22 Aug
|
Quanterian
|
India
Junior Full Stack Developer — MERN, RAG & Agentic AI
1–2 years' experience · Full time
About the role
We're hiring a senior full stack engineer to architect, build, and scale a production-grade AI platform built on the MERN stack, with deep retrieval-augmented generation (RAG) and agentic AI components at its core.
You'll work across the entire stack — from React front-ends, through Node.js and Express APIs, to MongoDB and vector data layers — and own the integration of large language models, retrieval systems, and multi-agent orchestration that powers the product.
This is a senior, hands-on engineering role for someone who has shipped real RAG and LLM-powered systems in production and is fluent in both modern web architecture and the AI tooling ecosystem.
Tech stack you'll work with
Frontend: React.js (Hooks, functional components), modern state management (Redux, Zustand, or RTK Query), client-side routing, responsive UI.
Backend: Node.js, Express.js, RESTful API design (GraphQL a plus), authentication / authorization, caching, logging.
Database: MongoDB — schema design,
indexing, aggregation pipelines, query optimization.
AI / LLM layer: OpenAI, Anthropic, Google, and open-source models (Llama, Mistral, Cohere) integrated behind a unified provider-routing layer.
Retrieval: Vector databases such as Pinecone, Weaviate, Qdrant, or pgvector; embedding-based search; chunking and reranking strategies.
Agentic patterns: Tool use, multi-agent orchestration, prompt flow management, context-window handling, guardrails and safety mechanisms.
Infrastructure: AWS, GCP, or Azure; Docker; CI/CD (GitHub Actions, GitLab CI, or similar); container orchestration a plus.
Security: End-to-end encryption, SSO, role-based access control, audit logging, secrets and API-key management, rate limiting.
What you'll be responsible for
Designing and building end-to-end RAG pipelines — document ingestion, chunking, embeddings, indexing, retrieval strategies, and reranking.
Building multi-agen
📌 Junior Full Stack Developer — MERN, RAG (India)
🏢 Quanterian
📍 India