# Founding Engineer, NLP Systems & Infrastructure at Clera

Founding Engineer, NLP Systems & Infrastructure at Clera in Munich. On-site, full-time. Posted October 28, 2026.

- Company: Clera
- Location: Munich
- Workplace: On-site
- Job type: Full-time
- Posted: 2026-10-28
- Apply: https://jobs.ashbyhq.com/clera/e98c75c3-e2a2-4670-bc58-bd1926030676/application
- Source: https://jobmagic.ai/jobs/founding-engineer-nlp-systems-infrastructure-clera-a3xp9q

## Requirements

- At least 5 years building and operating production data-intensive or NLP systems, including ingestion, deduplication, entity resolution, queues, and orchestrated pipelines.
- Strong Python skills and experience with automated testing, CI/CD, and observability, including monitoring data or model drift.
- Experience with PostgreSQL and a graph database, vector store, or search engine, plus embeddings, vector search, and language model integrations.
- Ability to build clean APIs and functional analyst-facing interfaces using React, Vue, or a similar framework.
- Experience architecting production systems for cloud and on-premises deployment. Docker, Kubernetes, or Helm experience is an advantage.
- Willingness and eligibility to obtain German security clearance. Eligibility is subject to German requirements, including nationality restrictions under §13 SÜG.
- Experience with open-web or platform data, early-stage startups, German language, or public-sector and dual-use technology is a plus.

## Description

### About the Role

Join an early-stage dual-use AI company as its first technical hire, turning a research-grade prototype into dependable production software for enterprise and public-sector users. You will begin as a hands-on builder with broad technical ownership, then grow the engineering team and take on people leadership.

### 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.

- Set the engineering roadmap and balance delivery speed with quality and security.

- Build and validate the first production release, including infrastructure and security decisions.

- Hire and lead an engineering team, set technical standards, and support a positive team culture.

- Work closely with founders and users to iterate on the product.

### 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.

- Strong Python skills and experience with automated testing, CI/CD, and observability, including monitoring data or model drift.

- Experience with PostgreSQL and a graph database, vector store, or search engine, plus embeddings, vector search, and language model integrations.

- Ability to build clean APIs and functional analyst-facing interfaces using React, Vue, or a similar framework.

- Experience architecting production systems for cloud and on-premises deployment. Docker, Kubernetes, or Helm experience is an advantage.

- Willingness and eligibility to obtain German security clearance. Eligibility is subject to German requirements, including nationality restrictions under §13 SÜG.

- Experience with open-web or platform data, early-stage startups, German language, or public-sector and dual-use technology is a plus.

### Compensation & Benefits

Base salary: €60,000 to €120,000 annually. Visa sponsorship is available.

### Location

On-site in Munich, Bavaria, Germany.