About the company:

A US-based AI startup that works exclusively with the mortgage industry. The team builds AI workflows and agents that collect and check borrower documents, prepare loan files for underwriting, automate borrower follow-ups and connect systems across the mortgage lifecycle. Engineers work in dedicated pods alongside each customer.

About the role:

You will join a client pod working with engineers, domain experts and client stakeholders. You will learn the client's operations first-hand, own a scoped problem, and build and ship AI workflows and agents into production with real users.

What you will do:

- Understand client workflows, systems and pain points directly from the people doing the work

- Define a scoped problem with clear, measurable success criteria

- Build and ship LLM-powered workflows and agents connected to the client's tools and data

- Make your work production-ready: integrations, conversation history, logging, monitoring, and human review and escalation

- Deploy with real users, handle exceptions, and release improvements weekly

- Measure impact on turnaround time, accuracy, manual effort and team capacity

What you need:

- 1.5 - 4 years of software engineering experience, with hands-on work building applications on LLMs

- Strong Python skills

- Experience with LLM APIs (OpenAI, Anthropic or similar), and agent or RAG frameworks such as LangChain or LangGraph

- Experience building integrations with APIs, databases and third-party systems

- Clear written and spoken English, and comfort working directly with US clients

- An ownership mindset: you take a workflow from problem to production

Good to have:

- Experience in fintech, lending, mortgage or document-heavy workflows

- Exposure to OCR or document AI, evaluation of LLM outputs, and production monitoring

Why join:

- Build AI agents used by real mortgage teams in the US

- Work directly with the founder and engineering team

- Ownership of client outcomes from early on

- Stock ownership alongside salary

- Fully remote within India