About Prodigal:
At Prodigal, we believe in transforming the future of consumer finance by bridging the gap between lenders, debt collectors, and consumers. Founded in 2018 by IITB Alumnus, our journey began with a single mission: to alleviate the pain and confusion often associated with lending and collections. We have since pioneered the concept of consumer finance intelligence, setting a new standard in the industry.
Our innovative approach combines advanced generative AI, meticulously trained on over 400 million consumer finance conversations, with strategies to maximize payments and enhance the consumer experience.
We are not just building technology—we are creating intelligent solutions that empower lenders, debt collectors, and consumers alike. Be part of a team that is reshaping the industry, one conversation at a time.
Title: Solution Engineering Intern
What will you be doing?
- Ensure 99.9% uptime of systems and application services by proactively monitoring important subsystems.
- Monitor and raise the bugs and get those solved on priority, and come up with robust solutions.
- Create Internal tools to optimize existing processes and workflows.
- Onboard new customers on all products offered by Prodigal. Work with IM and CSMs to meet go live dates.
- Handling day to day customers’ requests and updating the product configuration as required.
- Taking ownership of the work and delivering it with high accuracy.
What are we looking for in you?
- Strong proficiency in Python, SQL. (Mandatory Skills)
- Knowledge of Pyspark, MongoDB and shell scripting. (Good to have)
- Hands-on experience with version control tools e.g., Git. (Good to have)
- Familiarity with GenAI tools and LLMs.
- A Bachelor’s degree in a quantitative field such as Computer Science or a related discipline.
Interview Process:
- Introduction Video – Explain briefly about yourself and projects (focus more on this part) that you feel are relevant to this job profile.
- Practical Assignment
- Assignment Review round
- Cultural Fit Round
