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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.
Weβve 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.
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, weβre happy to propose a wide range of opportunities from building infrastructure to research.
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.
What we expect:
Experience building production web services in Go is a strong plus. Alternatively, solid experience with Python or other imperative programming languages, combined with strong motivation to learn and transition to Go, is also welcome.
Experience in developing high compute-consuming systems
Experience utilizing web frameworks and libraries (e.g. Gin, gorilla/mux, Flask, Django, etc) is a strong plus.
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
Why work with us:
A rare opportunity to launch a new big thing from scratch, not just continue some predecessors’ work.
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.
An opportunity to significantly change many people’s lives by helping them achieve the appearance they want for themselves, richly increasing their life quality. Weβre aiming at the whole worldwide market.
Joining the startup in the very early stage means an opportunity to take the maximum out of the employee stock ownership plan. Join us while we’re still small and benefit from our growth!
Come be part of a fast-growing startup that is hungry for innovation and join our incredibly talented PM team to learn from and partner with!
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 designers, product and content managers as well as UX researcher. We collaborate with many scientists to make sure our app is in line with the existing body of research.
Please join us in our adventure!