Job Summary

We are seeking a hands-on Generative AI Backend Engineer with 4-12 years of overall software engineering experience to design, develop, and deploy production-grade Generative AI applications.

The ideal candidate should have solid expertise in Generative AI, LLMs, RAG, Agentic AI, AI Agents, Python, FastAPI/Flask, REST APIs, and modern frontend technologies such as React.js, Next.js, or Angular.

The engineer will integrate AI solutions with enterprise applications and deploy scalable solutions on Azure, AWS, or GCP, while ensuring security, monitoring, performance, accuracy, and production readiness.

Responsibilities

- Design, develop, and deploy production-grade Generative AI applications.
- Develop end-to-end AI applications, including LLM integration, prompt engineering, document ingestion, chunking, embeddings, retrieval, reranking, vector search, AI workflow orchestration, backend APIs, frontend integration, and cloud deployment.
- Hands-on experience with frameworks such as LangChain, LangGraph, LlamaIndex, or Semantic Kernel, along with SQL/NoSQL databases and vector databases such as Pinecone, FAISS, Chroma, Weaviate,



or Azure AI Search.
- Integrate AI solutions with enterprise applications and deploy scalable solutions on Azure, AWS, or GCP, while ensuring security, monitoring, performance, accuracy, and production readiness.

Qualifications

- Experience: 3.5 Years-10 Years
- Education: BE/B Tech

Skills

- Generative AI
- GenAI Engineer
- GenAI Full Stack Engineer
- Full Stack AI Engineer
- LLM
- Large Language Models
- RAG
- Retrieval-Augmented Generation
- Agentic AI
- AI Agents
- Multi-Agent Systems
- Prompt Engineering
- LangChain
- LangGraph
- LlamaIndex
- Semantic Kernel
- Python
- FastAPI
- Flask
- REST API
- React.js
- Next.js
- Angular
- JavaScript
- TypeScript
- Vector Database
- Embeddings
- Semantic Search
- Pinecone
- FAISS
- Chroma
- Weaviate
- Azure AI Search
- Azure OpenAI
- AWS Bedrock
- Google Vertex AI
- Azure
- AWS
- GCP
- Docker
- CI/CD
- Microservices
- LLMOps
- MLOps

Location - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,Remote

📌 Generative AI Backend Engineer (Mumbai)
🏢 Evnek
📍 Mumbai