As an AI Software Development Engineer II at Hiver, you will have a critical role to play to build and scale our product to thousands of users globally.

- We are growing very fast and process over 5 million emails daily for thousands of active users on the Hiver platform.

- You will get a chance to work with and mentor a group of smart engineers as well as learn and grow yourself working with very good mentors.

- Youll get the opportunity to work on complex technical challenges such as making the architecture scalable to handle the growing traffic, building frameworks to monitor and improve the performance of our systems, and improving reliability and performance.

- Code, design, develop and maintain new product features.

- Improve the existing services for performance and scalability

What You Will Be Working On :

- Own the complete product lifecycle, from coming up with the right product features for customers, system improvements, and addressing tech debt followed by deciding the technical approach, sizing up the work and effort, and forming the release strategy

- Act as a role model for ensuring code quality at Hiver.

- Extensively participate in code reviews across multiple projects

- Coach junior engineers with code comments, documents, and presentations.

- Promote the best coding and testing practices across the team

- Track record of assessing the fairly accurate expected time of arrival (ETA) for large & complex projects and working with a team to meet these timelines with high confidence

- Engaging in brainstorming sessions to thoroughly understand the problem, crafting innovative solutions through thoughtful design, developing the system with precision, and ultimately overseeing a successful release.

- Instrumenting and troubleshooting distributed systems.

What We Are Looking For :

- A minimum of 3 years of professional experience as a Backend developer in Python or other backend scripting languages (Node.js, PHP, ROR, Java)

- Minimum 6 months of experience on Gen AI feature development is mandatory.

- Solid understanding of data structures/algorithms, low-level design, and system design

- Should have built and maintained production-grade services which are being used by a good number of active users/customers

- Deep understanding of relational databases (eg, MySql) with some experience with NoSQL databases too

- Experience working with distributed systems.

- Experience working with cloud platform providers - AWS, GCP

- Experience with Kubernetes is a plus