Azure AI Engineer (Azure AI Foundry & Gen AI)

Unison Group; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Unison Group is seeking an experienced AI engineer to design and deploy AI agents and GenAI solutions in Singapore. You will collaborate with domain experts, translate requirements into AI-driven products, and build integrations using Azure AI services, including OpenAI, Foundry, and ML.

You will implement RAG pipelines, chatbots, and agentic workflows, leveraging LangChain, Semantic Kernel, and other orchestration tools, while ensuring security, governance, and scalable performance.

Qualifications

• Proven ability to design and deploy GenAI solutions and AI agents.
• Hands-on Python development and cloud-native delivery.
• Experience with Azure AI services and LLM-based apps.
• Strong problem-solving and stakeholder management skills.
• Familiarity with MLOps/LLMOps practices and security.

Responsibilities

• Design, develop, and deploy AI agents and end-to-end GenAI solutions to solve complex business and engineering challenges.
• Collaborate with domain experts to translate requirements into AI-driven solutions.
• Build and integrate solutions using Azure AI services (OpenAI, Foundry, ML, AI Search).
• Develop RAG pipelines, AI copilots, chatbots, and agentic workflows.
• Implement prompt engineering, tool calling, orchestration, and multi-agent frameworks.

Skills

Python

LLM/GenAI

RAG solutions

AI agents

Prompt engineering

MLOps/LLMOps

Stakeholder management

Cloud-native development

Tools

Azure OpenAI

Azure ML

Cognitive Services

AI Search

LangChain

Semantic Kernel

AutoGen

Vector databases

Orchestration frameworks

Job description

• Design, develop, and deploy AI agents and end-to-end GenAI solutions to solve complex business and engineering challenges.

• Collaborate with domain experts and stakeholders to understand processes and translate requirements into AI-driven solutions.

• Build and integrate solutions using Azure AI services, including Azure OpenAI, Azure AI Foundry, Azure Machine Learning, AI Search, and Cognitive Services.

• Develop Retrieval-Augmented Generation (RAG) pipelines, AI copilots, chatbots, and agentic workflows leveraging enterprise knowledge sources.

• Implement prompt engineering, tool/function calling, workflow orchestration, and multi-agent frameworks using LangChain, Semantic Kernel, or similar technologies.

• Deploy, monitor, and optimize AI applications in production while ensuring security, governance, scalability, and performance.

• Establish LLMOps/MLOps practices for model deployment, evaluation, monitoring, and continuous improvement.

• Strong programming skills in Python.

• Hands‑on experience with Azure AI ecosystem (Azure OpenAI, Azure AI Foundry, Azure ML, AI Search, Cognitive Services).

• Experience building LLM-based applications, AI agents, RAG solutions, and GenAI-powered applications.

• Knowledge of prompt engineering, vector databases, semantic search, and orchestration frameworks (LangChain, Semantic Kernel, AutoGen, etc.).

• Strong analytical, problem-solving, and stakeholder management skills.

• Familiarity with cloud-native development, APIs, and MLOps/LLMOps practices.