Founding Engineer

Clera
München, Germany
27 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
€80,000.0 - €120,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Cloud Computing Python (Programming Language) Performance Tuning Systems Integration Unstructured Data Video Editing Large Language Models Fastapi Data Lakes Restful APIs Data Pipelines

Job description

This is a founding engineering role at an early-stage enterprise AI startup based in Munich, Germany. The company builds AI-powered automation that learns from real human workflows - studying repetitive, screen-based processes and creating AI solutions that take them over, freeing teams to focus on higher-value work. Customers span professional services, insurance, financial services, and customer support, including PE-backed portfolio companies.

As a Founding Engineer, you will be a core contributor shaping both the product and the technical foundation from the ground up. You will work directly with customers, own significant technical decisions, and have meaningful equity in the company. This is a high-ownership, high-intensity role suited to someone who thrives in very small, fast-moving teams., * Design and implement data pipelines to convert and aggregate large volumes of video (1,000+ hours) and other unstructured data into a structured, queryable data lake

  • Integrate Large Language Model (LLM) and Vision-Language Model (VLM) pipelines into core product workflows
  • Develop full-stack components using Python and FastAPI
  • Collaborate directly with enterprise customers to map processes and identify automation opportunities
  • Support a land-and-expand go-to-market strategy by enabling scalable integrations across customer tech stacks

Requirements

Required

  • 3+ years of full-stack engineering experience
  • Strong proficiency in Python; 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 deploying LLMs and VLMs in production pipelines
  • Familiarity with cloud infrastructure and deployment practices
  • Early-stage startup experience - comfortable with ambiguity, high ownership, and shaping product direction
  • Strong written and verbal communication skills; proven ability to collaborate across small, cross-functional teams
  • Experience working directly with enterprise customers to understand and solve real business problems

Nice to Have

  • Background in business process automation, enterprise SaaS, or AI/ML tooling
  • Experience working with PE portfolio companies or professional services clients
  • Comfort with a founder-level contributor mindset - willing to wear multiple hats

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Good distractions

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