Senior Software Engineer - AI Agent Team



Software Engineering, Data Science
United States · Remote
Posted on Thursday, May 2, 2024

At Podium, our mission is to help local businesses win. Our lead conversion platform, powered by AI and integrations, helps local businesses convert leads faster, communicate easier, and make more sales. Every day, thousands of local businesses utilize our review management, communication, marketing, and payments products.

Our work and focus on helping local businesses thrive has been recognized across the industry, including Forbes’ Next Billion Dollar Startups, Forbes’ Cloud 100, the Inc. 5000, and Fast Company’s World’s Most Innovative Companies.

At Podium, we believe in fostering a culture that thrives on hiring and developing exceptional talent. Our operating principles serve as a compass, guiding daily behavior and decision-making, and ensure we hire people who will thrive at Podium. If you resonate with our operating principles and are energized by our mission, Podium will be a great place for you!

The Role:

Podium is looking for a talented Senior Software 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.
  • Hand-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.


  • Open and transparent culture
  • Life insurance, long and short-term disability coverage
  • Paid maternity and paternity leave
  • Fertility Benefits
  • Generous vacation time, plus three 4-day summer holiday weekends
  • Excellent medical, dental, and vision benefits
  • 401k Plan with company matching
  • Bi-annual swag drops with cool Podium gear and apparel
  • A stellar HQ (Utah) gym with local professional coaches and classes offered
  • Onsite HQ (Utah) child care center, subsidized for employees

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.