AI Engineer

KRYJAS PRIVATE LIMITED; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

KRYJAS PRIVATE LIMITED is seeking an experienced AI Engineer to design, develop, and deploy AI, ML, and Generative AI solutions. You will work on Agentic AI, RAG chatbots, document processing, forecasting, and enterprise AI on Azure/Microsoft technologies.

Responsibilities include building scalable pipelines, deploying models with Azure ML and Docker, creating REST APIs, and integrating AI with enterprise apps.

Qualifications

• Experienced AI engineer focused on design, development and deployment of AI/ML and Generative AI solutions.
• Strong background in Agentic AI, RAG-based chatbots, and enterprise AI stacks on Azure/Microsoft tech.

Responsibilities

• Develop and deploy AI/ML and Generative AI solutions using Python, TensorFlow, PyTorch and Scikit-learn
• Build Agentic AI and RAG applications using LangChain, LangGraph, Microsoft Foundry and Azure Open AI
• Design intelligent document processing, OCR and computer vision solutions
• Develop scalable ML pipelines and deploy models using Azure ML, ML flow, Docker and Azure services
• Create REST APIs and integrate AI solutions with enterprise applications
• Implement workflow automation using n8n and cloud-based orchestration tools
• Collaborate with cross-functional teams to deliver business-focused AI solutions

Skills

Python

TensorFlow

PyTorch

Scikit-learn

LangChain

LangGraph

Microsoft Foundry

Azure AI

Azure ML

OpenAI GPT Models

RAG

Vector Databases

Neo4j

FastAPI

ReactJS

SQL

Microsoft Fabric

Docker

MLflow

Azure DevOps

Git

OCR

Computer Vision

n8n

Tools

Docker

MLflow

Neo4j

Azure DevOps

Microsoft Foundry

Job description

Job Summary

Experienced AI Engineer with expertise in designing, developing, and deploying AI, Machine Learning, and Generative AI solutions. Strong background in building Agentic AI applications, RAG-based chatbots, intelligent document processing systems, forecasting models, and enterprise AI solutions using Azure AI and Microsoft technologies.

Key Responsibilities

• Develop and deploy AI/ML and Generative AI solutions using Python, TensorFlow, PyTorch and Scikit-learn


• Build Agentic AI and RAG applications using LangChain, LangGraph, Microsoft Foundry and Azure Open AI


• Design intelligent document processing, OCR and computer vision solutions


• Develop scalable ML pipelines and deploy models using Azure ML, ML flow, Docker and Azure services


• Create REST APIs and integrate AI solutions with enterprise applications


• Implement workflow automation using n8n and cloud-based orchestration tools


• Collaborate with cross-functional teams to deliver business-focused AI solutions

Key Skills

Python, TensorFlow, PyTorch, Scikit-learn, LangChain, LangGraph, Microsoft Foundry, Azure AI, Azure ML, OpenAI GPT Models, RAG, Vector Databases, Neo4j, FastAPI, ReactJS, SQL, Microsoft Fabric, Docker, MLflow, Azure DevOps, Git, OCR, Computer Vision, n8n.

Preferred Experience

• Enterprise AI and Generative AI solutions


• AI-powered chatbots and virtual assistants


• Forecasting and predictive analytics


• Document intelligence and KYC automation


• Cloud-native AI deployments on Azure