Company Description
At NCS Australia, we believe in doing technology services better. Our commitment to quality, focus on people, and willingness to challenge traditional thinking set us apart. Our team brings this belief to life by partnering with our clients and communities to make tomorrow together.
We are committed to creating an environment that prioritises innovation, collaboration, and purposeful work. Our diverse team is empowered to make a meaningful impact with curiosity, creativity and resilience to shape better outcomes. Join us and accept the challenge of creating a better tomorrow.
Job Description
As a Generative AI Engineer, you will work directly with NCS Australia’s clients to solve their most complex challenges. Your primary focus will be the hands-on, end-to-end delivery of bespoke AI solutions. This involves designing and developing intelligent agents, implementing sophisticated Retrieval-Augmented Generation (RAG) patterns with, and building the robust data pipelines and APIs needed to support these applications using services.
Beyond pure development, this role requires you to ensure the operational excellence and strategic success of your solutions. You will implement CI/CD workflows, monitor model performance, and act as a trusted technical advisor to our clients. A key part of your role will be presenting compelling Proof of Value demonstrations and clearly communicating the business impact of your technical work to a diverse range of client stakeholders
As a Generative AI Consultant, you will be at the very forefront of our clients transformation journey, working with cutting-edge technology to solve complex, real-world problems and delivering tangible impact for our clients.
Qualifications
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Generative AI & Frameworks: Solid, hands-on experience building advanced AI solutions using Retrieval-Augmented Generation (RAG) patterns, with practical skills in frameworks like LangChain, LangGraph, CrewAI, and platforms such as the Google AI Development Kit.

• Cloud-Agnostic Application Development: A proven track record of building and deploying production-quality solutions in Python on major cloud platforms (AWS, GCP, Azure), utilising services like serverless computing, data pipelines, and API gateways.
• MLOps & Automation: Experience implementing MLOps principles and automated CI/CD pipelines to deploy, monitor, and maintain the performance and health of machine learning models in production.
• Client Communication & Stakeholder Engagement: An exceptional ability to communicate complex technical concepts clearly and effectively to a range of audiences, from technical teams to non-technical business stakeholders.
• Requirements Translation & Problem-Solving: A proven ability to get to the heart of client business challenges and translate their needs into practical functional and technical requirements for AI solutions.
• Technical Presentations & Demos: Confidence in presenting technical architecture and delivering compelling Proof of Value (PoV) demos that clearly showcase a solution’s capabilities and business impact.
• Collaboration & Professional Credentials: A genuine team player who thrives on collaboration, with professional cloud certifications (e.g., AWS, GCP, Azure) in architecture, development, or machine learning being highly regarded.

Additional Information

Please refer the Job description for details