Graph Database Consultant

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.

Backend Developer Job Description

Job Title: Backend Developer

Location: Nipania, Indore

Job Type: Full-time

Experience Level: Mid-Senior Level

Role Overview:

We are seeking an experienced Backend Developer to join our dynamic team. The ideal candidate will be responsible for building robust server-side applications and services. You will work closely with frontend developers to ensure seamless integration between the server-side logic and user-facing features.

Responsibilities:

• Implement efficient and secure backend services using Node.js and Python.
• Design and implement data storage solutions using MongoDB.
• Write effective APIs to support frontend functionalities.
• Optimize applications for performance, security, and scalability.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Maintain cloud services on AWS, including AWS EC2, Amplify, S3, Route 53, Cloudfront, Lambda & AWS CLI..
• Troubleshoot and debug issues across the backend stack.

Requirements:

• Proficient understanding of the MERN stack (MongoDB, Express.js, React.js, Node.js).
• Good experience using Docker and cloud services (AWS or Digital Ocean).
• Familiarity with microservices architecture and testing APIs with Postman.
• Knowledge of modern authorization mechanisms (e.g., JWT).
• Experience creating and maintaining CI/CD pipelines is a plus.
• Strong problem-solving skills with the ability to debug complex issues.
• Experience or knowledge of GraphQL is a plus.

Benefits:

• Leave encashment
• Provident Fund

Schedule:

• Day shift
• Fixed shift

Location- 840, Hare Krishna Vihar, Nipania, Indore, Madhya Pradesh 452010

• 3+ years of Experience in software Design and development and familiar with technologies - Java, Java-J2EE, Spring Boot, Hibernate, Ajax, REST API, Micro services etc.
• Working knowledge of JVM internals
• Working knowledge of any database (MySQL or HSQLDB)
• Working knowledge of No-SQL database (Mongo or Dynamo DB)
• Working experience with messaging (JMS/RabbitMQ)
• R & D on new advanced cloud-based technologies in a test-driven agile development.
• Knowledge in designing and architecting systems with high scalability and performance requirements.
• Ability to understand infrastructure for performance evaluation and reporting of cloud-based services, namely AWS
• knowledge of key AWS services like EC2, S3, Lambda, CloudWatch etc.
• Certification on AWS Fundamendals
• Excellent communication skills
• ability to effectively articulate technical challenges and solutions
• skilled in interfacing with internal and external technical resources
• Good in debugging problems and mentoring teams on technical front

Experience:

The candidate should have about 2+ years of experience with design and development in Java/Scala. Experience in algorithm, data-structure, database and distributed System is mandatory.

Required Skills:

Mandatory: -

1. Core Java or Scala
2. Experience in Big Data, Spark
3. Extensive experience in developing spark job. Should possess good Oops knowledge and be aware of enterprise application design patterns.
4. Should have the ability to analyze, design, develop and test complexity of spark job.
5. Working knowledge of Unix/Linux.
6. Hands on experience in Spark, creating RDD, applying operation - transformation-action

Good To have: -

1. Python
2. Spark streaming
3. Py Spark
4. Azure/AWS Cloud Knowledge of Data Storage and Compute side

• Experience in Web and Mobile Applications.
• Agility and ability to adapt quickly to changing requirements and scope and priorities
• Strong proficiency with JavaScript (ECMAScript 5, 6)
• Knowledge of Node.js and frameworks available for it (SailsJS, Express)
• Understanding the nature of asynchronous programming and its quirks and workarounds.Familiarity with front-end technologies.
• User authentication and authorization between multiple systems, servers, and environments.
• Interaction with multiple data sources.
• Good understanding of SQL syntax.
• Understanding fundamental design principles behind a scalable application.
• Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform.
•  Implementing automated testing platforms and unit tests.
• Proficient understanding of code versioning tools, such as Git.
• Knowledge in the field of IOT is good to have.