Podium - Staff AI Engineer
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. • 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. • Build and scale the AI Agent platform • Design and implement APIs, services, and infrastructure that power multi-turn, cross-channel customer interactions. • 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
• Unlock career-defining growth • Build with world-class talent • Make a real impact on local business • 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
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