Ripik AI - Backend Engineer - Java Golang

Overview About Ripik.AI

Ripik.ai is a fast growing industrial AI SAAS start-up founded by IIT D/ BITS alumni and with extensive experience in McKinsey, IBM, Google and others. It is backed by marquee VC funds like Accel, Venture Highway and 25+ illustrious angels including 14 unicorn founders. Ripik.ai builds patented full stack software for automation of decision making on the factory floor. Today, they are deployed at more than 15 of the largest and most prestigious enterprises in India including the market leaders in steel, aluminium, cement, pharma, paints, consumer goods and others.

It is one of Indias very few AI product start-ups to be a partner to GCP, Azure and AWS. We are also the AI partner of choice for CII, ICC and NASSCOM.

About The Role

• You will spend time in ensuring the products have best technical design and architecture; you would be supported by peers and team members in creating best-in-class technical solutions.
• Identify technical challenges proactively and provide effective solutions to overcome them, ensuring the successful implementation of features and functionality.
• Quickly respond to business needs and client facing teams demand for features, enhancements and bug fixes.
• Work with senior Ripik.AI tech and AI leaders in shaping and scaling the software products and Ripiks proprietary platform for hosting manufacturing focussed AI and ML software products
  
  

• You should have 3+ years of experience, with deep expertise in Java, Golang & Python.
• Must have: Expert in coding for business logic, server scripts and application programming interfaces (APIs)
• Excellent in writing optimal SQL queries for backend databases; CRUD operations for databases from applications.
• Exposure to relational databases : MYSQL, Postgres DB, non-relational: MongoDB, Graph based databases, HBASE, Cloud native big data stores; willing to learn and ramp up on multiple database technologies .
• Must have at least 1 public cloud platform experience (GCP/Azure/AWS; GCP preferred).
• Good to have: Basic knowledge of Advanced Analytics / Machine learning / Artificial intelligence (has to collaborate with ML engineers to build backend of AI-enabled apps)