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Software Engineer (Junior+)

Hamburg, Germany Fully Remote or Hamburg Part-time or Full-time Junior+

About the Role

Join our engineering team to build the AI systems that power Gradient Technologies. You will work across our full stack — from data processing to model development to production systems. This is a hands-on role where your work goes live and has real impact.

What You Will Do

  • Build and improve our AI training and inference pipelines
  • Develop data processing systems for financial documents and structured data
  • Implement and optimize portfolio construction algorithms
  • Contribute to our product development for financial analysts
  • Analyze results, identify improvements, and iterate — follow the gradient

What We Are Looking For

  • Proficiency in Python
  • Interest in machine learning and AI
  • Comfort with data processing and numerical computing
  • Eagerness to learn and iterate — we believe in doing the obvious things well
  • Effective communication skills in English (German is a plus)

Nice to Have

  • Experience with modern ML frameworks and model training
  • Knowledge of financial markets or quantitative finance
  • Experience with cloud infrastructure and GPU computing
  • Understanding of data pipelines and ETL processes

What We Offer

  • Fixed-term contract: Initially limited to one year, part-time or full-time
  • Flexible location: Fully remote or based in Hamburg — your choice
  • Direct founder access: Work closely with Pablo and Jan from day one
  • Research-meets-production: Your models go live, not just into papers
  • Growth trajectory: Grow with us as we scale from early stage to established fintech

About Gradient Technologies

Gradient Technologies GmbH is a Hamburg-based AI and software company focused on financial analysis. We build AI systems that process large volumes of financial data to generate equity return forecasts and construct market-neutral investment strategies.

Our philosophy: Efficiency over complexity. Do the obvious things well. Follow the gradient.

How to Apply

Send your CV and a brief note (or a link to your GitHub) to contact@gradtec.ai.