At Podium, our mission is to arm every local business with a complete platform and outcome-driven AI employees that convert leads into real, paying customers. Every day, millions of workers use our AI lead conversion and communication platform to help them get more leads and make more money.
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 Generative AI Engineer with expertise in building agentic applications using large language models (LLMs). In this role, you will be joining a team of smart and dedicated AI 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 full-stack AI-driven applications powered by large language models to automate interactions and manage leads for local businesses.
- Design, implement, and maintain both the front-end and back-end of scalable systems that integrate AI technologies.
- Work through the entire development lifecycle—from architecture to deployment—ensuring seamless integration of AI solutions.
- Engage in rapid prototyping and iterative development to refine both AI and platform features based on user feedback and real-world performance.
- Implement systems to monitor and evaluate AI agents in production, ensuring reliability and optimal user satisfaction.
- Stay current with industry trends in generative AI and full-stack development, applying cutting-edge research to practical business solutions
What you should have:
- Available and willing to travel (up to 2 weeks, twice a month) onsite with customers, to build custom features.
- 6+ years of hands-on programming experience with at least one modern language such as Python, Go, or Elixir.
- Strong experience with both front-end (e.g., React, JavaScript, TypeScript) and back-end (e.g., Node.js, Python, Elixir) technologies.
- Solid understanding of full-stack architecture and how to interact with the latest AI models, and utilize the strengths of the models.
- Strong analytical and problem-solving skills, with a proven ability to decompose complex issues and drive innovation.
- Excellent communication skills and the ability to work effectively in a team, translating technical concepts for diverse audiences.
- Ability to thrive in a fast-paced, iterative development environment.
What we hope you have:
- 6+ years of experience in designing and contributing to large-scale distributed systems and AI-driven applications.
- Proficiency in Python and its application in AI-driven full-stack systems.
- Exceptional writing abilities for creating and optimizing prompts for generative AI models.
- Experience with deploying, monitoring, debugging, and evaluating AI agents in production environments.
BENEFITS
- 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
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.
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