3 days ago
Munich, GermanyStaff+
Responsibilities
- Architect production systems covering orchestrated data and NLP pipelines, AI/ML integrations, observability, and cloud or on-premises deployment.
- Set and own the engineering roadmap while balancing delivery speed, quality, and security.
- Build and validate the first production release hands-on, including infrastructure and security decisions.
- Hire and lead an engineering team while establishing technical direction, engineering standards, and team culture.
- Collaborate with company leadership and users to iterate on the product.
Requirements
- At least 5 years of experience building and operating production data-intensive or NLP systems, including ingestion, deduplication, entity resolution, queues, and orchestrated pipelines.
- Strong Python skills and production engineering experience with automated testing, monitoring, CI/CD, and data or model drift monitoring.
- Experience with PostgreSQL and at least one graph database, vector store, or search engine, plus embeddings, vector search, and language-model integrations.
- Experience managing language-model costs, versioning, and non-deterministic behavior.
- Ability to build clean APIs and functional analyst-facing interfaces using React, Vue, or similar technologies.
- Experience owning production architecture, observability, and cloud and on-premises deployment options.
- Willingness and eligibility to obtain a security clearance in the near future.
- Open-web or platform data acquisition experience, legal and ethical awareness, German language skills, and early-stage startup experience are valued or helpful.
Benefits
- Base salary of €60,000 to €120,000 annually.
- Visa sponsorship is available.
- On-site work in Munich, Bavaria, Germany.
Tech Stack
Categories
BackendData Engineering