Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Крутая вакансия
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Это практическая архитектурная роль с production-системами на базе LLM, голосовым ИИ в реальном времени и высокими требованиями к надежности в медицине; зона ответственности описана достаточно четко.
?Широкая ответственность
Современный ИИ-стек
ИИ в медицине
Заметные льготы
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Architect (Generative AI): Designing and building production generative AI systems for healthcare agents with an accent on LLM applications, evaluation pipelines, real-time voice experiences, and reliable agentic workflows. Focus on model strategy, low-latency serving, hallucination controls, explainability, and scaling critical systems across multiple communication channels.
Location: Hybrid work from the TLV office; work from anywhere is available for up to 2 weeks per year.
Company
hirify.global provides an Agentic Care Communications platform that uses HIPAA-compliant AI agents to automate healthcare workflows and conversations across call centers, websites, SMS, mobile apps, and other channels.
What you will do
Own end-to-end architecture across teams, write and review design documents, set technical standards, and make cross-team trade-offs explicit.
Define model strategies covering model size, hosting, fine-tuning, distillation, routing, provider fallback, quality, latency, and cost.
Design serving infrastructure for small and large models with strict latency and availability targets.
Build evaluation, anomaly-detection, classification, guardrail, hallucination-control, and explainability systems for healthcare-grade agents.
Design low-latency, high-accuracy voice and multi-channel experiences, lead AI initiatives, and integrate third-party systems.
Write production code, build prototypes, own critical agent services, mentor senior engineers, and raise review standards.
Requirements
5+ years of experience as an architect or principal engineer, including 2+ years building ML or LLM-based applications in production.
Bachelor’s or master’s degree in computer science, data science, or a related field.
Hands-on Python experience and willingness to write production code and prototypes; Node/TypeScript is a plus.
Deep production experience with LLM systems, including context engineering, RAG, tool calling, structured outputs, and agent frameworks such as LangGraph or similar.
Experience designing evaluation frameworks for non-deterministic systems and using them to make shipping decisions.
Experience with real-time, latency-sensitive systems, including streaming, WebSockets or WebRTC, and event-driven architectures.
Ability to switch between quick 0-to-1 builds and hardening platforms at scale.
Strong interpersonal, leadership, and communication skills in a fast-changing environment.
Nice to have
Knowledge of MLOps.
Voice AI experience with STT/TTS, speech-to-speech models, LiveKit, or similar technologies.
Model serving and optimization experience with vLLM/Triton, quantization, GPU efficiency, or fine-tuning small models.
Experience with LLM observability tools such as Langfuse or similar.
Culture & Benefits
Hybrid, dog-friendly TLV office.
Unlimited PTO and paid sick leave.
Company-wide long weekends every quarter.
Pension, social benefits, Keren Hishtalmut, and a monthly meal allowance.
Work from anywhere for up to 2 weeks per year.
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