Full-Time Senior Python Engineer

The Role:

Podium is looking for a talented Senior Backend Python Engineer with an interest in building agentic applications using large language models (LLMs). In this role, you will be joining a team of engineers tasked with empowering local businesses by creating AI agents that efficiently handle customer interactions to optimize operations and reclaim valuable time. If you are passionate about tackling complex challenges, thrive in a fast-paced, iterative environment, and have a knack for breaking down intricate problems, we think you’ll be a great fit.

 What you will be doing:

• 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.

 What you should have:

• 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.

 What we hope you have:

• 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.