Associate Software Engineer performing coding and cloud solution tasks at MetroStar. Working in an agile environment supporting development and deployment with a focus on customer interaction.
About the role
- Software Engineering Intern developing AI-enabled tools to improve productivity at Provation. Collaborating with senior engineers and contributing to automation and AI integration initiatives.
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).
Requirements
- 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.
- 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).
Benefits
- Collaborate with engineers and partners to understand requirements and deliver working solutions
- 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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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