Full Stack Engineer(AI)

One Advisors; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

One Advisors in Singapore is seeking an AI Engineer to design, build, and optimize AI solutions using LLMs (OpenAI, Azure OpenAI, Google Gemini) and RAG architectures across enterprise workflows. The role emphasizes scalable, secure AI applications.

You will collaborate with stakeholders, implement document processing with Azure Document Intelligence and OCR, and design scalable platforms with governance and compliance.

Qualifications

• 5+ years in software/cloud/data/AI engineering, with 2+ years in AI/GenAI.
• Hands-on experience with OpenAI, Azure AI, Google Gemini, and vector databases.
• Strong skills in Python, REST APIs, and cloud-native development.
• Familiarity with LangChain, Semantic Kernel, and MLOps/LLMOps.
• Bachelor’s degree in Computer Science, AI, Data Science, or related field.

Responsibilities

• Develop AI solutions with LLMs, RAG, and automation tools.
• Implement document processing using Azure Document Intelligence and OCR.
• Design scalable AI platforms with security, governance, and compliance.
• Collaborate with stakeholders to drive innovation and enable adoption.

Skills

AI engineering

Cloud engineering

Python

REST APIs

LangChain

MLOps/LLMOps

Education

Bachelor's degree in CS/AI/Data Science

Tools

OpenAI

Azure AI

Google Gemini

Vector databases

Kubernetes

Docker

Job description

The AI Engineer will design, build, and optimize AI solutions using LLMs (OpenAI, Azure OpenAI, Google Gemini), RAG architectures, vector databases, and intelligent automation platforms. The role focuses on delivering scalable, secure, and high-impact AI applications across enterprise workflows.

Key Responsibilities

• Develop AI solutions with LLMs, RAG, and automation tools


• Implement document processing using Azure Document Intelligence and OCR


• Design scalable AI platforms with security, governance, and compliance


• Collaborate with stakeholders to drive innovation and enable adoption

Qualifications

• 5+ years in software/cloud/data/AI engineering, with 2+ years in AI/GenAI


• Hands‑on experience with OpenAI, Azure AI, Google Gemini, and vector databases


• Strong skills in Python, REST APIs, and cloud‑native development


• Familiarity with LangChain, Semantic Kernel, and MLOps/LLMOps


• Bachelor’s degree in Computer Science, AI, Data Science, or related field

Preferred Skills

• AI Agents, multimodal AI, and advanced orchestration


• Kubernetes, Docker, and cloud‑native deployment


• Knowledge of Responsible AI and governance frameworks


• Insurance or Banking background highly preferred