Sei

AI Agents for Financial Institutions

LLM Engineer (Mid / Senior)

₹2M - ₹5M INR•0.01% - 0.03%•Chennai, TN, IN / Chennai, Tamil Nadu, IN Job type Full-time Role Engineering, Machine learning Experience 3+ years Visa US citizenship/visa not required Skills Machine Learning, Natural Language Processing, Prompt Engineering Connect directly with founders of the best YC-fundedstartups. Apply to role 7;

About the role

Who?

We are Sei, an agentic AI platform for financial services. Since launching, we're live with large enterprises across the US, Europe, and APAC and growing at double digits per month. We are backed by world-class investors, including Y Combinator, Tribe Capital, PayPal, Picus Capital, & Hashed. Pranay (CEO) and Ram (CTO) are the founders. We have combined experience of 20+ years of building fintech and tech products for businesses & customers across the world at companies such as Deutsche Bank, Cloud Kitchens, PayPal, TransferWise, and Amazon, among others. We are looking for an LLM engineer to help shape the company's tech, product, and culture. We are currently working with a bunch of enterprise customers and banks, and are experiencing rapid growth. We are looking to hire mid to senior engineers who can take our V1 into a more scaleable, robust platform as we prepare for more growth.

What to expect

You can expect to do all of the following:

1. Orchestrate workflows across closed and open source models
2. Build pipelines to clean and transform data for RAG

3. Evaluate multiple models for text classification, sentiment analysis, STT, etc. on multiple rubrics

1. Create and run evals

5. Clean, prune, and collect datasets to analyze model performance, hallucination rates, recall, etc. 6. Research and implement SOTA approaches for knowledge graphs and Graph RAGs

1. Implement inference-time reasoning approaches to improve the accuracy of models

Our values

1. Continuous 360 feedback: Everyone is expected to share constructive, critical feedback with everyone else, including the founders. 2. Product-minded: Everyone shares product ownership, so we expect everyone to engage in customer outreach, support, and customer conversations to gather feedback and identify new features.

1. Doers over talkers: We spend time figuring out the right direction, then execute quickly. No one is too “senior” to do a job - the CTO will code every day, the CEO will sell every day,...