Role Overview

We’re looking for a Full-Stack Developer who is solid in MERN, confident in Python backends, and excited to work hands-on with AI-powered systems.

You’ll build user-facing features and the AI-enabled services behind them — from creator feeds to intelligent recommendations.

What You’ll Do

AI-Powered Product Development
Integrate LLMs and AI services into product workflows (search, recommendations, assistants)
Work with AI/ML engineers on RAG pipelines, embeddings, and inference APIs
Build backend services that power AI stylists, product tagging, and content intelligence

Full-Stack Engineering
Build end-to-end features using React / Next.js + Node.js + Python (FastAPI)
Develop scalable REST APIs and microservices
Own features from design discussion to production rollout

Backend & Data
Design APIs for feeds, reels, creators, products, and commerce
Work with MongoDB, Redis, and SQL databases
Build async jobs, webhooks, event pipelines, and background workers

Frontend
Build fast, clean, and responsive UIs
Implement AI-driven UX patterns (smart suggestions, auto-tagging, search)
Collaborate closely with product and design

Engineering Excellence




Write clean, maintainable, well-tested code
Improve performance, scalability, and reliability
Participate in architectural decisions and code reviews

Must-Have Skills

Core Stack
4–6 years of hands-on full-stack experience
Robust experience with:
- React.js / Next.js
Node.js (Express / NestJS)
Python (FastAPI preferred)
Solid understanding of REST APIs, auth (JWT/OAuth)

AI Awareness (Practical)
Experience integrating AI/ML APIs into production systems
Familiarity with:
- LLMs (OpenAI, Mistral, LLaMA, Cohere)
Prompt engineering basics
Embeddings & semantic search
Understanding of RAG concepts and AI inference workflows

Data & Systems
MongoDB (schema design, aggregations)
Redis / caching
Async processing & background jobs

Good to Have (Robust Plus)
Hands-on with LangChain, Haystack, or similar
Experience with vector databases (FAISS, Pinecone, Weaviate)
Exposure to computer vision or image/video pipelines
Startup or 01 product experience
Docker, CI/CD, basic cloud deployment (AWS/GCP/Azure)

📌 Full Stack Developer Noida 4+ Years (India)
🏢 Informica Solutions
📍 India