Software Team Lead - Front End
Dripi
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.
Responsibilities
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 And 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.
Requirements
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).
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 and semantic search.
Understanding of RAG concepts and AI inference workflows.
Data And Systems
MongoDB (schema design, aggregations).
Redis / caching.
Async processing and background jobs.
This job was posted by Piyush Mendhiratta from Dripi.
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