Company Overiew:

An end-to-end production AI platform designed to reduce the friction between the ML research and the production phases.

Qwak allows data scientists and data engineers to build, deploy, monitor and consume their models in production with minimal engineering friction.

The Qwak Platform enables the delivery of AI applications at speed, from idea to high-scale. Build, deploy, manage and monitor all your AI workflows, from GenAI and LLMs to classic ML, in a single platform.

We are looking for a strong software engineer to join our Data and LLM domains, in charge of building and driving forward our LLMOps Platform, Feature and Vector Stores.

We deeply value fast learners and independent thinkers with a proactive mindset, who are able to work independently and as a part of a team.

Responsibilities:

• Collaborate closely with talented individuals to drive innovation within Qwak's core business.
• Play a significant role in enhancing and expanding our Feature and Vector stores, as well as shaping our newly launched LLM management offering.
• Work with the latest technologies and tools in the data space.
• Gain professional development and advancement opportunities within our fast-growing organization.
• Improve the efficiency, scalability, and stability of various components within our ecosystem.
• Advocate for robust testing and code design principles.
• Solve complex problems and own major features end-to-end.

Requirements:

• A Software Engineer with 4+ years of experience, preferably using Java/Scala
• Communicative and an advocate of a culture of open communication within the team and across the organization
• Passionate about architecting and constructing data-centric architectures
• Experienced in data tools such as Spark, Flink, Kafka, or other data tools
• BSc in Computer Science / equivalent field - an advantage
• Bonus points if you have experience developing in Python

The tools you know are less important than your problem solving skills!