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