Role Overview
We’re looking for a Full-Stack Developer who is strong 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
- Strong 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 (Strong 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)
