Lead Software Engineer

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.

Skills

Express, FastAPI, NestJS, Next.js, Node, Node.js, Python, React, React.js