Clarifai is an artificial intelligence company that excels at visual recognition. We do not sell an abstract, futuristic technology - we sell a solution that businesses can use to solve real-world problems. We believe that the same AI technology that gives big tech companies a competitive edge should be available to developers and businesses of any size or budget. That’s why we build products to make it easy, quick, and inexpensive for developers and businesses to innovate with AI, go to market faster, and build better customer experiences.
We have secured a $30M Series B round of funding and are backed by Menlo Ventures, Google Ventures, USV, NVIDIA, Qualcomm, Osage, Lux Capital, LDV Capital, and Corazon Capital. To continue to succeed, we need people like you to join the team!
Clarifai is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
The AI Deployment unit is an engineering team dedicated to helping Clarifai customers extract maximum value from our platform. As Deployment Engineer, you will bring your technical know-how to the front lines, working directly with customers on deployment, integration, custom features and onboarding.
Deploy cutting edge complex technical solutions to solve our customers’ most challenging problems
You will build and maintain intuitive web applications that will give users hands-on access to our machine learning platform and custom training, which allows users to train their own models without using any code.
You will develop reusable modules, components, and build tools for both internal and external use cases.
You will develop and maintain API services.
You will build and use benchmarking and load testing tools.
You will design, deploy and manage web-scale distributed storage systems of various flavors, both relational (PostgreSQL) and nosql (redis, elasticsearch, etc.).
What Skills You Bring
Experience working directly with clients and customer
You handle pressure well and you love being part of a team that wins.
A minimum of 2 years of professional full-stack development experience
Experience with GO and Python is a big plus
Experience building and consuming RESTful APIs
Experience building enterprise software is a plus
It would be a plus if you have a background in search engines or information retrieval, cloud computing infrastructure (AWS), and/or containerization systems (Docker/K8s).
Great to Have: Experience working on U.S. Government projects