Hybrid Staff AI Engineer

at Podium

• Job title: Staff AI Engineer
• Job type: Full Time
• Experience level: Lead
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: Elixir, Python, Go
• Location requirements: Hybrid, Lehi, United States

About the role

• Staff AI Engineer developing and scaling AI Agent platform for Podium's lead conversion system. Collaborating across teams to enhance customer interactions with real-time workflows and accuracy.

Responsibilities

• 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

• 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.
• 2+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows (preferred).
• Practical experience designing and implementing evaluations for LLM behavior — including accuracy, safety, reliability, and cost monitoring (preferred).
• Strong understanding of prompt design, context engineering, and guardrail strategies for dependable, interpretable agent behavior (preferred).
• Experience with modern agent frameworks such as LangGraph, CrewAI, or AutoGen, including multi-step reasoning, memory, and orchestration patterns (preferred).
• Hands-on experience with fine-tuning and data curation for improving model performance (preferred).

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