GenAI Engineer (LLM) | Python | RAG | LangChain | AI Integration

Location : Jaipur (Work From Office) Employment Type : Full-Time We're looking for a GenAI Engineer (LLM Engineer) to build scalable AI-powered SaaS applications using Large Language Models (LLMs). You'll develop intelligent AI workflows, integrate LLMs into production systems, and build secure, high-performance AI solutions. Key Responsibilities - Integrate LLM APIs (OpenAI, Claude, Hugging Face) into production applications. - Design and optimize RAG pipelines and prompt engineering workflows. - Build and manage Vector Databases (Pinecone, Weaviate, pgvector). - Optimize AI performance, latency, and operational cost. - Ensure secure, scalable AI architecture. - Collaborate with Product and Engineering teams to deliver AI-powered features. Requirements - 3+ years of backend development using Python, Go, or Node.js . - Hands-on experience with LLMs, LangChain or LlamaIndex . - Strong understanding of RAG, Prompt Engineering, and Vector Databases . - Experience with AWS, GCP, or Azure . - Knowledge of APIs, Microservices, and AI application development. Preferred: Experience in SaaS/FinTech, LLMOps, or Model Fine-tuning. Education: B.Tech, BCA, or equivalent technical qualification. Apply Now Application Form: https://zfrmz.com/pAKb2ynfomIsuNwRfRbV?utm_source=cutshort Skills:- Python, Large Language Models (LLM), Generative AI, Retrieval Augmented Generation (RAG), LangChain, Prompt engineering, Artificial Intelligence (AI), AI Integration, OpenAI API, Vector database, API Integration, LlamaIndex, Huggingface, Claude API, Pinecone, Weaviate, pgvector, FastAPI, AI Agents, MCP (Model Context Protocol), LangGraph, AI Automation, Backend Development, NodeJS (Node.js), LLMOps, Model Fine-tuning, Prompt Optimization and SaaS Development