Python
PostgreSQLFounding Engineer (Bangalore)
The problem:
Business enterprises overpay vendors - on every batch of invoices, on every month because the data that would catch lives in different systems. We are building an AI agent that processes invoices end-to-end, reasons across all the relevant sources, flags genuine discrepancies, and acts - without a human having to investigate each one.
What you will own
Everything engineering. Schema design to deployment to the 2am fix when something breaks in production. There is no tech lead above you. There is no platform team. There is the architecture, you, and the founders. Concretely, this means building:
- A multi-stage agentic pipeline that takes a vendor invoice and produces a structured decision - fully autonomous for clear cases, escalating to human review for genuinely ambiguous ones. We use LangGraph, but if you've built equivalent systems with Temporal, Prefect, or custom state machines with LLM orchestration, that works
- An LLM-powered extraction layer that handles real invoices - scanned PDFs, stamped documents, inconsistent layouts - and returns structured output
- A graph data model that connects invoices to various sources and can traverse those relationships to detect discrepancies
- ERP connectors, GST validation logic, and a write-back layer that closes the loop
What we need
- Strong Python. Async FastAPI, clean service boundaries, tests that actually catch bugs. You have shipped Python backends that handled real production load
- Solid Postgres. Complex queries, schema design, migrations without downtime, row-level security for multi-tenant data. pgvector is a plus - if not, you pick it up fast
- LLM API experience in production. You have called an LLM API for something that real users depended on. You know about structured output, retry logic, cost management, prompt versioning. A side project counts if it was genuinely deployed
- Comfort with graph data models. You understand when a graph is the right structure and when it is not. You do not need deep Neo4j production experience - you need to understand graph relationships conceptually and be willing to learn Cypher. It is a 2-day ramp for the right person
- Working knowledge of deployment. Deployed and operated production workloads on GCP. Cloud Run, Cloud SQL, Cloud Storage, Redis — you're comfortable across the stack. If you've done it on AWS, the translation isn't hard, but GCP is where we are
- You own things. Not "I contributed to" - you designed it, shipped it, and fixed it when it broke. That pattern needs to be visible in your history
Good to have, not mandatory
- Built an agentic pipeline with multiple stages
- Any fintech, P2P domain experience - even tangential
- Worked at a startup with under 20 people
- Has a GitHub, blog, or writeup that shows how you think about a hard technical problem
What you get
- The hardest engineering problem you would have worked on. This is not CRUD with an LLM bolted on
- Real ownership. First engineering hire. Your architectural decisions will be in this product five years from now
- Equity that matters. ESOP - Open to discussion. We are pre-seed - this is a bet, not a guarantee. We will not pretend otherwise
- No meetings tax. You work directly with the founders. The product is specified clearly. You know what you are building and why
Honest about stage: We do not have a production ready infra yet. We have a complete architecture specification and a working prototype. If you need the stability of an established engineering org, this is not the right moment. If you want to build something real from zero and own a meaningful piece of it, it is.
The founders
One of us has spent 20 years building revenue and operational engines at companies where there was no playbook - part of the pilot team that established the world's largest search company's direct sales operations in India, managed global operations for a global mobile advertising platform, scaled a B2C platform to become one of India’s leading edtech platforms and most recently worked on building an enterprise Agentic Voice AI platform. The other has spent 15 years taking AI from demo to production in domains where failure is expensive - voice, lending, and conversational systems across a Series D conversational AI company, a major telco, a Big 4, and a leading NBFC.
Two IIT/IIM alumni who have both watched AI work in enterprise, and know exactly what it takes to get it there. We are not building this product because it sounds interesting. We are building it because we have both sat across the table from CFOs who know they are losing margin and have no tool capable of doing anything about it.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Ruby on Rails (ROR)PythonFounder’s LinkedIn profile
Dheeraj Pandey
(Founder, Investor, & Then-CEO of Nutanix / One of the Indian origin guy out of 10 Board Member of- Adobe / Alumni- IIT, Kanpur & University of Texas, Austin)
https://www.linkedin.com/in/dpandey/">https://www.linkedin.com/in/dpandey/
&
Chandra Nath
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https://www.linkedin.com/in/chandranath/">https://www.linkedin.com/in/chandranath/
&
Manoj Agarwal
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https://www.linkedin.com/in/devreveler/">https://www.linkedin.com/in/devreveler/
- Headquarters: Austin, Texas, United States
- Year founded: 2020.
- Work Location: Bangalore
- Team size: 35-40 (In US from companies like Google, Airbnb, Blizzard, Facebook, Palantir, Microsoft, CapitalOne, Nutanix and Confluent)
- Funding: 50 M USD (raised the largest seed round in the history of Silicon Valley)
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We already have a team of 30-35 people in San Jose, California, United States, now we are building a new team in india and they are hiring 0-5 years of rock stars from top notch colleges (Top 5 ranked IIT’s only & BITS) & companies only.
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Job Role – Backend developer.
If you think, you are one of them then please reply with your interest and we will take your candidature ahead for next level of evaluation. (No Bar of budget for strong candidate).
Looking forward to taking you to the next level of technology.
Warm Regards,
Rahul Rajput
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Zupee is India's hottest Real Money Gaming Platform
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Follow CutshortShubham Vishwakarma
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