
Founding 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.

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Job Description
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- Participate in the entire application lifecycle, focusing on coding and debugging
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- Follow emerging technologies
Requirements
- Proven work experience as a Back-end developer
- Experience in Node.js, AWS, Postgres
- Familiar with building REST API
- In-depth understanding of the entire web development process (design, development and deployment)
- Hands on experience with programming languages like Java
- Working knowledge of CMS framework
- Familiarity with front-end languages (e.g. HTML, JavaScript)
- Excellent analytical and time management skills
- Teamwork skills with a problem-solving attitude

Job Brief
Primary Responsibilities:
- Obtaining in-depth understanding of design and implementation of existing software product
- Performing all phases of software engineering including requirements analysis, design, estimation, and development & testing
- Applying innovation and creativity in design and implementation of features
- Designing reusable components, frameworks and libraries
- Troubleshooting production support issues post-deployment and come up with solutions as required
- Follow the processes defined by the project manager and the organization
General Requirements
- 2+ years of experience in full-stack development in python based technologies.
- Experienced in relational database technologies
- Good in data structures and algorithms
- Good written and verbal communication skills
- Self motivated and willing to learn new technologies
- Experience in AWS cloud technologies is plus
Technologies
- Python, Django
- Angular
- JavaScript, HTML, CSS technologies
- Must understand AJAX and REST
We are looking for a high-performing Developer to build our ecommerce platform and API framework powered by Machine Learning and Artificial Intelligence. Candidates for this role will be passionate about well-written code, testing, and excel at coming up with simple approaches to complex problems.
Our work culture is overachiever, very amiable, and at the same time always charged with excitement. We encourage our team members to take responsibility and grow into future leaders in the industry.
Job Responsibilities:
- Understand project requirements, writing bug-free clean code and ensure that the solution works per the agreed architecture, SLAs, KPIs and business model
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- Proficiency in MongoDB and MySql
- Technical Skills: JIRA, Gitlab, Rest API, GCP or AWS
- Experience in performance profiling, tuning, and optimization, caching mechanisms with Enterprise level applicants
- Experience in writing unit testing and test case automation.
- Ability to operate in an Agile environment with a start-up mentality and unstructured environment, Energy, drive and passion to work, and operate in a digital world.









