Senior AI Engineer - Agentic

Podium•Lehi, UT

11h

About The Position

Podium is looking for a talented Senior AI Engineer to help build and scale their AI Agent platform, a powerful system that autonomously interacts with customers and handles millions of conversations monthly. This role involves designing and delivering software that enables local businesses to manage complex customer interactions automatically, book more appointments, and serve customers more effectively across multiple channels like voice, SMS, and chat. Podium brings AI Employees to local businesses to convert conversations into revenue, serving over 60,000 businesses. The company has achieved significant growth, crossing $100M in AI Agent ARR and scaling 300% year-over-year, deploying 10,000 AI employees. Podium has been recognized by Inc. Magazine, OpenAI, and G2 for its AI implementations and agents. The company emphasizes hiring exceptional people, maintaining high standards, and providing opportunities for growth and impact, guided by its operating principles. This role is ideal for individuals who thrive in fast-paced, iterative environments, enjoy solving complex distributed systems challenges, and want to see their work drive immediate business impact.

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 Haves

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.

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.