AI Engineer

Job Summary

Lead the design and development of AI-driven solutions and applications, leveraging Agentic AI frameworks and cloud technologies to solve business challenges and deliver impactful, production-ready products.

Responsibilities

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

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

Build and maintain AI-powered agents and applications, advancing solutions from proof-of-concept to production deployment

Design and implement software solutions across frontend and backend systems, applying cloud application and data architecture principles

Automate development workflows by creating reusable components, tooling, and standardizing engineering practices

Conduct comprehensive functional and performance testing using diverse techniques and tools to ensure high-quality delivery

Collaborate with technology teams to architect, design, and implement cloud-based agents and applications

Analyze business requirements and recommend technology solutions using Agile delivery methodologies

Support the full product lifecycle including roadmap planning, development, testing, deployment, and continuous improvement

Define non-functional requirements and evaluate database solutions ensuring regulatory compliance

Work closely with cross-functional stakeholders to deliver successful products and identify opportunities for AI and automation integration

Required competencies and certifications

Experience in Agentic AI engineering, web application development, data science, or related fields

Practical knowledge of AI techniques and hands-on experience developing and implementing skills, harnesses, MCPs, and Agentic AI frameworks

Familiarity with AI tools, frameworks, and relevant open-source libraries

Knowledge of database design, implementation, and management

Experience with Agile delivery methodologies and cloud computing platforms and services

Strong analytical and problem-solving skills to translate complex business problems into effective technology solutions

Effective communication and stakeholder management skills to collaborate across multidisciplinary teams and explain technical concepts clearly

Preferred competencies and qualifications

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

Familiarity with containerization, orchestration, and automated build, test, and deployment pipelines

Demonstrated commitment to continuous learning and staying current with AI, data science, and software engineering advancements