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