Data & AI Engineer

Company Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
 
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
 
From prototype to real-world impact - be part of a global shift by doing work that matters.

Job Description

We are seeking a talented and experienced AI Solutions Engineer to join our team. The ideal candidate will design and develop robust, scalable AI solutions addressing complex business challenges. As part of our dynamic team, you will have the opportunity to work with the latest Foundation Models from industry-leading platforms such as OpenAI, Google, Anthropic, and Meta.

Qualifications

- Design, develop, and implement innovative AI solutions that solve business problems, enhance operational efficiency, and drive growth.

- Utilize Foundation Models from top-tier platforms (OpenAI, Google, Anthropic, Meta) to craft intelligent solutions tailored to specific business needs.

- Develop and maintain highly efficient Python code to support AI applications, ensuring best practices in coding and architecture.

- Design and implement agentic frameworks using tools like Autogen, CrewAI, and LangGraph.

- Collaborate with cross-functional teams to integrate AI solutions into existing systems and processes.

- Experience with cloud AI provider such as Azure AI, Bedrock or Vertex AI is a plus.

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

• Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;  
• Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
• Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
• Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
• Health: Global internal wellbeing programme, access to wellbeing apps;
• Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.