We are looking for the first Data Science engineers to join our team and play a foundational role in building a private Large Language Model from the ground up. This is a rare opportunity to shape the technical direction, influence architectural decisions, and establish best practices for intelligent systems within the organization.
What you will do:
Design, build, and maintain classical machine learning models to support core product needs.
Develop agent-based systems (LLM agents, multi-step agents, agent-to-agent workflows) as part of the broader LLM ecosystem.
Conduct rigorous experiments and iterate quickly to validate approaches and improve system performance.
Build and optimize inference pipelines, including performance tuning, monitoring, and alerting.
Collaborate closely with Data Engineering to deploy models securely and reliably into production environments.
Contribute to defining standards, workflows, and tooling for the new Data Science function.
What we expect:
3+ years of hands-on experience with Python.
Strong SQL skills and understanding of data workflows.
Solid grasp of machine learning methods and their practical applications.
Experience building agents or agent-based systems is a strong plus.
Initiative, ownership, and readiness to work in a greenfield environment where many solutions must be defined from scratch.
