Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision, natural language processing, and audio recognition. We help organizations transform unstructured images, video, text, and audio data into structured data at a significantly faster and more accurate rate than humans would be able to do on their own. Founded in 2013 by Matt Zeiler, Ph.D. Clarifai has been a market leader in AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai continues to grow with employees remotely based throughout the United States and in Tallinn, Estonia.
We have raised $100M in funding to date, with $60M coming from our most recent Series C, and are backed by industry leaders like Menlo Ventures, Union Square Ventures, Lux Capital, New Enterprise Associates, LDV Capital, Corazon Capital, Google Ventures, NVIDIA, Qualcomm and Osage.
Clarifai is proud to be an equal opportunity workplace dedicated to pursuing, hiring, and retaining a diverse workforce.
The Opportunity:As a Senior Engineer, you build the systems and services behind the Clarifai magic. You will focus on the development of the model workflow engine and of Retrieval Augmented Generation (RAG) systems.
Impact:You build the systems and services that will power some of Clarifai’s newest offerings. They will enable customers to perform automated tasks and synthesise internal information using LLMs and other models.
Requirements:- Minimum of 6 years of backend software development experience required.
- Proficiency in one or more object-oriented programming languages and relational database management systems.
- Ability to manage multiple projects simultaneously is highly valued at Clarifai.
- Thrives in a fast-paced work environment.
- Experience working on distributed teams is preferred, with strong communication skills and transparency being key.
- Enjoys mentoring junior engineers and interns.
- Familiarity with Agile methodologies is a plus.
- Experience with GO or Python
- ML related experience
- Experience with Kubernetes
