AI GTM Engineer

Podium is looking for a talented AI Engineer where your primary mandate is twofold: rebuild and modernise our lead funnel using AI-first architecture, and design and deploy a suite of internal AI agents that eliminate repetitive, manual work for our AEs and SDRs — giving them more time to sell.

If you thrive in fast-paced, highly iterative environments, enjoy solving complex distributed systems challenges, and want to see your work drive immediate business impact, this role is for you!

• →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.

• 5-8+ 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.

• 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.

• Podium is the best place to work to:
• Join the leaders in AI agents
• Unlock career-defining growth
• Build with world-class talent
• Make a real impact on local business