Source-listed Job

Founding Engineer, NLP Systems & Infrastructure

ABOUT THE ROLE

Job Source description available
Clera Munich Source published Oct 20, 2026 Source retrieved Oct 21, 2026
Source: Clera (ashby) · A retrieval date records when our system last obtained the source record. It does not guarantee the vacancy is still open or that every detail has been independently checked.
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EmploymentFull-time

Overview

ABOUT THE ROLE

Full job description

ABOUT THE ROLE Join an early-stage AI and deep-tech team as its first technical hire, turning a research-grade NLP prototype into a reliable production system. You will shape the architecture and engineering roadmap, contribute hands-on, and build and lead the engineering team as it grows. The product helps organizations understand complex information environments and respond to emerging risks. WHAT YOU'LL DO

  • Design and own production architecture for data and NLP pipelines, AI/ML integrations, CI/CD, observability, and cloud or on-premises deployments.
  • Build and validate the first production-ready product slice, including infrastructure and security decisions.
  • Set the engineering roadmap while balancing delivery speed, quality, and security.
  • Establish technical direction, engineering standards, and a constructive team culture.
  • Hire and manage an engineering team as the organization grows, while working closely with founders and users. WHAT WE'RE LOOKING FOR
  • At least 5 years building and operating production data-intensive or NLP systems, including ingestion, deduplication, entity resolution, queues, and orchestrated pipelines.
  • Python as your primary language, with experience in automated testing, CI/CD, and observability, including data and model drift monitoring.
  • Production architecture experience across deployment options, including cloud and on-premises.
  • 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 analyst-facing interfaces using React, Vue, or similar technologies.
  • Willingness and eligibility to obtain a security clearance in the near future.
  • Experience with Docker, Kubernetes, or Helm, large-scale open-web data collection, and its legal and ethical constraints is beneficial. German proficiency is also beneficial. COMPENSATION & BENEFITS Salary: €60,000 to €120,000 annually. Visa sponsorship is available. LOCATION On-site in Munich, Bavaria, Germany.

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