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Almedia

Performance-based rewarded-user acquisition for apps

Junior Engineer - Multiple Teams

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBerlin, Germany

About the Job

Requirements

  • Solid engineering fundamentals demonstrated through shipped projects, open-source contributions, internships, or strong coursework.
  • Ability to anticipate performance issues, failure modes, and edge cases.
  • Ability to debug problems and identify root causes.
  • For the TypeScript track, strong TypeScript understanding focused on either Node.js or React.js.
  • For the Python backend track, strong Python and SQL skills.
  • For the DevOps track, strong TypeScript, Python, or Rust skills.
  • For the AI track, hands-on experience building with large language models or machine learning models.

Responsibilities

  • Build features in web and mobile applications and test them with real users for the TypeScript track.
  • Build backend services for rewards, offers, and payments for millions of users for the Python track.
  • Build and improve CI/CD pipelines, deployments, and AI tooling for the DevOps track.
  • Build AI features and automation, including AI-powered product features and internal agents, for the AI track.
  • Own engineering problems from initial idea through production.
  • Make progress on vaguely defined problems and take them further without waiting for a specification.
  • Use AI tools to work faster and verify their output.
  • Investigate bugs until the underlying cause is found.

Desired Qualifications

  • Kubernetes or GitHub Actions experience for the DevOps track.
  • A live product with real users, a system built and hardened independently, or hackathon or competitive programming results.

About the Company

Almedia

Performance-based rewarded-user acquisition for apps

Almedia is a Berlin-based adtech company that offers an Engagement Engine to help mobile game developers and app publishers acquire high-quality users through rewarded actions. The platform uses data analysis and machine learning to optimize real-time ROAS and charges advertisers only when users complete high-value objectives, with automated fraud prevention and first-party data from owned platforms like FreeCash. It differentiates itself by being bootstrapped, focusing on long-term player value, and maintaining transparent data exchange, avoiding reliance on third-party tracking. Its goal is to enable sustainable growth for B2B clients across global markets (NA, Europe, Asia) in mobile gaming and fintech through scalable, performance-based user acquisition.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Berlin, Germany
Founded
2020

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