# Founding Engineer, NLP Systems & Infrastructure at Clera

Founding Engineer, NLP Systems & Infrastructure at Clera in Munich. On-site, full-time. Posted November 5, 2026.

- Company: Clera
- Location: Munich
- Workplace: On-site
- Job type: Full-time
- Posted: 2026-11-05
- Apply: https://jobs.ashbyhq.com/clera/3105a1db-cfed-4251-ad41-105e488c3595/application
- Source: https://jobmagic.ai/jobs/founding-engineer-nlp-systems-infrastructure-clera-ghp8n8

## Requirements

- At least 5 years building and operating production data-intensive or NLP systems, including ingestion, deduplication, entity resolution, queues, and orchestrated pipelines.
- Python as your primary language, with experience in automated testing, CI/CD, and observability, including data and model drift monitoring.
- Production experience with PostgreSQL and at least one graph database, vector store, or search engine.
- Experience with embeddings, vector search, and language model integrations, including managing cost, versioning, and non-determinism.
- Ability to build clean APIs and functional analyst-facing interfaces using React, Vue, or similar technologies.
- Experience architecting production systems with cloud and on-premises deployment options. Docker, Kubernetes, or Helm experience is helpful.
- Willingness and eligibility to obtain German security clearance. Eligibility is subject to German clearance requirements.
- Experience with open-web or platform data acquisition, early-stage startups, or German-language work is beneficial.

## 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

- 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.

### 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.

- Python as your primary language, with experience in automated testing, CI/CD, and observability, including data and model drift monitoring.

- Production experience with PostgreSQL and at least one graph database, vector store, or search engine.

- Experience with embeddings, vector search, and language model integrations, including managing cost, versioning, and non-determinism.

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

- Experience architecting production systems with cloud and on-premises deployment options. Docker, Kubernetes, or Helm experience is helpful.

- Willingness and eligibility to obtain German security clearance. Eligibility is subject to German clearance requirements.

- Experience with open-web or platform data acquisition, early-stage startups, or German-language work is beneficial.

### Compensation & Benefits

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

### Location

On-site in Munich, Bavaria, Germany.