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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
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$149к-299к/год
$190к$230кмедиана$280к
По похожим ролям (50) ~ $230к/год
На СНГ рынке: $4.4к/мес ($3.7к - $5.6к)
88
Крутая вакансия
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Роль дает серьезную ответственность за разработку промышленных AI-систем и создание команды в крупной медицинской компании, хотя широкий охват технических и управленческих задач может создавать высокую нагрузку.
?Широкий охват
Современный AI-стек
AI в медицине
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal AI/Agentic Engineer (AI/agentic systems): Building and operating production-grade single- and multi-agent systems on an enterprise AI platform with an accent on durable workflows, tool integrations, context engineering, evaluation, and observability. Focus on designing reliable agent architectures, optimizing latency and token costs, implementing safety controls, and leading a team of 3–8 agentic engineers.
Location: United States - Illinois - hirify.global Park
Base pay: $149,300.00–$298,700.00 per year; the range may vary by specific location.
Company
hirify.global is a global healthcare leader developing diagnostics, medical devices, nutritionals, and branded generic medicines for people in more than 160 countries.
What you will do
Design, implement, and operate production single- and multi-agent systems with explicit boundaries, failure handling, and human oversight.
Build durable, resumable workflows with persistent state, checkpoints, replay, idempotency, compensation, and human-in-the-loop controls.
Integrate agent tools and functions with enterprise systems using secure contracts, authorization, retries, timeouts, and failure containment.
Develop context-engineering, retrieval, memory, evaluation, observability, and auditability capabilities.
Engineer production reliability through concurrency, latency and token-cost optimization, graceful degradation, secure deployment, SLOs, incident response, and rollback.
Lead technical discovery and delivery, write and review production code, and hire, coach, and develop approximately 3–8 agentic engineers.
Requirements
10–15+ years of software engineering experience, including substantial delivery of distributed, API-driven, or workflow-intensive production systems and technical leadership.
Hands-on experience designing, coding, testing, deploying, and operating agentic or LLM-based applications in production while remaining an active technical contributor.
Strong understanding of agent architecture, tool calling, durable state, multi-agent coordination, context engineering, retrieval, evaluation, observability, and safety controls.
Strong software engineering ability in Python and at least one of TypeScript, Go, or Java, including APIs, distributed systems, CI/CD, testing, code review, and secure SDLC.
Experience defining measurable quality, safety, reliability, latency, and cost indicators and using evaluation results to improve systems through iterative releases.
Bachelor’s degree in a related field or equivalent professional experience.
Ability to lead engineers, make sound technical decisions under uncertainty, and communicate effectively with technical and non-technical stakeholders.
Nice to have
Experience with agent frameworks or durable workflow systems such as LangGraph, Temporal, or comparable technologies, and model-provider APIs.
Experience in regulated health tech, med-tech, or life sciences environments, including GxP, HIPAA, validation, auditability, and change-control constraints.
Experience building secure tool-use systems, prompt-injection defenses, human-approval workflows, responsible-AI controls, and privacy-preserving agent experiences.
Experience shipping reusable agent patterns, evaluation tooling, SDKs, or paved-road capabilities for multiple product or engineering teams.
Culture & Benefits
Work within hirify.global’s enterprise AI Platform and collaborate with AI Product Management, Platform Engineering, Applied Data Science, security, and business stakeholders.
Establish reusable engineering patterns, testing, code review, API design, secure software engineering, and platform capabilities.
Lead delivery and technical standards as a player-coach while building and managing an agentic engineering team.
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