Founding Engineer, NLP Systems & Infrastructure

About the Role

This is a first technical hire position at an early-stage deep-tech startup building graph-native infrastructure for narrative intelligence, serving media organisations, government actors, and corporations facing information-manipulation threats. You will take a research-grade prototype to production, own the full engineering architecture, and grow and lead the engineering team as the company scales.

What You'll Do

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Design and own the production system architecture, covering orchestrated data and NLP pipelines, AI/ML integrations, CI/CD, observability, and both cloud and on-premises deployment.
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Own the engineering roadmap, balancing speed, quality, and security across a fast-moving product cycle.
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Build the first production slice entirely hands-on and validate infrastructure and security design decisions.
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Hire and manage a high-performing engineering team shortly after joining, taking on full staff responsibility.
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Set architecture direction, enforce engineering standards, and foster a positive team culture as the technical leader.
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Iterate closely with the founding team and end users in a tight-knit on-site team.
What We're Looking For
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5+ years building and operating data-intensive or NLP systems in production, including ingestion, deduplication, entity resolution, async queue processing, and orchestrated pipelines (Dagster, Prefect, Airflow, Temporal, or similar).
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Python as primary language with strong production engineering habits: automated testing, CI/CD, and observability including data and model-drift monitoring.
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Experience with PostgreSQL and at least one of: graph databases, vector stores, or search engines.
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Comfort with embeddings, vector search, and integrating language models while managing cost, versioning, and non-determinism.
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Ability to build clean APIs and functional analyst-facing UIs (React, Vue, or similar).
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Prior experience leading engineering at an early-stage technology company while remaining hands-on in delivery.
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Willingness and eligibility to obtain a security clearance in the near future.
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Nice to have: experience acquiring and ingesting web-scale discourse data (APIs, researcher access programmes, crawling) with awareness of legal and ethical constraints.
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Nice to have: experience packaging systems for customer-hosted deployment using Docker, Kubernetes, or Helm.
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Nice to have: German language proficiency.
Compensation & Benefits
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Salary range: 60,000 to 120,000 EUR annually, depending on experience.
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Significant early equity ownership expected given founding-team seniority.
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Visa sponsorship is available.
Location
On-site in Munich, Bavaria, Germany. The role is based full-time at the Munich office.