Software 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.

Strong Full stack/Backend engineer profile

Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)

Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures

Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS

Mandatory (AI): Must have hands on experience with using AI tools (eg: Claude, Cursor, GitHub Copilot, Codeium, Deepdcode) for coding.

Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis

Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS

Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring

Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design

Mandatory (Company) : Product companies (Preferably Top product companies, AI native companies, B2B SaaS)

Mandatory (Stability): Must have atleast 2 years of experience in each of the previous companies (if less exp, then proper reason)

Mandatory (Note): Candidates who have owned end-to-end product development or worked on app development projects during their graduation will be highly preferred.

Mandatory (Note 2): The role offers a mix of work setups, including remote, Mumbai (in-office), and Bangalore (in-office) opportunities

Job description

We are looking for an experienced Python developer to join our engineering team and help us create dynamic software applications for our clients. In this role, you will be responsible for writing and testing scalable code, developing back-end components, and integrating user-facing elements in collaboration with front-end developers.

Responsibilities:

• Coordinating with development teams to determine application requirements.

• Writing scalable code using Python programming language.

• Testing and debugging applications.

• Developing back-end components.

• Integrating user-facing elements using server-side logic.

• Assessing and prioritizing client feature requests.

• Integrating data storage solutions.

• Coordinating with front-end developers.

• Reprogramming existing databases to improve functionality.

• Developing digital tools to monitor online traffic.

Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, or related field.

• 2-7 years of experience as a Python Developer.

• Expert knowledge of Python and Flask framework and Fast API.

• Solid experience in MongoDB, Elastic Search.

• Work experience in Restful API

• A deep understanding and multi-process architecture and the threading limitations of Python.

• Ability to integrate multiple data sources into a single system.

• Familiarity with testing tools.

• Ability to collaborate on projects and work independently when required.

• Excellent troubleshooting skills.

• Good project management skills.

SKILLS:

• PHYTHON
• MONGODB
• FLASK
• REST API DEVELOPMENT
• TWILIO

Job Type: Full-time

Pay: ₹10,000.00 - ₹30,000.00 per month

Benefits:

• Flexible schedule
• Paid time off

Schedule:

• Day shift

Supplemental Pay:

• Overtime pay

Ability to commute/relocate:

• Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required)

Experience:

• Python: 1 year (Required)

Work Location: In person

• To take lead and manage the backend team.
• Taking ownership and developing new micro services/systems to improve the products.
• Managing and adding on to our linux based content management system as well as our web servers.

• 4+ years of hands-on experience working with serverless architecture.
• Hands-on experience with products at a scale of > 50K DAUs.
• Should be able to architect and implement complex services/systems in a simple and scalable manner.
• Self starter with the ability to lead a team.
• Should be an expert in: Python. AWS Lambda, RDS and EC2 SQL databases, specifically postgresql. NOSQL Database, specifically dynamoDB.
• Should be able to write automated test cases for developed code.
• Should be proficient in the linux environment.
• Having the following skills will an added bonus: Experience developing with Neo4j databases. Firebase services. * Experience working with Docker and ECS.

• Your word counts You’ll get to play a key role in shaping up the product roadmap and will be involved in every stage
• Learning never stops With  advancing into the growth stage, there is immense potential and relevance to apply new developments you learn in your domain
• Sponsored training Do you want to learn something that helps improve your productivity or knowledge? We’ll sponsor that
• Remote friendly Even before Covid, half of us worked from home. Heck, you want to work from a village? Go for it.

