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Podium is looking for a talented Senior AI Engineer to help build and scale our AI Agent platform—a powerful system that autonomously interacts with customers, handling millions of conversations every month. In this role, you’ll design and deliver the software that enables local businesses to manage complex customer interactions automatically, book more appointments, and serve their customers more effectively across multiple channels (e.g., voice, SMS, chat).
Job Responsibility:
Build and scale the AI Agent platform — enabling high-volume, real-time conversational workflows that deliver accuracy and low latency at scale
Design and implement APIs, services, and infrastructure that power multi-turn, cross-channel customer interactions
Own the full lifecycle: architecture, implementation, deployment, and ongoing reliability
Prototype rapidly, iterate with live interaction data, and continuously improve system performance and user experience
Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency
Collaborate with engineers, product managers, and AI/ML scientists to deliver end-to-end features that power critical business outcomes
Requirements:
6-10+ years of professional software engineering experience with at least one modern language such as Go, Python, or Elixir
1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows
Proven success designing and maintaining distributed or high-throughput systems
Strong problem-solving ability and comfort navigating ambiguity in large-scale systems
Excellent communication skills and the ability to work effectively across teams
A willingness to work across the entire stack—from infrastructure to APIs to user-facing components—wherever the problem needs solving
Ability to thrive in a fast-paced environment with shifting priorities
Nice to have:
1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows
Practical experience designing and implementing evaluations for LLM behavior — including accuracy, safety, reliability, and cost monitoring
Strong understanding of prompt design, context engineering, and guardrail strategies for dependable, interpretable agent behavior
Experience with modern agent frameworks such as LangGraph, CrewAI, or AutoGen, including multi-step reasoning, memory, and orchestration patterns
Hands-on experience with fine-tuning and data curation for improving model performance
What we offer:
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
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