Lovi is an all-in-one AI cosmetologist that helps people evaluate their skin conditions, select the appropriate skincare program, and follow it for the best results.
We’ve developed the iOS version of our app. Here are some key features:
- Personalized skin evaluations through a unique 12D skin analysis.
- Customized skincare programs based on cosmetic scanner and ingredient analysis, all scientifically backed.
- Daily personalized plan with specific actions to support the skincare journey.
- Ongoing guidance through the Lovi AI Assistant and a user-friendly tracker for monitoring progress and developing healthy habits.
Still, we are at our early stages now. We need to continue developing our backend services to improve the reliability, security, and effectiveness of our infrastructure. At the same time, we need to implement a large variety of new user scenarios. Last but not least: we need to improve our analysis algorithms and data processing pipelines. So, for a backend engineer, we’re happy to propose a wide range of opportunities — from building infrastructure to research.
What do we need
The backend should meet various needs, including:
- serving the interactive user traffic
- inferencing machine learning models
- running regular processes to aggregate various data sources and provide the endpoints for the results
- storing and processing the logs data
and, for sure, we'll need a good monitoring system, tests, CI/CD pipelines, and almost everything you may imagine when speaking of the backend! We're with cloud solutions, so the corresponding experience should be handy.
We're looking for a solid professional to continue building the backend infrastructure and join the team responsible person for it. If you also have the ambition to lead the corresponding team in the future — you're a top-notch candidate!
Why work with us
- A rare opportunity to launch a new big thing from scratch, not just continue some predecessors' work. We're working in a high-tech field and have the opportunity to improve the quality of many peoples' lives heavily
- The co-founders have vast experience and accomplishments in the industry. Therefore, working with such people closely is a great way to learn; moreover, their references might become a game-changer for any further career prospects
- You'll be able to take advantage of all the recent technologies, methods, and tools since we're a brand new company, and there's no legacy or technical debt to be mindful of
- Being responsible for the whole backend architecture of an ML-based application is an awesome way to obtain decent knowledge and hands-on experience in various ML-related topics while having a job not requiring any ML background
- We're aiming at the worldwide market, and we'll work with user data, so we'll need to satisfy. A lot of regulations when working with personal and medical data. Having such an experience is quite rare and extremely valuable in the market!
- We work with the best experts to support our knowledge when we don't have enough competencies. So whatever is unclear — we have an expert to help overcome the issue!
Should we mention that joining the startup in the very early stage means an opportunity to lead a large department in the observable future? Indeed we should! But it also means taking maximum out of the employee stock ownership plan. The fewer employees we have — the more shares we might offer. Join us while we're still small and benefit from our growth!
What we expect
- Knowledge of Go / Python, or any other imperative programming language combined with the will to learn Go and Python
- Experience in developing high compute-consuming systems
- Familiarity with web frameworks such as Flask, Django, etc.
- Familiarity with major system design concepts: load balancing, caching, databases, etc.
- Familiarity with modern cloud systems: AWS, Google Cloud, MS Azure, or similar
- Passion about healthcare, helping people, and launching awesome products
Our current stack
- AWS: Fargate, S3, DynamoDB
- Golang, Python
- GitLab
Our current team
The current team is pretty small: we have less than thirty team members. Most of our fellow colleagues are engineers — ML, backend, iOS, and web developers. The product team also includes several designers, analysts, product and content managers as well as UX researchers. We collaborate with many scientists to make sure our app is in line with the existing body of research.
Most of the team is based in Limassol (Cyprus), and we are ready to help with relocation or discuss an opportunity to work remotely.
Please join us in our adventure!
