Staff Engineer - Artificial Intelligence (6-13 yrs)

About us :

Hiver offers teams the simplest way to offer outstanding, personalized customer service. As a customer service solution built on Gmail, Hiver is intuitive, super easy to learn, and delightful to use. Hiver is used by thousands of teams at some of the best-known companies in the world to provide attentive, empathetic, and human service to their customers at scale. We're a top-rated product on G2 and rank very highly on customer satisfaction.

At Hiver, we obsess about being world-class at everything we do. Our product is loved by our customers, our content engages a very wide audience, our customer service is one of the highest rated in the industry, and our sales team is as driven about doing right by our customers as they are by hitting their numbers. We're profitably run and are backed by notable investors. K1 Capital led our most recent round of $27 million. Before that, we raised from Kalaari Capital, Kae Capital, and Citrix Startup Accelerator.

Opportunity :

As a Staff Engineer at Hiver, you will have an immense impact on our technical architecture, product roadmap, team as well as our culture. We are growing our customer base very fast and processing over 5 million emails daily for thousands of active users. You will get a chance to work with and mentor a group of smart engineers whilst providing technical direction to our engineering roadmap. You'll get the opportunity to work on complex technical challenges such as making the architecture scalable to handle the growing volume of emails that we sync and building a framework to monitor and improve the performance of our systems.

What you'll be working on?

AI Solution Design and Development :

- Architect, design, and develop scalable AI-driven solutions across multiple platforms.

- Implement cutting-edge Generative AI models and fine-tune them for specific use cases.

- Develop robust machine learning pipelines for data ingestion, training, validation, and deployment.

- Act as a role model for best system design practices in the company, and strive for reducing complexity and building simple and elegant systems

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

- Extensively participates in code reviews across various projects

- Coaches all leads with code comments, documents, and presentations. Promotes the best coding and testing practices across the company

- Partners with senior leadership to propose ways to improve team productivity and provide metrics to enable decision making

- Deeply involved with all complex projects across the company and strives towards reducing uncertainty in them

- 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

- Takes initiative beyond engineering to influence cross-functional partners and the business outcome

- Builds an engineering environment that provides scope for innovation and regular experimentation

- Actively participate in coaching engineering talent and hold them accountable for both systems and process.

What are we looking for?

- You should have a minimum of 4 years of experience in an Architect role or a technical lead role and a total of 8 or more years of experience

- 5+ years of experience in AI/ML development, with at least 1 year of hands-on experience in Generative AI.

- Strong object-oriented skills, testing patterns and 3+ years of programming experience in Python or Java programming language

- Expertise working with distributed systems

- Good experience with Cloud platforms AWS or GCP

- Experience with MySQL and NoSQL (transactional and non-transactional), database architecture, and schema design

- Experience with mentoring junior developers and acting as an enabler to help them reach the next level

- Experience building large-scale, high-availability production web application infrastructure

- Strong understanding of architectural principles for SaaS-based capabilities

- Ability to navigate through a highly ambiguous problem statement and influence the team and the leadership towards the consensus and solution without any direct authority