AI Engineer

Description

• Lead the development of advanced analytics, machine learning, and AI-driven solutions to address business challenges and generate actionable insights.

• Design, develop, and implement AI products, including applications leveraging Agentic AI frameworks for practical business use cases.

• Build and maintain agents and applications powered by AI, taking solutions from proof-of-concept to production.

• Design, develop, and implement software solutions across frontend and backend systems, incorporating cloud application and data architecture principles.

• Improve development and workflows through automation, reusable components, tooling, and standardised technical engineering practices.

• Conduct comprehensive functional and performance testing using a range of techniques, agents and tools to ensure high-quality solution delivery.

• Collaborate with technology teams on cloud-based agent and application architecture, design, and implementation.

• Analyse business requirements and recommend technology solutions using Agile delivery methodologies.

• Support the end-to-end product lifecycle, including roadmap planning, development, testing, deployment, and continuous enhancement.

• Define non-functional requirements and assess database solutions in compliance with relevant regulations.

• Work closely with cross-functional stakeholders to ensure successful delivery of products and solutions and identify opportunities to apply AI and automation in the business.

Requirements

• Relevant experience in Agentic AI engineering, web application development, data science, or related disciplines.

• Knowledge of AI techniques, including hands-on experience developing and implementing skills, harnesses, MCPs, Agentic AI frameworks in practical applications.

• Familiarity with AI tools, frameworks, and open-source libraries relevant to the field.

• Knowledge of database design, implementation, and management.

• Familiarity with Agile delivery methodologies and cloud computing platforms and services.

• Strong analytical and problem-solving skills, with the ability to translate complex business problems into effective technology solutions.

• Excellent communication and stakeholder management skills, with the ability to collaborate effectively across multidisciplinary teams and explain technical concepts to diverse audiences.

• Experience with commercial AI, workflow, data and data science platforms such as n8n, Northflank, Copilot in Power Automate, Dataiku, Databricks, Snowflake, etc.; or Whole-of-Government AI tools, such as GovTech Desk, OPUS, Airbase/Airlift, etc would be advantageous.

• Familiarity with containerization and orchestration, as well as automated build, test and deployment pipelines.

• Demonstrated commitment to continuous learning and keeping current with the latest developments in AI, data science, and software engineering.