where their limits are.
- 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).
- Robust 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 (prompt injection, data leakage to third-party models).
- Strong communication skills — able to explain technical trade-offs to non-technical stakeholders. 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.

What Success Looks

Like • Features ship on time, are well-tested, and rarely bounce back from QA or production.
- You ship measurably faster than a traditional workflow by leveraging AI tools — without sacrificing code quality or review rigor.
- AI-powered features you build are reliable, cost-efficient, and safe (guarded against misuse and hallucination).
- The systems you maintain get healthier over time: better coverage, fewer recurring bugs, faster performance

📌 Senior Full Stack Developer (Kolkata)
🏢 Experiture Global
📍 Kolkata