Founding Engineer

San Francisco, CA, USOn-siteLeadFound Aug 2
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pythonfastapivideo processingllmvlmdata pipelines

About the Role

This is a Founding Engineer position at an early-stage enterprise AI automation startup based in Munich, Germany. The company builds AI-powered tooling that learns from real human workflows — particularly screen- and video-based processes — and automates repetitive, high-volume tasks for enterprise customers, giving teams back time for higher-value work.

As a founding engineer, you will have significant ownership over both product and technical direction. You will work closely with enterprise customers (including PE portfolio company teams) to understand their processes and deliver automation solutions at scale. This role is on-site in Munich and is suited to someone who thrives in a small, high-intensity, founder-level environment.

What You'll Do

Build product features and core technical infrastructure for enterprise customers end-to-end

Design and implement data pipelines to ingest, convert, and aggregate large volumes (1,000+ hours) of video and other unstructured data into a structured data lake

Integrate Large Language Model (LLM) and Vision-Language Model (VLM) pipelines into production product workflows

Develop full-stack components using Python and FastAPI

Collaborate directly with enterprise customers to map existing processes and identify automation opportunities

Support a land-and-expand go-to-market strategy by enabling scalable, repeatable integrations

What We're Looking For

Must-haves:

3+ years of experience in full-stack engineering roles

Strong proficiency in Python and hands-on experience building production-ready RESTful APIs with FastAPI in scalable systems

Deep experience designing and implementing video processing data pipelines and related video analytics workflows

Experience building data pipelines to convert large volumes of unstructured video data into structured, queryable formats

Hands-on experience integrating, fine-tuning, and/or deploying LLMs and VLMs in production pipelines

Familiarity with cloud infras...

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