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Senior Python Engineer

Posted 2024-10-17

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💎 Seniority level: Senior, 5+ years

📍 Location: Brazil

🔍 Industry: AI lead conversion and communication

🏢 Company: Podium👥 11-50ResidentialSalesRentalReal Estate

⏳ Experience: 5+ years

🪄 Skills: Backend DevelopmentPythonSoftware DevelopmentArtificial IntelligenceMachine LearningGoCommunication SkillsAnalytical SkillsCollaboration

Requirements:
  • 5+ years of hands-on programming experience with at least one modern language such as Python, Go, or Elixir.
  • Hands-on experience training, fine-tuning, and/or deploying LLM applications in production environments.
  • Strong analytical and problem-solving skills, with a proven ability to decompose complex issues and drive innovation in a highly iterative development process.
  • Excellent communication skills and the ability to work effectively in a team setting.
  • Ability to solve ambiguous problems and thrive in a fast-paced environment.
  • 5+ years of experience contributing to the architecture and design of large-scale distributed systems and/or ML systems and tools.
  • Proficiency in Python, with a track record of developing AI-driven applications using this language.
  • Exceptional writing abilities with the capacity to craft and optimize prompts for generative AI models.
  • Experience with deploying, monitoring, debugging, and evaluating AI agents in production environments is a huge bonus.
  • Knowledge of machine learning operations (MLOps) practices.
Responsibilities:
  • Develop and deploy advanced agentic applications powered by large language models to help local businesses automate interactions and manage leads.
  • Drive the entire lifecycle of AI agent development, from conception and design to implementation and maintenance.
  • Engage in rapid prototyping and iterative development to refine AI solutions based on real-world performance and feedback.
  • Implement monitoring and evaluation systems to track the effectiveness of AI agents in production, ensuring high reliability and user satisfaction.
  • Contribute to a culture of innovation by staying current with industry trends in generative AI and applying cutting-edge research to practical business solutions.
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