Agent Engineer
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Job overview
Prodigal is hiring an Agent Engineer. Prodigal builds AI agents for loan servicing and collections, creating a next‑generation intelligence layer for debt recovery. The company, backed by Y Combinator and venture firms, serves over 100 enterprise customers across North America and seeks engineers to develop production‑grade LLM‑powered agents.
Key focus areas include Build and deploy LLM‑powered AI agents, including voice agents, in production, Own the end‑to‑end lifecycle of AI systems from design to deployment and monitoring, and Design and optimize prompts, RAG pipelines, and evaluation frameworks for accuracy and latency.
Successful candidates bring 1-3 Years Backend Engineering Experience. Important skills include Python, SQL, High Ownership, Work In Ambiguity, Ship Fast, and Working With Customers. Preferred (not required): LLMs, RAG, Prompt Engineering, and Production LLM Systems.
Skills & qualifications
Skills
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Full 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/
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