Software Engineer - AI Team
Workplace: Stockholm, Sweden
Expires: September 10, 2025
Join Apotea's Data and AI team as a Software Engineer skilled in .NET, SQL, and Python, focusing on low-latency application development, testing, monitoring, and AI-driven solution building to transform e-commerce and digital healthcare.
Main requirements:
  • Proficient in .NET, SQL, and Python
  • Experienced in A/B testing, end-to-end testing, and monitoring
  • Skilled in building low-latency, high-performance applications
  • Experience implementing website data collection mechanisms (user interaction tracking, event logging, data pipelines)
  • Strong data modeling skills for scalable and efficient systems
  • Familiarity with software architecture principles and critical design tradeoffs
  • Interest or experience in recommendation and search systems (plus)
Responsibilities:
  • Design, develop, and maintain high-performance, low-latency applications using .NET, SQL, and Python
  • Conduct A/B testing and end-to-end testing to ensure reliability and optimize performance
  • Implement and optimize website data collection mechanisms
  • Set up and maintain robust monitoring solutions
  • Collaborate with data engineers, ML engineers, and cross-functional teams to build AI-driven solutions
  • Contribute to modern data and AI architectures ensuring scalability and best practices
  • Improve customer experience and operational efficiency through innovative technology
Required hard skills:
  • .NET
  • SQL
  • Python
  • A/B testing
  • End-to-end testing
  • Monitoring
  • Data collection implementation on websites
  • Data modeling
  • Software architecture knowledge
Recommended hard skills:
  • Experience with cloud platforms (Azure or AWS)
  • Knowledge of CI/CD pipelines and DevOps practices
  • Familiarity with frontend technologies
  • Experience in e-commerce, logistics, or healthcare systems
Soft skills:
  • Problem-solving mindset
  • Collaborative team player
  • Ability to work independently
  • Passion for learning data, AI, ML
Coding languages:
  • C# (implied by .NET)
  • SQL
  • Python
Frameworks:
  • Microsoft .NET
Operating systems:
  • Not explicitly specified
Natural languages:
  • English (Proficient)
Cultural skills:
  • Inclusive workplace
  • Sustainability focus
  • Agile and flat organization
  • Cross-functional collaboration
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