Gen Ai Engineer
GenAI engineering
Likely openWe list a role only while we believe it is still open. Confirm on the posting before you apply.
What stands out
- Posted in the last 24 hours.
The gist
GenAI, Generative AI, LLM, RAG, LangChain, LangGraph, Semantic Kernel, Agentic AI, AI Agents, AWS Bedrock, Azure OpenAI, Azure AI Studio, Prompt Engineering, Vector Database, Pinecone, FAISS, ChromaDB, FastAPI, Python, AKS, EKS, Docker, Kubernetes, MLOps, Azure ML, OpenSearch, Hugging Face Design, develop, and deploy enterprise-scale Generative AI solutions using LLMs and foundation models. Build and optimize Retrieval-Augmented Generation (RAG) pipelines for knowledge-based applications. Develop intelligent AI agents and workflows using LangChain, LangGraph, Semantic Kernel, CrewAI, or similar frameworks.
What you would actually do
- Build and optimize RAG pipelines for knowledge-based apps
- Deploy AI agents using LangChain, LangGraph, or CrewAI
- Integrate GenAI with enterprise systems and cloud platforms
Skills mentioned
How to apply
Early-career roles in India often collect hundreds of applicants within a day, so applying early matters more than applying perfectly. A half-finished application sent on the first morning beats a polished one sent on the third.
This summary was written by InternDoor from the public posting, and is not the employer's own wording. The linked posting is the source of truth — check it before you apply.