Agent Engineer

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. 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/ Create a Job Alert Interested in building your career at Prodigal? Get future opportunities sent straight to your email. Create alert Apply for this job * Indicates a required field Autofill with MyGreenhouse First Name* Last Name* Email* Phone Country Phone Resume/CV AttachAttach Dropbox Enter manuallyEnter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter AttachAttach Dropbox Enter manuallyEnter manually Accepted file types: pdf, doc, docx, txt, rtf * * * LinkedIn Profile* Website Current Salary (LPA)* Select... Expected Salary (LPA)* Select... Total Year of Work Experience (Excluding Internship)* Are you comfortable working from office 5days a week(Location - Powai, Mumbai) ?* Select... Submit application Powered by Greenhouse