AI/Artificial Intelligence Engineer

Cloudxtreme; Hyderabad, Chennai District, Bengaluru; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

Cloudxtreme in PAN India is seeking an AI Engineer to design and implement GenAI powered solutions, integrating OpenAI, Azure OpenAI or AWS Bedrock, and building robust RAG pipelines with vector databases.

You will work on LangChain/LangGraph orchestration, develop backend services in Python, Node.js, Java or .NET, and build modern UIs with React or Angular while exposing secure REST/GraphQL APIs.

Qualifications

• Hands-on experience integrating AI APIs (OpenAI, Azure OpenAI, AWS Bedrock).
• Experience with building RAG pipelines and vector databases.
• Proficient in at least one backend language: Python (FastAPI/Flask/Django), Node.js, Java or C#.
• Frontend experience with React or Angular.
• Experience with REST, GraphQL and integration patterns.

Responsibilities

• Develop and deploy GenAI powered applications.
• Implement LangChain/LangGraph workflows for production.
• Design scalable backend services and APIs.
• Collaborate with cross-functional teams.

Skills

OpenAI

GenAI

Azure AI

AWS AI

Python

Java

Node.js

.NET

React

Angular

LangChain

LangGraph

Job description

JOB DETAILS:

Job Title: AI Engineer

Locations: PAN India

Experience Range: 3+ years

Required Skills: Open AI or Gen AI or Azure AI or AWS AI, Python or Java or Node.js or .Net, Angular or React, Langchain and LangGraph

Job Description:

" GenAI: Hands-on integrating AI APIs (OpenAI/Azure OpenAI/AWS Bedrock), building RAG pipelines, prompt engineering, model fine-tuning, and working with vector DBs/semantic search.

LLM app frameworks & orchestration: hands-on with LangChain and LangGraph for production agentic workflows.

Backend: Strong in at least onePython (FastAPI/Flask/Django) or Node.js (Express) or Java (Spring Boot) or C# (.NET).

Frontend: Proficiency with modern JS frameworks (React/Angular preferred), responsive design, and UX principles.

APIs & Integration: Strong experience with REST, GraphQL, and common integration patterns.