Job Description

Job Description

We are looking for a Software Engineer with a strong focus on AI and data science to design, develop, and deploy advanced analytics, machine learning, and AI-driven solutions.

You will work across the full product lifecycle - from proof-of-concept to production - collaborating with cross functional teams to solve real business challenges.

The ideal candidate brings a blend of strong engineering fundamentals and data science expertise, with hands-on experience in Agentic AI frameworks.

Key Responsibilities .

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-ofconcept 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.

What we are looking for .

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 Desk, OPUS, Airbase/Airlift, etc would be advantageous. .
Familiarity with containerisation 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.