Data Science Infrastructure Software Engineer (GenAI) — hybrid work in Warsaw

Що робити

GenAI Development: Design, develop, and maintain features for our GenAI analytics agent (DataWhiz) that serve the entire organization for complex data analytical inquiries.
Framework Optimization: Improve and scale the internal GenAI framework, including fixing bugs and optimizing the core engine for performance and reliability.
UI/UX Enhancement: Build and implement new UI features for the GenAI chat interface to ensure a seamless experience for internal stakeholders.
Cross-Functional Collaboration: Partner with development, product, and UX teams to define product requirements, while collaborating with core platform engineers to ensure infrastructure alignment.
Engineering Excellence: Bridge the gap between Engineering and Data Science by applying software engineering best practices (code reviews, CI/CD, scalability) to DS workflows.

Location in Warsaw
5+ years of experience in software development, with a focus on infrastructure or data-centric applications.
Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
Strong proficiency in Python and a solid understanding of backend architecture.
Experience with SQL and the ability to handle complex data structures.

Generative AI Expertise: Familiarity with LLM orchestration frameworks, prompt engineering, or vector databases.
Polyglot Programming: Experience with Kotlin, Java, Bash, or HCL (Terraform).
Frontend Interest: Experience building chat interfaces or data visualization dashboards.
Large-Scale Systems: Experience working on large-scale infrastructure that serves a diverse range of internal or external users.