Software Development Engineer (Frontend)

Posted 10 Days Ago
Bangalore, Bengaluru, Karnataka
Junior
Artificial Intelligence • Machine Learning • Software
The Role
As a Frontend Engineer, you will build new features, ensure component reusability, mentor team members, and conduct code reviews.
Summary Generated by Built In

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 basic react concepts, emerging design patterns in react, data modeling for stores etc. You will also need to architect our react codebase to ensure component reusability even as the codebase keeps growing, and should be able to make architectural decisions around component designs, data modeling for stores. One more responsibility apart from this is mentoring other team members, code reviews to maintain quality of code and features we are shipping.

What we expect from you :

  • React (Must), Preferably mobx experience
  • Modern CSS layouts like Flex, Grid
  • Strong fundamentals in OOP design patterns
  • Basic understanding of REST API's
  • Knowledge of frontend devops tools
  • Incorporating best practices in software development, security and design/architecture
  • Very good communication
  • Accountability
  • Curiosity and Willingness to learn new things while solving a challenging problem

Some of the interesting things we have shipped in frontend -

  • 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 

Our Tech Stack

  • Databases
    • Cassandra DB
    • Postgres/MySQL
  • Backend
    • Golang for API and other microservices
    • Python for Machine learning (Tensorflow, Pytorch)
  • Frontend
    • React, Typescript
    • Mobx
  • 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


Top Skills

AWS
Cassandra Db
CSS
Elk
Frontend Devops Tools
GCP
Go
Grafana
Jenkins
Kubernetes
Mobx
MySQL
Postgres
Prometheus
Python
PyTorch
React
Rest Apis
TensorFlow
Typescript
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The Company
HQ: San Francisco, CA
58 Employees
On-site Workplace
Year Founded: 2017

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.

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