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Unison Group New Zealand

Singapore / Global

AI Developer - Azure AI & Intelligent Automation

Job Description

Role Overview

We are seeking an experienced

AI Developer

to design and build

AI agents, Generative AI solutions, and intelligent automation systems

that support advanced manufacturing and complex technical processes.

This role involves working closely with

PhD-level domain experts and technical specialists

to understand scientific and industrial challenges, map complex workflows, and transform domain knowledge into scalable AI-driven solutions using the

Microsoft Azure AI ecosystem

.

The ideal candidate should have strong programming skills in

Python

, hands-on experience with

LLM-based applications, RAG pipelines, AI agents, and Azure AI services

, along with the ability to bridge the gap between technical domain expertise and AI engineering.

Key Responsibilities

Design, develop, and deploy AI agents and end-to-end Generative AI solutions for complex manufacturing and technical use cases.

Collaborate with domain experts, engineers, and researchers to understand business/scientific challenges and translate them into AI-driven solutions.

Analyze, document, and map complex technical processes into structured AI workflows and intelligent automation systems.

Build and integrate solutions using Azure AI services, including:

Azure OpenAI Service

Azure AI Foundry

Azure Machine Learning

Azure Cognitive Services

Develop LLM-powered applications, including:

Retrieval-Augmented Generation (RAG) pipelines

AI agents

Tool-calling workflows

Knowledge-based automation systems

Design prompt engineering strategies and optimize AI model performance.

Develop orchestration workflows using AI frameworks and agent-based architectures.

Deploy, monitor, maintain, and optimize AI solutions in production environments.

Implement security, governance, monitoring, and responsible AI practices.

Collaborate with engineering and DevOps teams for AI solution deployment and lifecycle management.

Required Skills & Experience

Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or related field.

Strong programming experience in Python.

Hands-on experience with Microsoft Azure AI ecosystem, including:

Azure OpenAI

Azure AI Foundry / Azure Machine Learning

Azure Cognitive Services

Experience building Generative AI applications using Large Language Models (LLMs).

Practical experience developing:

AI Agents

RAG-based applications

LLM workflows

AI-powered automation solutions

Strong understanding of AI concepts, machine learning workflows, and NLP technologies.

Experience with AI orchestration frameworks such as:

LangChain

Microsoft Semantic Kernel

Similar agent orchestration frameworks

Ability to collaborate with technical experts and convert complex domain knowledge into AI solutions.

Strong analytical skills with experience in process mapping and workflow optimization.

Understanding of MLOps concepts and AI model deployment practices

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