Senior Full Stack Engineer

Scavenger AI is a Decision Intelligence platform that helps mid-sized companies create their own data analyses in seconds using natural language.

As a Senior Full Stack Engineer (Python & React), you will be part of our core team. You’ll work directly on the product with experienced colleagues in Tech, Data, and Product.

Scavenger AI

EH

Ellen Hermann

Skills needed

Skills necessary for this role
Required experience for this role

- At least 4 years of experience with Python and React - Strong knowledge of AI/ML, LLMs, and Data Science - You’ve already fine-tuned models - Experience in startups or tech environments; you're excited about ownership and responsibility - Academic or professional background at a top university, tech company, or research institute - A solid understanding of business and economic contexts - You constantly teach yourself new skills and love experimenting with new technologies - You enjoy fixing bugs and have fun with probabilistic testing - You communicate clearly and solution-oriented (Slack, Jira) - You speak up immediately when stuck and appreciate the team around you

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Working Conditions

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About the job

Frontend: You will develop data visualizations and user-friendly chat and BI interfaces. Backend: You’ll enable AI-powered data engineering with BI and ERP systems, build SQL database connectors, implement semantic layering, and automate data cleaning processes. Testing: You’ll conduct manual testing and “human sense” checks based on LLMs, and test new features together with our users. Innovation: You’ll contribute your own ideas and actively shape the product strategy.

Work on a scalable product with direct user impact Lots of responsibility, minimal bureaucracy A diverse, young, and highly motivated team Strong influence on the technical roadmap Flexible work from different locations such as Aachen, Vienna and Berlin.

About the startup project

Information about the start-up project

Scavenger AI is a no-code analytics platform that enables business teams to interact with complex company data using natural language. Instead of relying on analysts or rigid dashboards, users can ask plain English questions and instantly receive visual, actionable answers. Scavenger integrates seamlessly with internal databases, leveraging LLMs to structure, interpret, and analyze data across departments—from sales to operations. Built for fast onboarding and data privacy compliance, it empowers teams to make smarter, faster decisions based on real-time insights. Scavenger turns data chaos into clarity—without the wait, without the bottlenecks. Website: https://www.scavenger-ai.com/ LinkedIn: https://www.linkedin.com/company/scavenger-ai/

Location of the start-up project.

Berlin, Vienna, Cologne, Aachen, Frankfurt, Nuremberg (all hybrid)