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.
About the Role -
As a Solutions Engineer at Prodigal, you will be responsible for ensuring system reliability, implementing AI-driven NLP models, and automating workflows to enhance efficiency. You’ll work with Python, PySpark, SQL, and Shell scripting, leveraging NLP techniques & LLMs for entity recognition. Additionally, you'll play a crucial role in customer onboarding, collaborating with the Customer Success team to ensure seamless implementation of Prodigal’s solutions for the new customers.
Key Responsibilities -
System & Application Monitoring:
-
- Ensure 99.9% uptime for critical systems and application services by proactively monitoring key subsystems (e.g., data ingestion and publishing pipelines).
- Identify, report, and prioritize bug resolution while proposing robust, scalable solutions.
NLP & AI Implementation:
- Apply NLP techniques and LLMs for entity recognition, including pattern-based approaches (e.g., Regex).
- Benchmark NLP models using LLMs to optimize accuracy and performance.
Process Automation & Internal Tooling:
- Develop internal tools to optimize existing processes and workflows.
- Automate Python notebooks and scripts using shell scripting for efficiency.
Customer Onboarding & Implementation:
- Assist in onboarding new customers across all Prodigal products.
- Collaborate with Implementation Managers (IMs) and Customer Success Managers (CSMs) to ensure successful go-live execution.
Preferred Qualification -
B.Tech, BE, or M.Tech in Computer Science or a related discipline, with at least 2 years of relevant experience.
Technical Skills -
- Strong proficiency in Python scripting and PySpark.
- Expertise in writing complex SQL queries.
- Experience in automation scripting using Shell
- Familiarity with MongoDB databases and Databricks tables.
- Hands-on experience with version control tools (e.g., Git).
- Exposure to GenAI tools, LLMs, and RAG-based applications.
- Work experience in a fast pace start-up is a plus
Mode of Work - In-Office
From day 1, Prodigal has been defined by talented, humble, and hungry leaders and we want this mindset and culture to continue to blossom from top to bottom in the company. If you have an entrepreneurial spirit and want to work in a fast-paced, intellectually-stimulating environment where you will be pushed to grow, then please reach out because we are looking to build a transformational company that reinvents one of the biggest industries in the US.
To learn more about us - please visit the following:
Our Story - https://www.prodigaltech.com/our-story
What shapes our thinking - https://link.prodigaltech.com/our-thesis
Our website - https://www.prodigaltech.com/
Top Skills
Prodigal Mumbai, Maharashtra, IND Office
Mumbai, India
