Why This Job is Featured on The SaaS Jobs
This internship stands out in the SaaS landscape because it is framed around production reliability and workflow latency, two pressures that become more visible as SaaS platforms integrate with external systems and serve time sensitive customer journeys. The work described connects engineering output to measurable downstream impact, while also reflecting a broader shift in SaaS toward AI assisted operations and AI embedded product tooling.
For someone building a SaaS engineering career, the role offers early exposure to the mechanics that typically differentiate mature SaaS teams from early prototypes: observability, incident response, platform foundations, and reusable infrastructure. The team options also map to common SaaS specializations, from microservices and API design to data pipelines and applied ML patterns such as RAG, giving interns a chance to learn how modern SaaS organizations ship, monitor, and iterate on systems that other teams depend on.
This role is best suited to interns who want hands on experience with real production constraints and who can be effective in a structured, in office cadence. It fits candidates who enjoy problem decomposition, cross system debugging, and learning new tooling quickly, especially those curious about where AI meaningfully improves engineering productivity.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the roles
Checkr is looking for Summer 2026 Engineering Interns to join us for 10 weeks and work on high-value engineering projects that will deliver real-world impact to our customers, candidates, and engineering organization. Inevitably, issues arise within Checkr and external systems, prolonging the background check process which delays candidate's access to employment, housing, and financial opportunities. When you join our team, you will learn how to leverage AI as a productivity enhancer and how to deliver AI-integrated solutions to improve issue visibility, increase system resiliency, and create powerful tools that enable non-Engineering stakeholders to unblock candidates.
Checkr’s internship program is an amazing opportunity for anyone who is pursuing a career in software development and wishes to learn from a diverse cultural perspective. We are looking for candidates who have a strong understanding of engineering principles and who are interested in learning about generative AI and system scalability. Our interns will embody Checkr’s core values of grit, ownership, humility, transparency, and connection as you push to deliver value over the summer.
We’re hiring across 5 engineering teams:
- Software Engineering: gain experience in enhancing systems to streamline operations, improve resilience, and develop tools that empower stakeholders. Learn about Ruby, React, automation, and scalability.
- Product Foundations: gain experience building platform capabilities in high-throughput microservices that will be used throughout the Checkr ecosystem. Learn about microservices architecture, API design, database optimization, service scalability, and building reusable infrastructure components that power multiple teams and services.
- Platform Engineering: gain experience in finding ways to increase automation in incident response and cloud infrastructure. Learn about AWS, containers, Infrastructure as Code (IaC), CI/CD, incident response, observability, and AI tools.
- Data Engineering: gain experience working on production-grade data pipelines and make a meaningful impact on how we ship analytics code at Checkr. Learn how top startups build and innovate upon a modern data tech stack of Airflow, dbt data modeling, Infrastructure as Code (IaC), Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs).
- AI/ML Engineering: gain experience working on ML, AI, observability, fine-tuning, and RAG, while defining success metrics. Learn about how top startups build scalable ML/AI models, Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs), and dataset splitting strategies.
What we value in an intern:
- Familiarity with Ruby, Python, and/or SQL
- Enthusiasm and interest in AI
- Strong problem-solving skills, attention to detail, and pride in your work
- Self-awareness and a desire to better yourself
- Curiosity about how and why things work
- Recently completed or are graduating in Spring 2025 with a Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field
Interns are expected to work from the Denver office 4 days a week.
We are not able to provide sponsorship for internship roles.
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