Software engineer internship for AI SaaS product

Hey there! 👋

Thanks for your interest in our job opening. We hope this gives you a good impression of what it’s like to work at Deeploy, who we are and what we value. If we spike your interest, don’t hesitate to contact us, we love to have a conversation, no strings attached!

What? [You'll be doing] 👀

As an Intern Software Engineer, you'll join our growing Engineering team. You'll work together as a team as well as independently on making our software even better for our clients.

We are looking for an intern that will help us create an internal application for managing customers on our SaaS platform

We offer Deeploy as a SaaS product. Users can create a team and use the app for free. More limits and features can be unlocked via paid subscriptions. As Deeploy, we want to have better insights in the status and usage of our users and manage subscription details. You will help us create an internal application for this. It entails:

• Setting up a brand new application, both frontend (angular) and backend (NestJS)
• Offering insights in our SaaS usage
• Manage customer subscription configurations within the application
• Deploy the application on our Kubernetes cluster
• Join our agile development cycle and work together with teammates 
• Learn about the Deeploy product and actively participate in discussions and product development

Minimum Qualifications: 

• You have a good command of the English language
• You are available full time for at least 5 - 6 months
• You have an interest in Machine Learning / AI

Preferred Qualifications: 

• Experience developing and documenting your own project
• Confidence to help the team and be an all-around team player.
• Strong desire to learn

Summary:

• Our ambition: Be the goto technical foundation for trustworthy AI and enjoy the ride getting there.
• When the job suits you: We focus on team fit and engineering potential, we want to hire the most motivated interns, giving you an amazing learning experience and career opportunity.
• Technologies we use: Angular, TypeScript, NestJS, Playwright, Kubernetes, Docker. If you are unfamiliar with some of these technologies that is ok, there is plenty of room to learn.

Why? 🤔

Deeploy is a start-up with ambition. We try to solve one of the biggest challenges in AI nowadays: making AI/ML truly awesome so it has a real impact.

How? 🚀

We do this by creating state of the art MLOps software for AI developers focussed on giving them the best experience possible.

At Deeploy we like a technical challenge. The beautiful thing is that we are in unexplored territory. So we have to be creative, invest in research and work with our end-users. This way we try to make the best choices possible for our users.

You don’t have to do this on your own. We like to work in dedicated and multidisciplinary teams where all team members can have their own speciality. Ranging from design, QA, architecture and security. As a team we are stronger than individuals, we learn from each other, both on a professional and personal level. Above all, working should be fun! 

What to expect from us: ⚡️

We look for people that want to enjoy the ride of a start-up and benefit from the freedom in the role:

• We like to share and celebrate the small and big milestones that we reach in our common goals.
• A job when your studies are over: the majority of our interns tend to stick around

Have we spiked your interest? 🌎

Because we think finding and hiring team members is one of the most important things we need to do right as a company, we designed a simple process so you know exactly how we proceed. We like to be quick, and typically complete our interview process within 2 weeks. If you want to reach out to us before applying with any questions, drop us an email at jobs@deeploy.ml 

1. Step 1: Apply for the job and give us a good impression of yourself. Next to a LinkedIn/CV, we are even more interested in personal projects that you are proud of.
2. Step 2: You’ll have a quick 20-minute introduction call, typically we will let you know about all the great stuff we’re working on, prepare you for the rounds, and answer any questions you may have. Furthermore, we’ll find out a bit more about you on this call.
3. Step 3: We invite you for another meeting, preferably with 2 product team members. This time we give you a nice coding challenge to prepare in advance. We value your time, so we timebox the challenge to a maximum of 3 hours. Remember, experience is a nice bonus, but we mainly look at your engineering potential and team fit.
4. Step 4: We make an offer and welcome you aboard! 🎉