AI Engineer

Verse; Perth; Hybrid; AUD 120,000 - 180,000; Full time

Job summary

Verse is seeking an experienced AI Engineer to design, build and deploy secure, scalable AI-enabled applications across front-end, back-end and cloud components. You will transform business opportunities into production solutions, including AI assistants, intelligent automation and search experiences, while collaborating with stakeholders and delivery teams.

The role emphasizes modern Microsoft and Azure technologies, AI governance, and integration with enterprise data.

Qualifications

• Strong production software delivery experience as AI/Software/Full-Stack engineer.
• Hands-on Azure AI services and cloud architectures.
• Experience with front-end and back-end integration in scalable solutions.
• Familiarity with AI safety, governance and enterprise security controls.

Responsibilities

• Design, develop and deploy production-ready AI solutions on Azure AI services.
• Build AI assistants and agents using Copilot Studio and Power Platform.
• Develop generative AI, ML, search and automation features.
• Implement retrieval-augmented generation and prompt orchestration.

Skills

Azure AI services

Azure OpenAI

React/Angular

REST APIs

DevOps CI/CD

Security authentication

LLMs and embeddings

Vector search / RAG

API design & integration

Stakeholder communication

Tools

Azure AI Foundry

Azure Machine Learning

Power Platform

Job description

An exciting opportunity is available for an experienced AI Engineer to join a large enterprise organisation, helping design, build and deploy secure, scalable AI-enabled applications and services.

The successful candidate will work across front-end, back-end, cloud and AI components to turn business opportunities into reliable production solutions. You'll have the opportunity to develop solutions including AI assistants, intelligent workflow automation, search and knowledge experiences, and generative AI applications.

Working closely with business stakeholders, technology teams, architects and delivery teams, you'll take AI use cases from discovery and prototyping through to secure, governed production environments. You'll also play a key role in establishing reusable engineering patterns and ensuring AI solutions are reliable, supportable and integrated with enterprise systems and data.

This is an initial 12-month contract with the possibility of extension, providing an opportunity to join a technology team undergoing significant AI transformation, working across modern Microsoft and Azure technologies while delivering practical AI solutions that have a direct impact across the organisation.

You Should Have

• Proven experience delivering production software as an AI Engineer, Software Engineer or Full-Stack Developer
• Strong hands-on experience with Microsoft Azure and Azure AI services
• Experience with Azure AI Foundry, Azure OpenAI Service, Azure AI Search or Azure Machine Learning
• Experience with Microsoft Copilot Studio, Power Platform or agent-based AI solutions
• Experience with a modern front-end framework such as React or Angular
• Strong understanding of generative AI concepts including LLMs, embeddings, vector search, RAG and prompt engineering
• Experience designing and consuming APIs and integrating cloud services
• Strong understanding of secure authentication and authorisation
• Experience with DevOps practices, automated testing and CI/CD
• Strong problem-solving and stakeholder communication skills
• Ability to work effectively across both technical and business teams

Technical Requirements

Must Have

• Microsoft Copilot Studio, Power Platform or agent-based AI solutions
• React or Angular
• REST APIs and cloud integrations
• Secure authentication and authorisation
• Embeddings and vector search
• Retrieval-augmented generation (RAG)
• Prompt engineering and model evaluation
• DevOps and CI/CD
• Automated testing
• Production monitoring and observability

Nice to Have

• Experience with data management, data quality and data governance
• Experience with metadata, master data or data integration
• Knowledge of MLOps or LLMOps
• Experience with model lifecycle management
• Experience with AI observability
• Relevant Microsoft certifications across Azure AI, development, data or solution architecture

Key Responsibilities

• Design, develop, test and deploy production-ready AI solutions using Microsoft and Azure AI services
• Build and deploy AI assistants and agents using Microsoft Copilot Studio
• Develop generative AI, machine learning, intelligent search, document processing and automation capabilities
• Design and implement retrieval-augmented generation, prompt orchestration and model evaluation solutions
• Implement appropriate AI safety, evaluation and human-in-the-loop patterns
• Develop responsive and accessible AI-enabled user experiences
• Build secure back-end services, REST APIs and integrations with enterprise applications and data sources
• Apply strong software engineering practices including source control, automated testing, code review and CI/CD
• Work with business stakeholders and subject matter experts to identify opportunities for AI-enabled improvement
• Translate business requirements and use cases into practical technical solutions
• Deliver prototypes and proofs of concept before productionising validated solutions
• Ensure AI solutions meet appropriate security, privacy and governance requirements
• Monitor and optimise AI solutions for performance, availability, latency, scalability and cost
• Troubleshoot production issues and contribute to service reliability
• Develop reusable components, engineering patterns and deployment practices
• Keep up to date with emerging AI and cloud technologies and identify opportunities for their practical adoption
• Communicate technical decisions, limitations, risks and operating requirements to technical and non-technical stakeholders

Working Arrangements

• Hybrid working arrangement
• Perth based
• Initial 12-month contract with the possibility of extension
• Opportunity to work on production AI solutions within a large enterprise environment
• Exposure to Microsoft Azure and modern AI technologies
• Work across generative AI, intelligent automation, AI assistants and agent-based solutions
• Opportunity to take AI concepts from prototype through to production
• Work closely with business stakeholders, architects and technology teams
• Opportunity to contribute to the organisation's broader AI transformation
• Exposure to a broad range of cloud, software engineering and AI technologies
• Opportunity to develop reusable AI engineering practices and solutions