23 hours ago
Munich, GermanyStaff+
Responsibilities
- Design and own production architecture for data and NLP pipelines, AI/ML integrations, observability, and cloud or on-premises deployment.
- Build and validate the first production-ready product slice, making decisions about infrastructure, security, quality, and delivery speed.
- Set the engineering roadmap and establish architecture direction, standards, and team culture.
- Work with founders and users to iterate on product needs and technical priorities.
- Hire and manage an engineering team as the organization grows.
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, CI/CD, observability, and monitoring for data or model drift.
- Experience with PostgreSQL and at least one graph database, vector store, or search engine.
- Practical experience with embeddings, vector search, and language model integration, including cost, versioning, and non-determinism considerations.
- Ability to build clean APIs and functional analyst-facing interfaces using React, Vue, or a similar framework.
- Experience owning production systems across cloud and on-premises deployment.
- Willingness and eligibility to obtain a security clearance.
- Docker, Kubernetes or Helm, large-scale collection of online discourse data, and German language skills are useful additions.
Benefits
- Visa sponsorship is available.
- The role is on-site in Munich, Bavaria, Germany.
Tech Stack
Categories
BackendData Engineering