Junior Digital Innovation Engineer

• Research and track developments in AI/ML, emerging frameworks, and developer tooling
• Summarise articles, papers, vendor releases, and community sources into internal notes
• Identify technologies, platforms, or techniques that may warrant deeper investigation
• Assist in building proofs-of-concept and feasibility spikes under senior guidance
• Implement scoped experimental tasks using frameworks, APIs, or platforms such as LangChain, Azure OpenAI, and Hugging Face
• Set up and tear down experimental environments
• Escalate technical blockers and scope uncertainty
• Document experiment setup, methodology, results, and conclusions
• Track spikes and outcomes using Confluence and Jira
• Present proof-of-concept and spike outcomes to the team
• Recommend whether experiments should progress, pivot, or be shelved
• Participate in onboarding, pairing, retrospectives, and knowledge-sharing sessions
• Build proficiency with AI/ML tools, frameworks, and experimentation practices
• Follow experimentation, tracking, documentation, data-handling, security, and ethical-use standards
• Apply feedback and demonstrate continuous improvement toward more independent exploration work

• Bachelor's degree or diploma in Computer Science, Software Engineering, Information Technology, or a related field, OR a completed coding bootcamp / equivalent self-taught portfolio demonstrating comparable practical ability
• 0-3 years' professional software development or technical research experience; recent graduates and career-changers with a strong portfolio are welcome
• Working knowledge of at least one modern programming language (e.g., Python, JavaScript/TypeScript, Java, C#)
• Genuine curiosity about emerging technology, AI/ML capabilities, and new development tooling, evidenced through personal projects, coursework, or prior exposure
• Basic understanding of version control (e.g., Git) and the software development lifecycle
• Comfortable working with ambiguity and unproven ideas, rather than only well-defined delivery tasks