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Founding Engineer, NLP Systems & Infrastructure
AI / ML Engineer
• Vor Ort
• Vollzeit
•
Munich, Deutschland
You are the first technical hire at an early-stage deep-tech startup building graph-native infrastructure for narrative intelligence. You take a research-grade prototype to production, own the engineering architecture and later grow and lead the engineering team.
Responsibilities
- ▹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
- ▹Own the engineering roadmap, balancing speed, quality and security across a fast-moving product cycle
- ▹Build the first production slice entirely hands-on and validate infrastructure and security design decisions
- ▹Hire and manage a high-performing engineering team shortly after joining, taking on full staff responsibility
- ▹Set architecture direction, enforce engineering standards and foster a positive team culture as the technical leader
- ▹Iterate closely with the founding team and end users in a tight-knit on-site team
Requirements
- ▹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)
- ▹Python as primary language with strong production engineering habits: automated testing, CI/CD and observability including data and model-drift monitoring
- ▹Experience with PostgreSQL and at least one of: graph databases, vector stores or search engines
- ▹Comfort with embeddings, vector search and integrating language models while managing cost, versioning and non-determinism
- ▹Ability to build clean APIs and functional analyst-facing UIs (React, Vue or similar)
- ▹Prior experience leading engineering at an early-stage technology company while remaining hands-on in delivery
- ▹Willingness and eligibility to obtain a security clearance in the near future
Nice to have
- ▹Experience acquiring and ingesting web-scale discourse data (APIs, researcher access programmes, crawling) with awareness of legal and ethical constraints
- ▹Experience packaging systems for customer-hosted deployment using Docker, Kubernetes or Helm
- ▹German language proficiency
Soft skills
LeadershipTeam buildingCommunicationAutonomy
What we offer
- ▹Salary range of 60,000 to 120,000 EUR annually, depending on experience
- ▹Significant early equity ownership given founding-team seniority
- ▹Visa sponsorship
About the company
An early-stage deep-tech startup building graph-native infrastructure for narrative intelligence, serving media organisations, government actors and corporations facing information-manipulation threats.
Languages: Német: előny
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