At Prodigal, we are building AI Agents for loan servicing and collections. Founded in 2018 by IITB alumni, our journey began when our founders Shantanu and Sangram faced the antiquated the $13B+ lending/collections industry was mostly using pen and paper and decided to build the first real intelligence layer for debt recovery.
Today, we stand at the forefront of a seismic shift in the industry, building Agentic AI applications for loan servicing and collections. Powered by our cutting-edge platform, Prodigal’s Intelligence Engine (PIE), we’re creating the next-generation agentic workforce - one that empowers companies to achieve unprecedented levels of operational excellence and intelligence.
With over 100+ enterprise customers across North America and backing from Y Combinator, Accel and Menlo Ventures, we are the fastest growing AI company in consumer finance.
We're hiring a Lead Engineer for the ML team to work on primarily work on PIE and work on the intelligence systems that power our ecosystem of applications that we are building. You'll work alongside a small, high-agency team where you will have real ownership over features and components from day one.
This is a hands-on engineering role. You'll be deep in the code - design intelligent systems, building model, fine tuning & integrating LLMs, speech models, tuning prompts, and debugging gnarly real-time issues. You don't need to have done all of this before, but you need to be the kind of engineer who figures things out fast, takes feedback well, and ships.
If you're interested in leading a world-class team of engineers and researchers to work on exciting projects that have a significant impact, we encourage you to apply.
Responsibilities:- Partner with the CTO to lead long-term technical vision and roadmap for Machine Learning
- Design and develop Machine learning products and services leveraging AI (LLMs, Agentic AI, classical ML, the modern NLP stack, etc)
- Architect and implement data pipelines for ML model training. Lead scalable software systems development to deploy ML models into production systems, ensuring high performance and reliability.
- Suggest, collect, and synthesize requirements and create an effective feature roadmap
- Stay updated on ML research and the ever-changing AI landscape, identifying opportunities for innovation.
- Effectively collaborate with cross-functional teams to deliver high-quality solutions on time. Guide team members in contributing to ML design discussions for new projects.
- Extensive experience, 6+ years in software development, with a focus on machine learning and data science in a product company.
- Proven track record of delivering high-quality ML products in a fast-paced, agile environment.
- Deep understanding of machine learning algorithms with hands-on experience in developing and deploying machine learning models at scale.
- High bias for action - you don't wait to be told exactly what to do, and you push yourself to ship rather than over-engineer.
- Strong communication and leadership skills, with the ability to effectively collaborate with cross-functional teams and mentor junior engineers.
- AI first – We proud ourselves in building an ecosystem of AI applications for consumer finance, shape the AI roadmap of Prodigal with groundbreaking projects that redefine consumer finance intelligence.
- World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of Palantir, Tower Resarch, PhonePe, Salesforce, Meta, Amazon, Blackstone, BCG, Deloitte, EY, and are IIT, IIM, BITS alumnus.
- Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
- Food at the office - Meals are on us. We won't let your stomach grumble while you hustle.
- Health insurance - Health always comes first. The health of your family is as important to us as it is to you. We offer insurance coverage for both you and your family.
- Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation here. Because a rested, relaxed, and refreshed mind is a happy and effective mind.
- Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions, and challenge each other to do those extra push-ups or chug that 4th drink (of course, that’s Nimbu Pani).
Meet Sangram - (Cofounder and CTO) and hear his vision for Prodigal below (01:38)
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/
Skills Required
- 6+ years in software development with focus on machine learning and data science in a product company.
- Proven track record of delivering high-quality ML products in a fast-paced, agile environment.
- Hands-on experience developing and deploying machine learning models at scale; deep understanding of ML algorithms.
- Experience with LLMs, agentic AI, modern NLP stack, speech models, model fine-tuning, prompt tuning, and integrating models into production.
- Experience designing and implementing data pipelines for ML model training and scalable model deployment.
- Strong communication and leadership skills, with ability to mentor and guide junior engineers.
- High bias for action; ability to ship and iterate rather than over-engineer.
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What We Do
Prodigal is a pioneer of Collection & Servicing Intelligence, a new category of AI software, which enables banks, lenders and collection agencies of all sizes to quickly and efficiently collect accounts receivables. Our cloud-native, Collection & Servicing Intelligence platform delivers actionable insights for banks, lenders, and ARM agencies to maximize revenue, optimize operations, and minimize compliance risk. Prodigal delivers artificial intelligence and machine learning capabilities to lenders and ARM agencies. Prodigal restores value from accounts past due and improves servicing productivity while retaining customer loyalty. We empower entire teams from executive leadership to representatives with data and insights needed to segment and prioritize accounts, to enhance portfolio yield, and to address procedural and legal (TCPA, FDCPA, UDAAP, ...) non-compliance. With our Collection & Servicing Intelligence Platform, senior executives have complete intelligence about expected liquidation, aggregated agent productivity, and FDCPA/TCPA non-compliance in real-time — an imperative for a modern collections business in an increasingly regulated environment. Prodigal is headquartered in the heart of Silicon Valley (Sunnyvale, CA) and is founded by industry veterans with deep expertise in financial services, predictive modeling, speech AI and core engineering. Our investors include top tier investors like Menlo Ventures, Accel andY Combinator. Prodigal has been featured in TechCrunch, American Banker, CBS News, Fortune, insideARM and other leading technology and financial services news sites.
