Staff AI Engineer (AI)

TL;DR

Staff AI Engineer (AI): Building and scaling an AI Agent platform that autonomously interacts with customers, handling millions of conversations monthly, with an accent on accuracy and low latency at scale. Focus on prototyping rapidly with live interaction data and improving system performance and user experience.

Location: Lehi, Utah, Open to Remote

Company

hirify.global provides a complete platform and outcome-driven AI employees that convert leads into real, paying customers for local businesses.

What you will do

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

• 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.

Nice to have

• 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.

Culture & 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, and 401k Plan with company matching