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Founding Engineer, NLP Systems & Infrastructure

ABOUT THE ROLE

Job Full source details
Clera Munich Source published Sep 22, 2026 Verified 2 hours ago
✓ 100% verification score · Source: Clera (ashby) · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
EmploymentFull-time

Overview

ABOUT THE ROLE

Full job description

ABOUT THE ROLE This is a first engineering hire at a deep-tech startup building graph-native infrastructure for narrative intelligence, serving media organisations, public-sector bodies, and corporations facing information-manipulation threats. You will take a research-grade prototype to production and, shortly after, build and lead the engineering team that grows alongside the product. WHAT YOU'LL DO

  • Own the production architecture end-to-end: orchestrated data and NLP pipelines, AI/ML integrations, CI/CD, observability, and deployment options spanning cloud and on-premises environments.
  • Drive the engineering roadmap, balancing speed, quality, and security requirements for enterprise and public-sector customers.
  • Develop the first production slice hands-on and validate infrastructure and security design decisions directly.
  • Hire, build, and manage a high-performing engineering team as the company scales.
  • Set architecture direction, enforce engineering standards, and foster a healthy team culture as the technical leader.
  • Collaborate closely with the founders and users in a fast-moving, tight-knit on-site team. WHAT WE'RE LOOKING FOR
  • Strong Python skills with production-quality habits: automated testing, CI/CD, and observability including data and model drift monitoring.
  • Proven experience building and operating data-intensive or NLP systems in production: ingestion, deduplication, entity resolution, async queue processing, and orchestrated pipelines (Dagster, Prefect, Airflow, Temporal, or similar).
  • Solid experience with PostgreSQL and at least one of: graph databases, vector stores, or search engines.
  • Comfortable with embeddings, vector search, and integrating language models while managing cost, versioning, and non-determinism.
  • Able to work across the full stack when needed, including building clean APIs and functional analyst-facing UIs (React, Vue, or similar).
  • Willing and eligible to obtain a security clearance.
  • Prior experience at an early-stage startup.
  • German language skills (spoken and written).
  • Bonus: experience acquiring and ingesting discourse data from platforms and the open web at scale, with awareness of the legal and ethical constraints involved.
  • Bonus: experience packaging systems for customer-hosted deployment (Docker, Kubernetes/Helm). COMPENSATION & BENEFITS
  • Salary range: 60,000 to 120,000 EUR annually, depending on experience.
  • Visa sponsorship is available. LOCATION On-site in Munich, Bavaria, Germany.

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