Senior ai full stack engineer (Maharashtra)

Senior ai full stack engineer (Maharashtra)

10 Sep
|
enreap
|
Maharashtra

10 Sep

enreap

Maharashtra

Own the full lifecycle of Gen AI-powered products — from model & RAG integration to production-grade full-stack delivery.
Experience · 3–5 years
Function: Engineering-AI+Full Stack
We're building Gen AI-powered applications that combine large language models, retrieval systems, and cloud-native infrastructure. We're looking for an engineer who can own the full lifecycle — from model and RAG integration through to production-grade full-stack development — and ship independently with minimal oversight.
What You'll Do:
— Design and build end-to-end architecture for AI-powered applications, from UI through backend to cloud infrastructure.
— Develop RAG pipelines, integrate LLMs, and build MCP-based agentic workflows.
— Build responsive, production-quality front-end interfaces using React.
— Develop and maintain backend services and APIs using Node.js and Python.
— Deploy, scale, and monitor AI workloads on AWS.
— Evaluate and monitor LLM/RAG output quality in production.
— Partner closely with product, design, and QA to translate requirements into shipped features.




— Troubleshoot independently and propose solutions — not just surface problems.
Must-Have Skills:
3–5 years in software / full-stack development. Proficiency in Python. Full Stack Development:
Proficiency in React, Java Script/Type Script, HTML, and CSS. Backend development with Node.js and RESTful API design. SQL/No SQL databases, Git, and version control (Git Hub or Bitbucket). AI & NLP:
Robust NLP foundation: tokenization, preprocessing, POS tagging, NER, vectorization (Bo W, TF-IDF, Word2 Vec/embeddings). Solid grasp of transformer architecture (self-attention, multi-head attention, positional encoding) and how LLMs are trained. Hands-on experience building RAG systems, including hybrid search. Prompt engineering — designing, testing, and iterating on prompts for production. Vector databases (FAISS, Chroma DB, or Pinecone). Working knowledge of Lang Chain and MCP (Model Context Protocol). Cloud-AWS/Atlass

📌 Senior ai full stack engineer (Maharashtra)
🏢 enreap
📍 Maharashtra

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