---
title: 'Agent Engineer at Prodigal'
canonical: 'https://feeny.ai/job/agent-engineer-prodigal-mumbai-2w825sfrevc4'
type: 'job'
last_seen: '2026-09-13'
---

# Agent Engineer at Prodigal

- **Company:** Prodigal
- **Location:** Mumbai, India
- **Posted:** 2025-02-13
- **Last confirmed live:** 2026-09-13
- **Apply:** https://job-boards.greenhouse.io/prodigal/jobs/4651355007

## Job description

## About Prodigal

Prodigal is the connected AI platform leading financial institutions use to run their operations.

We work with banks, lenders, credit unions, and other financial companies that lend money to people and manage those relationships over time.

These institutions make millions of high-stakes decisions every day. Who should they reach? When should they reach them? What should they say or offer? When should a case move to a human? How should that change based on the borrower, the account, previous interactions, and the regulations involved?

Getting those decisions right requires a deep understanding of the people, processes, rules, and edge cases behind them.

Prodigal has spent the last eight years building that understanding. More than a billion interactions between financial institutions and their customers have shaped the intelligence, guardrails, and AI agents we now run in production across North America.

Today, our AI agents analyze conversations, capture context, guide human agents, decide the next action, conduct customer conversations, orchestrate outreach, and help people complete payments and resolutions. They are connected, so what is learned in one interaction can inform what happens next.

We are expanding this swarm of AI agents across more of the work financial institutions do: originations, document processing, back-office workflows, servicing, and other critical operations where money, identity, people, and regulation intersect.

We are backed by Y Combinator, Accel, and Menlo Ventures, and work with 100+ financial institutions across North America. Listen directly from our CTO, Cofounder - Sangram Raje

## What You’ll Do

- Build and deploy LLM-powered AI agents (including voice agents) in production, designed for real-world use cases
- Own the end-to-end lifecycle of AI systems — from problem scoping and design to deployment, monitoring, and continuous iteration
- Design and optimize prompts, RAG pipelines, and evaluation frameworks to improve accuracy, latency, and reliability
- Work directly with customers and Implementation Managers (IMs) to understand workflows, solve real-world problems, and drive successful go-lives and iterations

## What We’re Looking For

- 1–3 years experience in backend / data / AI engineering
- Strong in Python + SQL
- Experience or exposure to LLMs, RAG, or prompt engineering
- High ownership, ability to work in ambiguity and ship fast
- Comfortable working with customers and cross-functional teams

## Preferred Qualification

- B.Tech, BE, or M.Tech in Computer Science or a related discipline, with 1–3 years of relevant experience

Bonus

- Experience with production LLM systems / AI agents
- Familiarity with evaluation, agent tooling, or voice AI
- Experience with Databricks, MongoDB, or distributed systems
- Startup or customer-facing engineering experience

## Why This Role

- Work on real production AI systems (not demos)
- End-to-end ownership and fast iteration cycles
- Direct impact on enterprise customers and business outcomes

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)- https://www.prodigaltech.com/our-story

[What shapes our thinking](https://prodigaltech.notion.site/What-Shapes-Our-Thinking-908a433f080c4944bc48dd70ff60cf36?pvs=4) - https://link.prodigaltech.com/our-thesis

[Our website](https://www.prodigaltech.com/) - https://www.prodigaltech.com/

## About Prodigal

## Company Overview
- **One-liner**: Prodigal builds specialized AI agents and an intelligence platform for the lending and debt collections industry, helping consumer finance teams transition to AI-native operations.
- **Entity Type**: Private (Series A, raised from Accel and Menlo Ventures)
- **Headquarters**: Mountain View, California, USA (with a significant office in Mumbai, India)
- **Founded**: 2018
- **Founders**: Shantanu Gangal (CEO & Co-Founder) and an undisclosed CTO & Co-Founder

## Core Business
- **Primary industries**: Consumer finance – specifically loan servicing, debt collections, and consumer lending.
- **Target customers**: B2B – banks, credit unions, fintech lenders, and third-party collection agencies (mid-market and enterprise).
- **Mission / purpose**: Accelerate the shift to AI-native consumer finance by building an agentic workforce that transforms how lending and collections teams operate.

## Products & Services
- **Prodigal Intelligence Engine (PIE)**: A unified platform for seamless context transfer across all agentic applications in consumer finance.
- **AI Co‑pilot**: Automated note‑taking and real‑time agent assistance for servicing and collections calls.
- **proAgent**: An AI‑driven agent tailored specifically to consumer finance interactions.
- **proPay**: An intelligent, intuitive payment portal designed for collections.
- **scoreGenie & trainGenie**: Agentic workflows that automate quality assurance and agent training in lending and collections.

All products are trained on proprietary, industry‑specific data and are deployed as SaaS solutions.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total funding raised (undisclosed Series A amount) from Accel and Menlo Ventures, with earlier backing from Y Combinator. The company has analyzed over 200 million consumer finance interactions and claims product‑market fit.
- **Notable Investors/Partners**: Accel, Menlo Ventures, Y Combinator.
- **Growth Signals**: Launch of six new products/features in 2024‑2025 (proAgent, proPay, scoreGenie, trainGenie, PIE); target market is the $18 billion+ lending and collections industry; ongoing hiring across engineering, ML, and sales roles.

## Competitive Advantages
- **Vertical specialization**: AI built exclusively for consumer finance, trained on half a billion proprietary interactions – a moat that general‑purpose AI providers cannot easily replicate.
- **End‑to‑end platform**: From agent assistance to quality assurance, payment portals, and context‑sharing engine – reduces the need for multiple vendors.
- **Deep tech stack**: Access to best‑in‑class LLMs, Databricks, Cursor, Devin.ai, and TrueFoundry; emphasis on building specialized models in‑house.
- **Y Combinator pedigree**: Early validation and network effects.

## Strategic Focus
- Continue building an “agentic workforce” for consumer finance, replacing outdated workflows with AI‑native operations.
- Expand the product suite (recent launches of proAgent, proPay, scoreGenie, trainGenie) and deepen integrations.
- Scale go‑to‑market for mid‑market and enterprise accounts, leveraging the existing traction with 200 million+ interactions processed.

## Why Work Here
- **Cutting‑edge AI work**: Engineers and ML practitioners work on specialized GenAI models for a real‑world, high‑stakes industry, with access to top LLMs and cloud credits.
- **Flexible culture**: “Not a clock‑in, clock‑out company” – fully remote‑friendly schedules, unlimited vacation (paid time off), and trust‑based autonomy.
- **Growth & mentorship**: Leadership actively mentors through 1:1s, lunches; employees can rotate across verticals and take side‑projects. Sponsored learning (courses, conferences, books).
- **Perks**: Competitive salaries, comprehensive health insurance for family, heavily discounted gym memberships, food/travel/electronics allowances, and biannual team offsites (football, cricket, marathons).
- **Engineering philosophy**: Open culture, merit‑based decisions, bias for action, and regular hackathons (e.g., Jan 2025). Stack emphasizes modern tools (Cursor, Databricks, TrueFoundry).
- **Locations**: Mountain View, CA (HQ) and Mumbai, India (major engineering/sales hub).

## Sources
1. [prodigaltech.com – Our Story](https://www.prodigaltech.com/our-story)
2. [prodigaltech.com – Careers](https://www.prodigaltech.com/careers)
3. [LinkedIn – Prodigal](https://www.linkedin.com/company/prodigaltech)
4. [prodigaltech.com – About Us](https://www.prodigaltech.com/about-us-v2)

## Other roles at Prodigal

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