Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Это понятная junior-вакансия в развивающемся направлении healthtech: можно работать над LLM-функциями продукта и учиться у старших коллег, но зарплата не указана, а у стартапа больше неопределённости.
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Зарплата не указанаАктуальный стек ИИПонятные задачиЗначимый доменРиски стартапа
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Research Engineer (AI) (AI/LLM): Prototyping, building, and debugging AI-specific product features for an AI-powered clinical-trials platform with an accent on prompt engineering, agent workflows, retrieval, and model behavior. Focus on integrating LLM capabilities into product experiences, implementing guardrails, debugging agent behavior, and validating ideas with real users and data.
Location: Austin, United States; hybrid work model
Company
hirify.global is an early-stage Healthtech and biotech AI company developing technology to accelerate drug development and improve clinical-trial outcomes.
What you will do
Design and ship AI-specific parts of product features within product squads.
Prototype agent behaviors and tool integrations using real users and data.
Build multi-step agent workflows and integrate platform and model capabilities into product experiences.
Implement guardrails and safety checks for AI features.
Debug model and agent behavior with support from senior engineers.
Collaborate with product, design, Platform, and AI Scientist teams to incorporate user feedback.
Requirements
Degree in Computer Science with a Machine Learning specialization or equivalent coursework and project experience.
1–3 years of experience working on AI/ML-powered systems; this is an AI-focused rather than generalist role.
Working exposure to LLM APIs, prompt engineering, agent frameworks, tool calling, RAG/retrieval, and embeddings.
Foundational understanding of model behavior, training versus inference, and ML failure modes.
Experience shipping at least one AI- or LLM-powered feature end-to-end.
Clear communication skills and willingness to work directly with customers and stakeholders.
Nice to have
Coursework or project experience in fine-tuning, evaluation, or retrieval systems.
Familiarity with AI guardrail and safety patterns.
Customer-facing experience, such as consulting or support.
Experience in healthcare, biotech, or another regulated industry.
Culture & Benefits
International team focused on collaboration, diversity, and healthcare impact.
MacBook provided.
Medical, dental, and vision insurance beginning on the first day of the month following hire.
Hybrid work environment and company events.
Pet-friendly office.
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