Teams at IPRally Technologies Oy

Build and operate production data pipelines for patent, research, and company data using Python and Dagster. Model messy real-world data, develop agent evaluation harnesses, implement data quality monitoring, and deliver reliable data to product stores and APIs. Collaborate with product and ML teams, evaluate new data sources, troubleshoot source failures, and define measurable standards for data quality. The role involves working with large, noisy datasets and shaping how AI agents support data processing.

Design and oversee reliable systems connecting product, data, infrastructure, and AI agents. Make architectural decisions, establish boundaries and guardrails, review engineering and agent-produced work, and assess failure modes, security, performance, and cost. The role requires production software engineering experience, strong systems thinking, clear technical communication, and practical use of AI coding agents. Experience with search, machine learning systems, or large datasets is advantageous but not required.

Open application for future opportunities at a growing AI company, primarily across software development and sales. Potential technology roles include Clojure development, machine learning engineering, data engineering, DevOps, security engineering, and product design. Commercial opportunities include account executive and customer success positions. The company offers flexible work arrangements, professional growth, AI and deep learning exposure, competitive compensation, benefits, and six weeks of holiday.