Collaborate in small, autonomous project teams to leverage generative AI and Elixir/Phoenix, optimizing software solutions with a strong user-centric focus.
🌎 Hire Location (we can only hire for this role in the following countries): United Kingdom | Ireland | The Netherlands
Are you ready for an incredible adventure? We're on the lookout for a highly skilled and experienced software engineer. If you’re excited to unlock the full potential of our platform, leveraging the power of Generative AI and Elixir/Phoenix alongside some brilliant engineers - this could be the role for you, we are eager to have more people who want to stay on the bleeding edge of the technology!
At Workera, we want each one of us to be a product engineer, an empowered engineer who cares about the users, and that will make for a happy engineer. How do achieve that? We set up small project teams (2-3 people) deep-diving a couple of weeks or months to address a certain problem space. The project team has the autonomy to solve it in the way they want - but also the responsibility to own every aspect of the feature: scoping the problem and solution, prototyping, testing/dogfooding, rollout, and handling user feedback. You work closely with our product manager and product designer in doing so, as well as other (non-tech) colleagues.
This role is perfect for those who thrive in an environment where they can take the wheel and drive. You know how to prioritize tasks even when there seem to be a million things on your plate. You've built software systems that scaled up, and you strike a balance between pragmatism and future-proofing your solutions.
These are the things we'd like to see in you:
You should be located in the UK, Ireland, or the Netherlands. You are free to choose working hours that suit you best, as long as there is an overlap with your team for most of the day.
Our stack primarily consists of Elixir + PostgreSQL on the backend and Phoenix on the frontend (with some pockets of React). We monitor performance using Sentry, and our platform is hosted on AWS, running on Docker containers defined in Terraform. Our platform is AI-native, and we make extensive use of LLMs in our application. Our code lives on GitHub - in fact, GitHub, Slack and Linear is where most of the collaboration happens (almost no emails get sent around). We practice using Loom to demo our work. That's the gist of it - we can dive into other technologies used when we get to know each other.
About Workera
Workera is a fast-growing, Series B Silicon Valley company redefining how enterprises understand, develop, and mobilize talent. We are an AI company building AI-native skill assessments that can measure any skill, at any time, for the world’s largest organizations. Our platform combines generative AI, adaptive testing, and rigorous measurement science to deliver trusted, defensible skill insights at enterprise scale. As AI reshapes how work is performed, Workera is redefining how work is measured. Our clients include Samsung, Siemens Energy, and the U.S. Air Force.
Our founder is Kian Katanforoosh, an award-winning Stanford Computer Science Lecturer who has taught AI to over 1 million people, and our Chairman is Dr. Andrew Ng, co-founder of Coursera (NYSE: COUR), CEO of DeepLearning.AI, and founding lead of the Google Brain project.
We’re learners, dreamers, and game-changers. Join us.
Workera is committed to providing an inclusive and respectful environment where equal employment opportunities are available to all applicants and employees. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), national origin, age, disability, genetic information, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
Hiring decisions are based on qualifications, merit, and business need.
Workera AI provides an AI-powered skills intelligence platform that helps enterprises measure and develop talent at scale. Our innovative skill assessments leverage generative AI and adaptive testing to deliver reliable insights, making it easier for organizations to adapt to the evolving demands of the workforce. Clients like Samsung and the U.S. Air Force rely on our technology to mobilize and optimize their talent strategies.
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