About Brikby

Brikby is an AI company that makes instant property ownership verification a possibility. Brikby ingests property documents (any state, language, format and even hand written documents) and provides users with document scrutiny, title flow, missing documentation, red flags and provides BFSI customers with product (loan-type) specific insights. Further, it verifies documents provided by the customer against government records in real time.

Right now we’re working in the BFSI sector and have successfully reduced our customers’ property verification TAT from 4 days to under 30 minutes. Since January, we have processed over 15,000 loan logins. Our plan is to become the gold standard in BFSI and then provide property ownership verification for any use case (B2C, infrastructure, development, telecom, etc.) which requires it.

What you will work on

• Work directly with lenders and lawyers to find what slows them down, then design, test and validate the fix with them.
• Turn direct customer metrics into insights that shape what we build next.




• Architect and scale the document ingestion pipeline so every report gets faster and more reliable as volume grows.
• Find out why LLM output goes wrong, fix it at the root, and build evals that keep it fixed.
• Build out our multi agent system and the tools it uses across government sources.
• Ship features end to end in the web app, and run it on GCP with an eye on cost and latency.

What we are looking for

• 0 to 5 years of experience building and shipping software. Internships, freelance work and reliable side projects all count.
• Strong TypeScript and Node.js, with working knowledge of React, SQL and a cloud platform (GCP preferred).
• Hands on experience with LLM APIs: tool calling, structured output and multi agent orchestration, using agent traces and evals to debug and measure them.
• Experience building backend systems that hold up in production: queues, retries, idempotency, and logs and traces to debug th

📌 Founding Engineer (Gurugram)
🏢 Brikby
📍 Gurugram