Own the end-to-end lifecycle of AI-driven features—from prototyping and experimentation to production deployment and customer delivery.
Design, build, and evolve our semantic data layer to enable scalable, high-quality AI and analytics use cases.
Collaborate with engineering, product, and data teams to translate ambiguous requirements into robust technical solutions.
Diagnose, triage, and resolve production issues quickly, ensuring reliability and continuous improvement of deployed systems.

Strong background in data analytics, data science, and/or data warehousing.
Deep expertise in SQL, including performance optimization and complex query design.
Proficiency in Python or similar language for data processing and AI integration.
Experience working in a test-driven environment and writing unit and integration tests.
Proven ability in technical troubleshooting.
Capable of working independently as well as collaboratively with teams across different time zones.
Experience working with vulnerability scanning technologies on any part of the tech stack (e.g., SCA, SAST, DAST, IAST, VM Scanning, Container, etc.) (Preferred).
Experience with column store databases and columnar data, especially using SingleStore/MEMSQL (Preferred).
Experience integrating AI/LLM-driven features with data platform (Preferred).
Familiarity with Agile/Scrum methodologies in a professional setting (Preferred).
Experience maintaining applications on Linux platforms in cloud environments (Preferred).
Experience with modern versions of PHP, and the Zend and Laminas Frameworks (Preferred).

Senior Software Engineer – Semantic Layer, AI Interfaces

Key skills