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Founding Engineer, NLP Systems & Infrastructure
Clera · Munich
Visa sponsored On-site / hybridData Science / ML 1 day ago
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About the job
Skills mentioned in this posting (10)
PythonCI/CDReactAIMachine LearningAPIsCloudPostgreSQLVue.jsNLP
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ABOUT THE ROLE
As the first technical hire at an early-stage AI infrastructure company, you will turn a research-grade prototype into a reliable production system for enterprise and public-sector users. You will begin hands-on, own the engineering direction, and grow into building and leading the engineering team.
WHAT YOU'LL DO
- Architect and build production data and NLP pipelines, AI/ML integrations, CI/CD, observability, and cloud or on-premises deployment options.
- Own the engineering roadmap while balancing delivery speed, quality, and security.
- Build and validate the first production release, including infrastructure and security design decisions.
- Set engineering standards, guide technical direction, and hire and manage an engineering team as the company grows.
- Work closely with founders and users to iterate on the product.
WHAT WE'RE LOOKING FOR
- 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 practices, including automated testing, CI/CD, and monitoring for data and model drift.
- Experience with PostgreSQL and a graph database, vector store, or search engine, plus embeddings, vector search, and language model integrations.
- Ability to build clean APIs and analyst-facing interfaces with React, Vue, or similar technologies.
- Experience owning production architecture and deployment across cloud and on-premises environments.
- Willingness and eligibility to obtain a security clearance; experience with web data acquisition, customer-hosted deployment, or German is helpful.
COMPENSATION & BENEFITS
Salary range: €60,000 to €120,000 annually. Visa sponsorship is available.
LOCATION
On-site in Munich, Bavaria, Germany.