Senior AI Engineer - Agentic

Skills

About the Role

You will build and scale Podium's AI Agent platform, a system that autonomously interacts with customers across voice, SMS, and chat channels, handling millions of conversations every month. You will design and implement APIs, services, and infrastructure that power multi-turn, cross-channel customer interactions, owning the full lifecycle from architecture through deployment and ongoing reliability. You will prototype rapidly, iterate using live interaction data, and continuously improve system performance and user experience. You will implement observability, monitoring, and operational best practices to keep production systems reliable, focusing on agent accuracy and latency. You will collaborate closely 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
• Ability to thrive in a fast-paced environment with shifting priorities
• 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

Responsibilities

• Build and scale the AI Agent platform enabling high-volume, real-time conversational workflows with 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

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
• A stellar HQ (Utah) gym with local professional coaches and classes offered
• Onsite HQ (Utah) child care center, subsidized for employees