AI Software Engineer

<ul>
<li>Lead the development of advanced analytics, machine learning, and AI-driven solutions to address business challenges and generate actionable insights.</li>
<li>Design, develop, and implement AI products, including applications leveraging Agentic AI frameworks for practical business use cases.</li>
<li>Build and maintain agents and applications powered by AI, taking solutions from proof-of-concept to production.</li>
<li>Design, develop, and implement software solutions across frontend and backend systems, incorporating cloud application and data architecture principles.</li>
<li>Improve development and workflows through automation, reusable components, tooling, and standardised technical engineering practices.</li>
<li>Conduct comprehensive functional and performance testing using a range of techniques, agents and tools to ensure high-quality solution delivery.</li>
<li>Collaborate with technology teams on cloud-based agent and application architecture, design, and implementation.</li>
<li>Analyse business requirements and recommend technology solutions using Agile delivery methodologies.</li>
<li>Support the end-to-end product lifecycle, including roadmap planning, development, testing, deployment, and continuous enhancement.</li>
<li>Define non-functional requirements and assess database solutions in compliance with relevant regulations.</li>
<li>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.</li>
</ul><h2>Requirements</h2><ul>
<li>Relevant experience in Agentic AI engineering, web application development, data science, or related disciplines.</li>
<li>Knowledge of AI techniques, including hands-on experience developing and implementing skills, harnesses, MCPs, Agentic AI frameworks in practical applications.</li>
<li>Familiarity with AI tools, frameworks, and open-source libraries relevant to the field.</li>
<li>Knowledge of database design, implementation, and management.</li>
<li>Familiarity with Agile delivery methodologies and cloud computing platforms and services.</li>
<li>Strong analytical and problem-solving skills, with the ability to translate complex business problems into effective technology solutions.</li>
<li>Excellent communication and stakeholder management skills, with the ability to collaborate effectively across multidisciplinary teams and explain technical concepts to diverse audiences.</li>
<li>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.</li>
<li>Familiarity with containerization and orchestration, as well as automated build, test and deployment pipelines.</li>
<li>Demonstrated commitment to continuous learning and keeping current with the latest developments in AI, data science, and software engineering.</li>
</ul>