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11 часов назад

Staff AI Agent Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Staff AI Agent Engineer (Python/LLM): Building and operating production AI agent deployments, workflows, prompts, evaluations, and integrations for insurance automation with an accent on customer-facing engineering, agent quality, and reusable deployment patterns. Focus on debugging agent behavior, analyzing failure modes and operational risk, leading launch readiness reviews, and turning bespoke customer solutions into scalable systems.

Location: Boston or San Francisco (Berkeley), hybrid with 2 days per week in the office

Company

hirify.global builds AI agents that automate manual tasks across the insurance industry, expanding from voice automation into sales, servicing, claims, and broader workflow automation.

What you will do

  • Own complex, high-impact AI agent deployments from design through production.
  • Design, build, and iterate on agent workflows, prompts, evaluations, and integrations.
  • Debug and improve agent behavior through structured evaluations, monitoring, and analysis.
  • Convert customer-specific learnings into reusable templates, playbooks, and deployment patterns.
  • Partner with Product and Platform on roadmap decisions and lead technical reviews for launches and post-launch quality.
  • Mentor Agent Engineers and raise engineering quality, operational rigor, and reuse.

Requirements

  • 6+ years of professional software engineering experience.
  • Hands-on experience building and operating production systems.
  • Fluency in Python and modern backend systems, including APIs, services, and cloud infrastructure.
  • Experience with LLM-based systems, prompts, tools, or agent frameworks.
  • Ability to reason about quality, failure modes, and operational risk.
  • Comfort working directly with customers on technically complex problems, with strong ownership and judgment.

Nice to have

  • Experience with agentic systems, evaluation frameworks, or AI observability.
  • Background in B2B SaaS, enterprise software, or regulated environments.
  • Experience turning bespoke solutions into reusable systems.

Culture & Benefits

  • Hands-on, customer-facing engineering with direct ownership of outcomes.
  • Opportunity to influence Product and Platform roadmaps through real-world usage.
  • Work in a venture-backed company focused on AI automation for insurance.

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