Sprinto is an AI-native GRC platform that helps organisations manage risks, audits, vendor oversight, and continuous monitoring from a single connected platform. With a team of
350+ employees serving
3,000+ customers across
75+ countries, Sprinto combines scale with expertise to deliver trust and compliance. Backed by top-tier investors such as Accel, Elevation, and Blume Ventures, we've
raised$31.8M in funding to fuel our mission. Trusted by leading organisations including Whatfix, Anaconda, Ultrahuman, WeWork, AI Foundation, and HackerRank, Sprinto supports
300+ integrations and
200+ global security standards, including SOC 2, ISO 27001, GDPR, HIPAA, and PCI-DSS.
Founded in 2020 by second-time entrepreneurs Girish Redekar and Raghuveer Kancherla, Sprinto is recognised as a
Leader on G2 in Compliance Automation and has been named a
LinkedIn Top Startup multiple years in a row.
Sprint With Sprinters
At Sprinto, your work has purpose and your life has space. We are a workplace where you're empowered to execute on your most ambitious ideas and deliver your best output in a fast-paced, innovative, and supportive environment.
Joining Sprinto means you will never run alone; you will always have the freedom to take your shot and the support to go farther than you imagined.
What The Role Involves
We are seeking a motivated AI Engineering Intern to support the development and enhancement of our AI-powered solutions. In this internship, you'll have the opportunity to contribute to Sprinto's AI infrastructure, assist in optimizing systems, and gain hands-on experience with machine learning and AI technologies. Working alongside experienced engineers, data scientists, and product teams, you'll help create efficient data pipelines and developer tools that enable innovative AI-driven solutions.
What Your Impact Will Look Like:
- Assist engineering teams in identifying and solving challenges related to AI development, focusing on improving efficiency and usability
- Support the development and optimization of AI infrastructure, including pipelines for model training and evaluation
- Contribute to the development and improvement of centralized AI services, such as document parsing, search tools, and integration of large language models (LLMs)
- Help evaluate system performance and participate in proposing solutions for optimization
- Actively participate in team discussions, fostering a collaborative and innovative learning environment
What You'll Bring To The Team:
- Currently pursuing a degree in Computer Science, Engineering, Data Science, or a related technical field
- Basic understanding of machine learning concepts, data processing, and AI technologies
- Experience with Python and familiarity with frameworks like TensorFlow, PyTorch, or similar.Strong problem-solving skills and a willingness to learn quickly
- Excellent communication skills and ability to work collaboratively in a team setting
Preferred:
- Experience or coursework in software development and data engineering
- Familiarity with cloud services like AWS, GCP, or Azure
- Interest in developing scalable AI systems and services
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
