Collaboration & Delivery: Work with Product Owner, Developers, Quality Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.
AI/ML Literacy: A strong grasp of LLM fundamentals, including tokens, temperature, top-p, and context windows.
Prompt Engineering & Evaluation: Design, optimize, and evaluate prompts to improve AI behavior, reasoning, and response quality.
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You lead through uncertainty: When the path isn't clear, you facilitate the problem-solving discussions that get the team moving.
You think in systems: You see the structural flaws behind the symptoms. You don't just optimise code; you optimise how the organisation solves problems.
Technical Leadership & Solution Ownership: Lead the technical direction of AI initiatives by driving architecture decisions, establishing best practices, mentoring team members, and guiding the end-to-end delivery of scalable AI solutions.
Collaboration & Delivery: Work with Product Owner, Developers, Quality Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.
AI/ML Literacy: A strong grasp of LLM fundamentals, including tokens, temperature, top-p, and context windows.
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Bachelor’s degree in computer science, Software Engineering, Information Technology, or related technical fields.
Minimum 4 years of experience with cloud-based systems (preferably large scale CRM), business process management, and agile methodologies, with demonstrated experience delivering end‑to‑end solutions and usage of AI tools.
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Solid collaboration and communication skills, with the ability to work closely with creative, production, and technical teams in a fast-paced studio environment.
Relevant academic background or equivalent experience in design, multimedia, computer graphics, human-computer interaction, or a related field.
Attention to detail, strong creative problem-solving abilities, and interest in emerging AI and design trends.
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