About the Role
This is a founding engineering role at an early-stage enterprise AI startup, sitting at the heart of the core product and technical infrastructure. You'll work directly alongside the founding team to build AI-powered automation tools that help enterprise customers offload repetitive, high-volume work — making a tangible impact from day one.
What You'll Do
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Build and ship product features and technical tooling directly for enterprise customers.
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Design and implement data pipelines to convert and aggregate large volumes (1,000+ hours) of video and other unstructured data into a data lake.
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Integrate LLM and VLM pipelines into core product workflows.
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Develop full-stack components using Python and FastAPI.
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Collaborate with customer teams (including PE portfolio companies) to map existing processes and identify automation opportunities.
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Enable scalable integrations to support land-and-expand customer growth strategies.
What We're Looking For
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3+ years of full-stack engineering experience building and shipping production systems.
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Strong proficiency in Python and hands-on experience building production-ready RESTful APIs with FastAPI in scalable systems.
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Proven experience integrating, fine-tuning, and deploying LLMs and/or VLMs in production pipelines.
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Deep experience designing and implementing data pipelines for large volumes of unstructured video data, including video analytics workflows.
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Hands-on experience with cloud platforms, infrastructure, and deployment.
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Prior experience at an early-stage startup with direct involvement in product and technical decisions.
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Experience working directly with enterprise customers to understand workflows and drive automation solutions.
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Strong written and verbal communication skills; comfortable collaborating across small, cross-functional teams.
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A founder-level mindset — high ownership, comfort with ambiguity, and ability to shape product direction.
Compensation & Benefits
Salary range: €80,000 – €120,000 per year, plus meaningful equity as a founding team member. Visa sponsorship is available.
Location
On-site in Munich, Germany.