• Healthy company culture We nurture a conducive environment for your personal and professional growth, and take extreme care to make sure you are happy at work
• Everyone gets to lead You own your idea, and you lead it’s execution
• Smart work is what matters with us We don’t count hours. We value getting the work done
• Teammates who will sing and jam with you

• Work experience as Python developer
• Should have experience in  developing and working on consumer facing web/app products on in Django framework
• Should have experience working with react js front end design.
• Thorough knowledge of data stores, MyScore AWS services and should have experience with EC2, ELB, AutoScaling, CloudFront, S3
• Experience in Frontend codebases using HTML, CSS and Javascript
• Good understanding of Data Structures, Algorithms and Operating Systems
• Good experience of developing and integrating APIs
• Knowledge of object-relational mapping (ORM)
• Able to integrate multiple data sources and databases into one system (mysql)
• Understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
• Proficient understanding of code versioning tool (git)
• Good problem-solving skills

• Should be a Backend Developer - Python only
• Should be MCA/B.Tech IT
• Should have Database Knowledge
• Should have DJango Knowledge
• Writing effective, scalable code
• Good Communication

About the Role

The Dremio India team owns the DataLake Engine along with Cloud Infrastructure and services that power it. With focus on next generation data analytics supporting modern table formats like Iceberg, Deltalake, and open source initiatives such as Apache Arrow, Project Nessie and hybrid-cloud infrastructure, this team provides various opportunities to learn, deliver, and grow in career. We are looking for technical leaders with passion and experience in architecting and delivering high-quality distributed systems at massive scale.

Responsibilities & ownership

• Lead end-to-end delivery and customer success of next-generation features related to scalability, reliability, robustness, usability, security, and performance of the product
• Lead and mentor others about concurrency, parallelization to deliver scalability, performance and resource optimization in a multithreaded and distributed environment
• Propose and promote strategic company-wide tech investments taking care of business goals, customer requirements, and industry standards
• Lead the team to solve complex, unknown and ambiguous problems, and customer issues cutting across team and module boundaries with technical expertise, and influence others
• Review and influence designs of other team members 
• Design and deliver architectures that run optimally on public clouds like GCP, AWS, and Azure
• Partner with other leaders to nurture innovation and engineering excellence in the team
• Drive priorities with others to facilitate timely accomplishments of business objectives
• Perform RCA of customer issues and drive investments to avoid similar issues in future
• Collaborate with Product Management, Support, and field teams to ensure that customers are successful with Dremio
• Proactively suggest learning opportunities about new technology and skills, and be a role model for constant learning and growth

Requirements

• B.S./M.S/Equivalent in Computer Science or a related technical field or equivalent experience
• Fluency in Java/C++ with 15+ years of experience developing production-level software
• Strong foundation in data structures, algorithms, multi-threaded and asynchronous programming models and their use in developing distributed and scalable systems
• 8+ years experience in developing complex and scalable distributed systems and delivering, deploying, and managing microservices successfully
• Subject Matter Expert in one or more of query processing or optimization, distributed systems, concurrency, micro service based architectures, data replication, networking, storage systems
• Experience in taking company-wide initiatives, convincing stakeholders, and delivering them
• Expert in solving complex, unknown and ambiguous problems spanning across teams and taking initiative in planning and delivering them with high quality
• Ability to anticipate and propose plan/design changes based on changing requirements 
• Passion for quality, zero downtime upgrades, availability, resiliency, and uptime of the platform
• Passion for learning and delivering using latest technologies
• Hands-on experience of working projects on AWS, Azure, and GCP 
• Experience with containers and Kubernetes for orchestration and container management in private and public clouds (AWS, Azure,  and GCP) 
• Understanding of distributed file systems such as  S3, ADLS or HDFS
• Excellent communication skills and affinity for collaboration and teamwork

• Spend most of your time developing brand new software in Python
• Build out a secure data replication infrastructure to replicate transactional data across a hierarchical system
• Build out APIs for supporting a fleet of 20k devices
• Build out a configurable data analytics and reporting framework
• Build out real time dashboards for getting a high level and deep dive view of the overall system
• Be responsible for independently designing and building out modules of the overall system
• Work with a team of smart peers and take ownership of the resulting system
• Push yourselves, create impact, learn and grow as an engineer