Resonance
Germany
Applied AI Engineer (Berlin)
- AI
- Embedded
- Python
- SQL
AI Summary
Join an early-stage AI and deep-tech team as its first technical hire, turning a research-grade prototype into reliable production software for enterprise and public-sector use. Design and own production architecture for orchestrated data and NLP pipelines, AI/ML integrations, CI/CD, observability, and cloud or on-premises deployment, then build and manage the engineering team. Requires at least 5 years building production data-intensive or NLP systems, Python as primary language, PostgreSQL plus a graph database/vector store/search engine, and experience with embeddings, vector search, and language model integrations.
Key Highlights
First technical hire for an early-stage AI and deep-tech team
Own production architecture for data and NLP pipelines, AI/ML integrations, CI/CD, observability, and deployment
Build the initial production system hands-on and later hire and manage the engineering team
Requires at least 5 years of production data-intensive or NLP systems experience
On-site in Munich, Bavaria, Germany; visa sponsorship available
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Key Responsibilities
Design and own production architecture for orchestrated data and NLP pipelines, AI/ML integrations, CI/CD, observability, and cloud or on-premises deployment.
Set the engineering roadmap while balancing delivery speed, quality, and security.
Build the initial production system hands-on and validate infrastructure and security decisions.
Hire and manage an engineering team, setting technical direction, standards, and a constructive team culture.
Work closely with founders and users to iterate on the product.
Technical Skills Required
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Benefits & Perks
Visa sponsorship
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Nice to Have
Docker, Kubernetes, or Helm experience
Experience with open-web or platform data acquisition
Early-stage startup experience
German-language work experience
Job Description
About the Role
Join an early-stage AI and deep-tech team as its first technical hire, turning a research-grade prototype into reliable production software for enterprise and public-sector use. You will lead architecture and delivery hands-on, then build and manage the engineering team.
What You'll Do
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