Agent Engineer

prodigal

Mumbai · India

Posted Feb 13, 2025

Other
Engineering

Job description

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.

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

What shapes our thinking - https://link.prodigaltech.com/our-thesis

Our website - https://www.prodigaltech.com/