Podium is hiring a
Senior Python Engineer

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Podium

πŸ’΅ ~$100k-$130k
πŸ“Remote - Brazil

Summary

Join Podium's team as a Senior Backend Python Engineer and contribute to building agentic applications using large language models (LLMs) to empower local businesses. You will be part of a fast-paced, iterative environment where you can tackle complex challenges and drive innovation.

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

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

Preferred Qualifications

  • 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

Benefits

  • Open and transparent culture
  • Remote-first work for Engineering & Product
  • Generous vacation time, plus Brazilian national holidays off
  • Competitive salary, CLT contract
  • Meal ticket
  • Corporate Gympass membership
  • Medical and odontologic assistance
  • Growth and aggressive career plan
  • Bi-annual swag drops with cool Podium gear and apparel

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