Python + AWS Developer

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.

Key Responsibilities

• Design and implement scalable, maintainable, and efficient Python applications
• Lead technical projects from conception to deployment
• Collaborate with cross-functional teams to define and implement new features
• Write clean, testable code with appropriate documentation
• Conduct code reviews and provide constructive feedback to team members
• Mentor junior developers and contribute to their professional growth
• Participate in technical architecture discussions and decision-making
• Troubleshoot and debug complex software issues
• Contribute to continuous improvement of development practices and processes
• Design and implement AI/ML solutions using LLMs and related technologies
• Optimize and maintain AI model deployment pipelines

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field
• 5+ years of professional software development experience
• Strong proficiency in Python and its ecosystem (Django/Flask, FastAPI)
• Experience with SQL and NoSQL databases
• Solid understanding of software design patterns and principles
• Experience with version control systems (Git)
• Strong knowledge of RESTful APIs and microservices architecture
• Proficiency in writing unit tests and understanding of TDD practices
• Experience with CI/CD pipelines and deployment automation
• Strong problem-solving and analytical skills

AI/ML Technical Skills

• Experience with LLM frameworks (LangChain, LlamaIndex)
• Knowledge of working with large language models (GPT, Claude, etc.)
• Understanding of prompt engineering and LLM fine-tuning concepts
• Experience with vector databases (Pinecone, Weaviate, or similar)
• Familiarity with AI model deployment and serving (BentoML, Ray Serve)
• Experience with machine learning libraries (PyTorch, TensorFlow, or similar)
• Knowledge of AI/ML observability and monitoring tools
• Understanding of AI safety practices and responsible AI development
• Experience with embedding models and semantic search implementations
• Familiarity with AI application development patterns and best practices

• Bachelor's or Master’s degree in Computer Science or equivalent area
• 10 to 20 years of experience in software development
• Hands-on experience designing and building B2B or B2C products
• 3+ years architecting SaaS/Web based customer facing products, leading engineering teams as software/technical architect
• Experiences of engineering practices such as code refactoring, microservices, design and enterprise integration patterns, test and design-driven development, continuous integration, building highly scalable applications, application and infrastructure security
• Strong cloud infrastructure experience with AWS and/or Azure
• Experience building event driven systems and working with message queues/topics
• Broad working experience across multiple programming languages and frameworks with in-depth experience in one or more of the following: .Net, Java, Scala or Go-lang
• Hands-on experience with relational databases like SQL Server, PostgreSQL and document stores like Elasticsearch or MongoDB
• Hands-on experience with Big Data processing technologies like Hadoop/Spark is a plus
• Hands-on experience with container technologies like Docker, Kubernetes
• Knowledge of Agile software development process

Responsibilities:

• Setup and integrate various APIs
• Dealing with scripts written in different languages (PHP, Node.js, Python, PhantomJS, Ruby)
• Must be an R & D specialist
• Keep up-to-date with advanced concepts
• Adaptable to learn new technologies
• Knowledge on Linux and its commands
• Fast in debugging the code
• Should be a quick learner
• Good at communication

Requirements

• Minimum 3 Years of experience in PHP7
• 1 Year experience in Node.js/Python
• Good work experience in PHP7 
• Strong knowledge in OOPS.
• Proven knowledge on REST and SOAP API integrations 
• Experience in composer installations
• Strong in Javascript and Node.js concepts.
• Good knowledge of MongoDB and MySql
• Knowledge of versioning tools (SVN/GIT)
• Having knowledge on Amazon AWS and Google Cloud Platform is an added advantage
• Having knowledge of elastic search is an added advantage
• Good to have knowledge on p threads

• 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.

• Understands detailed requirements and demonstrates excellent problem solving skills
• Deep understanding of software engineering practices, Design Patterns, Data Structures, Algorithms
• Excellent programming skills in ROR, Golang, NodeJS, Python or Java
• Strong communication skills
• Strong sense of ownership, drive and ability to deliver results
• 2+ years of experience in product driven organization