Junior Digital Innovation Engineer

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About The Position

The Junior Digital Innovation Engineer supports the R&D team in exploring and prototyping emerging AI/ML capabilities, evaluating new technologies, and investigating improved software development approaches. Working under the guidance of the Team Lead and senior team members, the role scans technology and literature, assists with proof-of-concept prototypes and feasibility spikes, documents findings, and presents experiment results. Independence and technical scope are expected to grow as competence and confidence increase.

The role researches developments in AI/ML, emerging frameworks, and developer tooling; summarizes relevant industry sources; and helps build small-scale experiments using assigned frameworks, APIs, or platforms. It also involves documenting experiment methods and outcomes, presenting recommendations, learning the team's tools and processes, following experimentation and data-handling standards, and acting on feedback to take on progressively larger exploration work.

Requirements

• Bachelor's degree or diploma in Computer Science, Software Engineering, Information Technology, or a related field; alternatively, a completed coding bootcamp or equivalent self-taught portfolio demonstrating comparable practical ability.
• 0–3 years of 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, such as Python, JavaScript/TypeScript, Java, or 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, such as Git, and the software development lifecycle.
• Comfort working with ambiguity and unproven ideas rather than only well-defined delivery tasks.

Responsibilities

• Research and track developments in AI/ML, emerging frameworks, and developer tooling relevant to the product and team's technology stack.
• Summarize articles, papers, vendor releases, and community sources into internal notes; flag technologies and techniques for potential investigation.
• Assist with small-scale proofs-of-concept and feasibility spikes under guidance from the Team Lead or senior team members.
• Implement scoped experimental tasks using assigned frameworks, APIs, or platforms, and set up and tear down experimental environments in a controlled, low-risk manner.
• Escalate technical blockers and scope uncertainty early.
• Document experiment setup, methodology, results, and conclusions, including what worked, what did not, and why.
• Use agreed tools such as Confluence and Jira to track experiments and keep documentation current.
• Present experiment outcomes, explain what was tested and observed, and recommend whether to progress, pivot, or shelve the work.
• Respond to questions about experiment methodology and findings.
• Complete onboarding and learning activities, pair with senior colleagues, build proficiency in core tools and practices, and track learning goals with support.
• Follow experiment processes, tracking conventions, documentation standards, and data-handling, security, and ethical-use guidelines.
• Apply reviewer feedback, participate in retrospectives and knowledge-sharing sessions, and demonstrate improving technical judgment over time.
• Build toward taking on progressively larger and less-supervised exploration work.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level