2 months ago
Brussels, BelgiumSenior
Responsibilities
- Own end-to-end technical delivery of unstructured AI systems from prototype through stable production deployment.
- Build and scale full-stack systems that ingest, process, and enrich large volumes of unstructured enterprise content.
- Write and review production-grade Python and FastAPI backend services.
- Build and deploy large-scale document-processing systems.
- Integrate enterprise data sources such as SharePoint, Salesforce, and internal APIs to provide context for AI features.
- Partner with engineering, product, sales, and field teams from prototype through rollout.
- Define scope and acceptance criteria for ambiguous problems and ship robust MVPs and production capabilities.
- Occasionally contribute to modern frontend development.
- Drive enterprise-grade AI product features, high-performance data pipelines, context engineering, and reliable document processing.
Requirements
- Strong proficiency in Python for data processing, API development, and integrations.
- Hands-on experience with LLM-based and AI-driven enrichment such as classification, entity extraction, deduplication, and PII detection.
- Production experience with Spark or comparable big data frameworks, including tuning and debugging jobs at scale.
- Experience shipping tested and reviewed production services rather than relying on notebooks.
- Experience independently defining and shipping an MVP for a vaguely scoped problem.
- Understanding of data pipelines, microservice architecture, and API design.
- Experience ingesting and processing data from third-party enterprise sources such as SharePoint, OneDrive, Salesforce, and SaaS-based knowledge bases.
- Familiarity with metadata systems, data cataloging, or document AI workflows.
- Knowledge of model evaluation best practices and experience with search relevance.
- Bachelor’s degree or equivalent related working experience.
- Practical agentic engineering experience, including agent-loop design, guardrails, structured outputs, context management, testing, review gates, and repository conventions.
- Strong communication, stakeholder-management, risk-identification, decision-making, and collaboration skills across technical and business teams.
- Work authorization to work in Brussels is required.
Benefits
- Hybrid role based in Brussels, with at least two days per week in the office.
- Flexible benefits program supporting employees and their families through varied needs and life events.
- Competitive compensation, health coverage, and time off.
- Equal opportunity employer with accommodation support.
Tech Stack
Categories
About Collibra
Collibra builds a cloud-based Data Intelligence Platform for enterprises to govern, catalog, and ensure the quality and privacy of data used across analytics and AI. It sells subscription software with professional services to accelerate adoption by data, governance, and compliance teams. Founded in 2008 and headquartered in New York, Collibra is privately held and reports serving 700+ customers, including dozens of Fortune 500 companies.