Solution Engineer
Solution Engineer
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Job Description
At Prodigal were reshaping the future of consumer finance. Founded in 2018 by IITB alumni our journey began with one bold mission: to eradicate the inefficiencies and confusion that have plagued the lending and collections industry for decades.
Today we stand at the forefront of a seismic shift in the industry pioneering the concept of consumer finance intelligence. Powered by our cuttingedge platform Prodigals Intelligence Engine were creating the nextgeneration agentic workforce for consumer financeone that empowers companies to achieve unprecedented levels of operational excellence.
With over half a billion consumer finance interactions processed and a growing impact on more than 100 leading companies across North America weve established ourselves as the goto partner for organizations that demand more from their AI solutions. Our unparalleled experience coupled with our trusted customer relationships uniquely positions us to build generative AI solutions that will revolutionize the future of consumer finance.
At Prodigal we are driven by a singular unrelenting purpose: to transform how consumer finance companies engage with their customers and in turn drive successful outcomes for all.
About the Role
As a Solutions Engineer at Prodigal you will be responsible for ensuring system reliability implementing AIdriven NLP models and automating workflows to enhance efficiency. Youll work with Python PySpark SQL and Shell scripting leveraging NLP techniques & LLMs for entity recognition. Additionally youll play a crucial role in customer onboarding collaborating with the Customer Success team to ensure seamless implementation of Prodigals 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 patternbased 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 golive .
Preferred Qualification
BE or 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.
- Handson experience with version control tools (e.g. Git).
- Exposure to GenAI tools LLMs and RAGbased applications.
- Work experience in a fast pace startup is a plus
Mode of Work InOffice
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 fastpaced intellectuallystimulating 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:
Employment Type
Full Time
Key Skills
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