About Nanonets
Nanonets has a vision to help computers see the world starting with reading and understanding documents.Machine Learning (ML) is no longer a futuristic concept—it's a present-day powerhouse transforming the business landscape. Nanonets is at the forefront of this transformation, offering innovative ML solutions designed to make document related processes faster than ever before.
From automating data extraction processes to enhancing reconciliation, our solutions are designed to revolutionize workflows, optimize operations, and unlock untapped potential for our clients. Our client footprint spans across brands such as Toyota, Boston Scientific, Bill.com and Entergy to name a few enabling businesses across a myriad of industries to unlock the potential of their visual and textual data
We recently announced a series B round of $29 million in funding by Accel and are backed by the likes of existing investors including Elevation Capital & YCombinator. This infusion of capital underscores our commitment to driving innovation and expanding our reach in delivering cutting-edge AI solutions to businesses worldwide.
Read about the release here:
https://www.forbes.com/sites/davidprosser/2024/03/12/why-enterprises-are-learning-to-love-nanonets-automation/?sh=6d79ec8f3ca1
https://techcrunch.com/2024/03/12/nanonets-funding-accel-india/amp/
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.
About the Role
As a frontend engineer, you will be primarily building new frontend features in our web application. You should have an in-depth understanding of core React concepts, emerging design patterns, and data modeling for stores. You will also architect our React codebase to ensure component reusability and long-term maintainability as the product scales.
You will act as the technical owner of the frontend product, accountable for both day-to-day feature delivery and the long-term health, stability, and performance of the application.
Your responsibilities also include making architectural decisions, mentoring team members, performing code reviews, and ensuring the quality, performance, and reliability of the features we ship.
What we expect from you- 7+ yrs of experience in frontend , React (Must)
- Modern CSS layouts like Flex and Grid
- Strong fundamentals in component composition patterns and state management architecture
- Basic understanding of REST APIs
- Knowledge of frontend DevOps tools
- Incorporating best practices in software development, security, and architecture
- Experience optimizing React performance for complex, data-heavy UIs
- Proficiency in modern frontend testing practices (Jest, React Testing Library, E2E frameworks)
- Strong product thinking and empathy for user needs
- Excellent cross-functional collaboration with design, product, and backend teams
- Very good communication
- Accountability and ownership
- Familiarity with backend concepts and API design — enough to collaborate closely with backend engineers and understand system-level tradeoffs
- Experience working across the stack to debug integration issues or prototype full end-to-end features
- Ability for users to annotate documents so AI can learn which fields to extract
- Displaying machine learning metrics in simplified ways to end users so they can act based on those metrics
- Letting users build complex visual workflows around our API in our product.
- Let users visualize complex ML metrics in a very simple and intuitive way
- Databases
- Cassandra DB
- Postgres/MySQL
- Backend
- Golang for API and other microservices
- Python for Machine learning (Tensorflow, Pytorch)
- Frontend
- React, Typescript
- Cloud Providers
- AWS
- GCP for ML heavy workload
- Monitoring/Alerting
- ELK for logging
- Prometheus for Monitoring
- Graphana for dashboards
- Orchestration
- Kubernetes
- DevOps
- Jenkins for CI/CD
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Top Skills
What We Do
Nanonets enables self-service artificial intelligence by simplifying adoption. Easily build machine learning models with minimal training data or knowledge of machine learning.
At Nanonets, we serve up the most accurate models. Always.
