Founding Engineer, NLP Systems & Infrastructure

About the Role

As the first technical hire at an early-stage AI infrastructure company, you will turn a research-grade prototype into a reliable production system for enterprise and public-sector users. You will begin hands-on, own the engineering direction, and grow into building and leading the engineering team.

What You'll Do

• Architect and build production data and NLP pipelines, AI/ML integrations, CI/CD, observability, and cloud or on-premises deployment options.

• Own the engineering roadmap while balancing delivery speed, quality, and security.

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

• Set engineering standards, guide technical direction, and hire and manage an engineering team as the company grows.

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

What We're Looking For

• At least 5 years of experience building and operating production data-intensive or NLP systems, including ingestion, deduplication, entity resolution, queues, and orchestrated pipelines.

• Strong Python skills and production engineering practices, including automated testing, CI/CD, and monitoring for data and 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 analyst-facing interfaces with React, Vue, or similar technologies.

• Experience owning production architecture and deployment across cloud and on-premises environments.

• Willingness and eligibility to obtain a security clearance; experience with web data acquisition, customer-hosted deployment, or German is helpful.

Compensation & Benefits

Salary range: €60,000 to €120,000 annually. Visa sponsorship is available.

Location

On-site in Munich, Bavaria, Germany.