Software Engineering Intern – AI Enablement at Fluke… · 533 S.…

Summary: Fluke Corporation is a global industrial technology innovator that accelerates transformation across various applications. The Software Engineering Intern – AI Enablement will support the design and delivery of AI-enabled tools and automation to improve productivity and AI adoption, working under senior engineers to enhance internal software tools and collaborate with stakeholders. Responsibilities: - Assist with building and enhancing internal software tools that support AI enablement initiatives, under senior guidance - Write, test, and debug code for well-defined features and automation tasks - Apply object-oriented programming fundamentals and software design patterns as part of day-to-day development work - Support cloud-based development activities related to internal AI tooling and reporting (e.g., services, scripts, or integrations) - Gain exposure to CI/CD and basic deployment concepts for internal tools (build, release, versioning, environment awareness) - Contribute to automation work such as migrating manual tasks into scheduled jobs where applicable - Follow secure coding practices and team standards, including responsible handling of data and access as required by the team’s environment - Build awareness of healthcare privacy concepts and interoperability standards as relevant to the systems and workflows your tooling may touch - Contribute to initiatives that track and improve AI usage, including helping build a single view of AI adoption and ROI across tools - Support the improvement of internal AI enablement assets (e.g., expanding an AI developer repository into a more turnkey installation/adoption experience) - Develop familiarity with AI/ML concepts and how AI-enabled solutions are embedded into real workflows (prototyping and scaling concepts as exposure allows) - Collaborate with engineers and partners to understand requirements and deliver working solutions incrementally - Participate in agile team routines (standups, planning, demos) and communicate progress, risks, and learnings - Contributes to documentation and enablement artifacts (how-to notes, setup steps, basic runbooks) to help others adopt and sustain solutions Required Qualifications: - Currently pursuing a Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field. Graduating December 2026 or later - Internship, academic, or project experience in software development (coursework, capstone, research, or personal projects) - Interest in AI enablement, automation, developer tooling, or analytics/measurement (adoption, usage, ROI) is strongly preferred - Assist with building and enhancing internal software tools that support AI enablement initiatives, under senior guidance - Write, test, and debug code for well-defined features and automation tasks - Apply object-oriented programming fundamentals and software design patterns as part of day-to-day development work - Support cloud-based development activities related to internal AI tooling and reporting (e.g., services, scripts, or integrations) - Gain exposure to CI/CD and basic deployment concepts for internal tools (build, release, versioning, environment awareness) - Contribute to automation work such as migrating manual tasks into scheduled jobs where applicable - Follow secure coding practices and team standards, including responsible handling of data and access as required by the team's environment - Build awareness of healthcare privacy concepts and interoperability standards as relevant to the systems and workflows your tooling may touch - Contribute to initiatives that track and improve AI usage, including helping build a single view of AI adoption and ROI across tools - Support the improvement of internal AI enablement assets (e.g., expanding an AI developer repository into a more turnkey installation/adoption experience) - Develop familiarity with AI/ML concepts and how AI-enabled solutions are embedded into real workflows (prototyping and scaling concepts as exposure allows) - Collaborate with engineers and partners to understand requirements and deliver working solutions incrementally - Participate in agile team routines (standups, planning, demos) and communicate progress, risks, and learnings - Contributes to documentation and enablement artifacts (how-to notes, setup steps, basic runbooks) to help others adopt and sustain solutions Preferred Qualifications: - Programming Languages: Python, JavaScript, or Java (TypeScript a plus) - Cloud Platform Exposure: Familiarity with AWS or Azure; exposure via labs/projects acceptable - Version Control & Collaboration Tools: Git/GitHub; familiarity with Jira or similar tools - Automation & Scheduling Concepts: Comfort building repeatable scripts or automations; interest in turning manual tasks into scheduled jobs - Documentation/Enablement Mindset: Ability to write clear setup steps or lightweight guides that help others adopt tools - AI Awareness: Exposure to AI/ML fundamentals and/or interest in practical LLM/automation use cases (not required, but helpful) Required Skills: Python, JavaScript, Java, TypeScript, Cloud Platforms, AWS, Azure, Git, GitHub, Jira, Automation, Scheduling, AI/ML Fundamentals, Software Development, Object-Oriented Programming, Software Design Patterns, Healthcare Compliance