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Full Stack Engineer

Posted 7 days agoViewed

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💎 Seniority level: Senior, 5 years

📍 Location: Europe, Lateen America

💸 Salary: 75000.0 - 90000.0 USD per year

🔍 Industry: Software Development

🏢 Company: Proton.ai👥 11-50💰 $20,000,000 Series A about 3 years agoCRMSales AutomationArtificial Intelligence (AI)SaaS

⏳ Experience: 5 years

🪄 Skills: Backend DevelopmentPythonSQLCloud ComputingFrontend DevelopmentFull Stack DevelopmentGCPMachine LearningAlgorithmsData StructuresCI/CDRESTful APIsSoftware Engineering

Requirements:
  • Strong full stack engineering skills: You have at least 5 years of experience as a software engineer with proven ability to work across the entire stack (frontend, backend, databases).
  • Database expertise: You're experienced with designing efficient data structures and storage patterns to support AI-powered features. This includes proficiency in SQL databases, and cloud data warehousing technologies like BigQuery. You understand how to optimize schemas, queries, and indexing for performance with large datasets, implement effective caching strategies, and design data pipelines that support ML workflows.
  • Delivered AI features: You have successfully shipped ML/AI features to production. You understand basic ML concepts and tooling, their purpose and practical implications. You won’t be expected to be a Data Scientist, but you should know enough that allows you to work and coordinate within a Data Science team.
  • Startup mindset:
  • Strong software engineering skills:
  • Problem-solving skills:
  • Independence:
  • Agility:
  • Team spirit:
  • Communication skills:
Responsibilities:
  • Design and implement full stack features that integrate with our AI/ML systems
  • Develop and maintain backend services in Python that support our AI-powered functionality
  • Adapt responsive and intuitive frontend interfaces that showcase our AI capabilities
  • Work with databases and design efficient data storage patterns for AI-related features
  • Collaborate with ML engineers to integrate their models into production systems
  • Ensure high performance, reliability, and scalability of the features you build
  • Participate in code reviews and contribute to engineering best practices
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