Head of Engineering (AI)

TL;DR

Head of Engineering (AI): Owning core product domains such as Consultant, Integrations, Mobile, and Platform with an accent on architecture, roadmap, delivery, and reliability. Focus on driving function performance improvements, observability, and quality pipelines for AI outputs.

Location: Must be based in the United States

Salary: $250K - $350K

Company

hirify.global is building the most impactful healthcare company on Earth by automating clinical documentation at the point of care using real-time ambient listening and agentic AI workflows.

What you will do

• End-to-end engineering execution: architecture, roadmap, delivery, reliability.
• Drive function performance improvements targeting 50%+ latency cuts across AI inference workflows.
• Manage observability, alerting, and model-selection systems.
• Establish the execution cadence your team needs to stay unblocked.
• Ensure quality pipelines for accuracy, completeness, and reliability of every AI output.
• Maintain engineering bar across the stack: code quality, reviews, on-call, operational rigor.

Requirements

• You've grown an engineering org: 10+ direct reports, real headcount growth, real process ownership with a passion for staying hands on and close to the code because you love it.
• You've built production AI/ML systems: agentic pipelines, LLM inference, real-time NLP or speech.
• You've done Seed to Series A+ at least once: You know what scaling eng from 5 to 30+ actually looks like.
• You still write code: Player-coach, not meetings-coach.
• Ambiguity is your operating system: Incomplete direction to clear technical plan, to shipped product. No hand-holding needed.
• Healthcare, clinical AI, or voice/speech AI background is a strong signal.

First 90 Days

• Full ownership of your engineering domain, no ramp needed.
• End-to-end observability and alerting for core workflows.
• Define your domain's key performance, reliability, and quality metrics.
• Ship at least one high-impact improvement.
• Establish the execution cadence and quality bar your team runs on.

Culture & Benefits

• Real Product Market Fit: 270+ clinics live, 2M+ encounters processed, physicians choosing to use it every day.
• Custom medical models: we build our own and they win on clinical benchmarks.
• You're replacing a genuinely painful workflow (manual documentation = physician burnout), not adding an AI feature.
• Small team, direct ownership, full stack responsibility: not a feature team at a big company.
• Series A with real revenue and real customers, scaling fast.
• Work on real, first-of-their-kind problems at the edge of AI and medicine.