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Podium

Senior AI Engineer

Podium

. Build and scale the AI Agent platform — enabling high-volume, real-time conversational workflows that deliver accuracy and low latency at scale.

Posted 4/21/2026full-timeRemote • Utah • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
ElixirGoPython

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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.
  • 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.

Benefits

Comp & perks
  • 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
GoPythonElixirAPI designdistributed systemshigh-throughput systemsLLM behavior evaluationprompt designcontext engineeringdata curation
Soft Skills
problem-solvingcommunicationcollaborationadaptabilitynavigating ambiguityworking across teamsthrive in fast-paced environmentiterative improvementuser experience focusoperational best practices