The AI Engineer role involves applying AI tools to optimize IT support workflows, improve user experiences, and develop intelligent solutions in End User Services/Infrastructure.
Say hello to possibilities.
It’s not every day that you consider a new opportunity. We’re RingCentral, and we’re happy that someone as talented as you are considering this role.
First, a little about us, we’re the global leader in cloud-based communications and collaboration software. We are fundamentally changing the nature of human interaction—giving people the freedom to connect powerfully and personally from anywhere, at any time, on any device.
The stack used is Java, Jetty, Spring Boot, Nginx, MongoDB, Apache Kafka, GridGain (Apache Ignite), Amazon Aurora, ELK, Docker, Kubernetes, TICK.
We’re a $2 billion company that’s growing at 30+% annually and we’re expanding our Product Management Team to make sure we stay ahead of the competition.
Please use this link to watch a video about RingCentral: RingCentral Video
About RingCentral
RingCentral is a prominent global innovator in cloud communication and collaboration solutions. We are deeply committed to Artificial Intelligence (AI), leveraging it to enhance customer experiences, streamline operations, and uncover new insights across our product portfolio. This strategic emphasis on AI drives efficiency, fosters innovation, and secures our competitive advantage.
Job Description
RingCentral is seeking recent college graduates with a strong interest in AI, IT operations, and problem-solving to join our IT End User Services (EUS) / Infrastructure team as AI-focused Interns. This role offers a unique opportunity to learn the foundations of End User / Infrastructure IT Services while applying AI tools and methodologies to develop intelligent solutions that optimize support workflows, improve user experiences, and deliver actionable insights from service data.
Interns will gain exposure to enterprise IT operations while contributing to impactful AI initiatives—ranging from process automation, predictive analytics, and AI-driven self-service support, to enhanced onboarding and incident management experiences.
Responsibilities:
- Gain a deep understanding of IT End User Services / Infrastructure processes, systems, and pain points through hands-on learning and cross-functional collaboration.
- Identify opportunities where AI can improve operational efficiency, user satisfaction, or data-driven decision-making within EUS / Infrastructure.
- Design, prototype, and implement AI-enhanced solutions, such as automation bots, natural language query tools, or predictive support models.
- Collaborate with IT Engineers, data analysts, and AI teams to integrate machine learning models, LLMs, or automation tools into support operations.
- Drive improvements in onboarding, asset management, incident triage, and remote support through intelligent workflows.
- Leverage AI platforms (e.g., ChatGPT, automation frameworks, service intelligence dashboards) to augment support capabilities and reduce manual workload.
- Maintain documentation of AI solutions, project outcomes, and lessons learned.
- Participate in daily IT support functions, site operations, and escalations, with a focus on identifying areas for automation or optimization.
Qualifications and Skills:
- Bachelor's degree in Information Technology, Computer Science, Data Science, Business Information Systems, or a related field.
- Experience with 3 to 5 years exposure to scripting languages (e.g., Python, PowerShell) or RPA tools (e.g., UiPath)
- Experience with ITSM tools like Jira, or Freshservice.
- Strong interest in AI, automation, and digital transformation.
- Familiarity with AI tools or frameworks such as ChatGPT, Microsoft Copilot, or similar technologies is a plus.
- Problem-solving mindset with an eagerness to learn about IT support infrastructure and business operations.
- Comfortable working with diverse technologies: Windows/macOS, SaaS apps, mobile devices, networking, and A/V systems.
- Excellent communication, collaboration, and documentation skills.
- Self-starter with a passion for experimenting, learning, and applying new ideas in a fast-paced environment.
Top Skills
Amazon Aurora
Apache Kafka
Chatgpt
Docker
Elk
Freshservice
Gridgain
Java
Jetty
JIRA
Kubernetes
Microsoft Copilot
MongoDB
Nginx
Powershell
Python
Spring Boot
Tick
Uipath
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