At Prodigal, we are building AI Agents for loan servicing and collections. 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. We are backed by Y Combinator, Accel and Menlo Ventures.
Today, we stand at the forefront of a seismic shift in the industry, building Agentic AI applications for consumer finance. 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 half a billion consumer finance interactions processed and a growing impact on more than 100 leading companies across North America, we’ve established ourselves as the go-to partner for organizations that demand more from their AI solutions. Our unparalleled experience, coupled with our trusted customer relationships, uniquely positions us to build Agentic AI applications 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.
This is a hands-on internship for someone who wants to learn how enterprise AI actually gets deployed, in production, not in theory.
You'll work on enterprise accounts and learn how customers' businesses really run, their call flows, agent talk-tracks, compliance constraints, and the telephony, payment, and CRM systems behind them, and to figure out where an AI agent can take over work that people do today. You'll help translate that understanding into precise designs for how the agent should think, speak, and behave, then validate that it performs the way it should before it ever touches a live call.
It's demanding, high-ownership work, and it's designed as a pathway to a full-time AI Deployment role based on performance.
Internship Duration - 4 months
Mode - In person (Powai, Mumbai)
The Stipend - INR 40,000/month + Food & Travel
What You'll Do
Understand the Customer's Business
- Study how each customer's collections or servicing operation actually runs: call flows, agent scripts, compliance requirements, and the systems they rely on
- Learn the domain well enough to tell what matters and what doesn't in a given workflow
Identify Where Agentic AI Fits
- Map current human workflows step by step and pinpoint where an AI agent can replace or augment them
- Help translate that into call flow diagrams and interaction maps that define how the agent should behave across every scenario
- Turn ambiguous, messy customer reality into clear, actionable inputs for Prodigal’s engineering team.
Validate the Agent Performs
- Run structured test calls to confirm the agent behaves the way the design intended across happy paths, edge cases, and adversarial scenarios
- Document gaps clearly enough for an engineer to act on, and support the test → flag → retest → validate loop
Drive Momentum
- Keep every deployment moving by owning the milestones, follow-ups, and loose ends that decide whether a go-live lands on time, and clearing blockers before they become problems
- Stay relentlessly on top of things for the customer: responsive, reliable, and a step ahead, so they always trust their deployment is in good hands
Post-Go-Live Success
- Track agent KPIs after launch, surface issues early, and log bugs backed by concrete examples
- Ensure strong adoption and usage, while delivering success and value realisation for the customer(s).
- Final-year student or recent graduate (Voice AI domain knowledge is preferred)
- Genuinely curious about how a business works under the hood, quick to learn an unfamiliar domain, and motivated by solving real business problems rather than just analyzing them
- You understand how modern AI agents actually work: you have a practical sense of why an LLM-based agent behaves the way it does, where it breaks, and how prompts and configuration shape its behaviour. Bonus if you've built something hands-on with AI tools
- Comfortable reading a basic integration spec and holding a credible technical conversation; you don't need to be an engineer, but you need to be technical
- You anticipate problems before they surface, and you notice the one scenario nobody thought to check
- You thrive in ambiguity and figure things out without waiting to be told how
- Willing to work some overlap with US time zones, since our customers are North American
- Bonus, not required: exposure to voice AI or conversational AI, or interest in the US consumer finance / debt collections industry
- How AI agents go from demo to production in one of the most regulated, high-stakes industries in the US
- How to read a business and decide what AI can and can't take over
- How to design and validate AI systems that are safe, compliant, and measurable
- How enterprise telephony, payment infrastructure, and compliance requirements shape what AI can do in the real world
- How a high-performing deployment function runs, day to day
- World-class team: Our team includes alumni of BCG, Blackstone, Meta, Amazon, Deloitte and EY,, and graduates of IIT, IIM, and BITS. You'll be pushed by people who are genuinely exceptional at what they do.
- Continuous learning: We sponsor training, courses, books, and certifications. If you make a compelling case for something, we'll back it.
- Health insurance: Full coverage for you and your family.
- Flexible schedule: We trust you to manage your time. We care about outcomes, not clock-in times.
- Generous leave: No cap on vacation. A rested mind is an effective mind.
- Food at the office: Meals are on us.
- Recreation and team activities: Football, table tennis, cooking sessions, and the occasional Nimbu Pani challenge.
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
- Final-year student or recent graduate
- In-person work in Powai, Mumbai for 4-month internship
- Practical understanding of LLM-based agents and how prompts/configuration shape behavior
- Comfortable reading basic integration specs and holding credible technical conversations
- Willingness to work overlap with US time zones
- Voice AI / conversational AI domain knowledge
- Exposure or interest in US consumer finance / debt collections industry
- Curiosity about business operations and ability to learn domain quickly
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.
