AI Full StackEngineer

Own the full lifecycle of GenAI-powered products —from model&RAG; integration to production-grade full stack delivery.
Experience – Mid-level · 3–5 years
Function – Engineering — AI / Full Stack
Employment – Full time · In office / Hybrid

We’re building GenAI-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

CORE EXPERI EN CE
3–5 years in software / full-stack development.
Proficiency in Python.

FU LL STACK DEVELOPM ENT
Proficiency in React, JavaScript/TypeScript, HTML, and CSS.
Backend development with Node.js and RESTful API design.
SQL/NoSQL databases, Git, and version control(GitHub or Bitbucket).

AI & NLP

StrongNLP foundation: tokenization, preprocessing, POS tagging, NER, vectorization (BoW, TF-IDF, Word2Vec/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

📌 Ai Full Stack Engineer Pune (India)
🏢 enreap
📍 India