Prompt Engineer (Healthcare)
Коротко о вакансии
Компания Talkie, разрабатывающая AI-агентов для здравоохранения, ищет Prompt Engineer для работы над качеством и интеллектом своих агентов. Сотрудник будет проектировать, тестировать и оптимизировать промпты, анализировать реальные диалоги с пациентами, внедрять технические решения на основе LLM и строить системы оценки. Важны внимание к деталям, эмпатия и нулевая терпимость к ошибкам, так как агенты общаются с реальными пациентами. Роль не исследовательская, а практическая, с фокусом на продакшн.
- Формат работы
- удалёнка
- География
- США и Польша
- Зарплата
- 10 000 — 14 000 PLN — по данным Talkie sp. z o.o.
- Ключевые требования
- Проектирование и оптимизация промптов для AI-агентов
- Анализ диалогов и выявление паттернов ошибок
- Построение фреймворков для оценки производительности агентов
- Создание документации и инструкций для клиентов
- Кому подойдёт
- Вакансия подойдёт инженерам, увлечённым практическим применением LLM в высоконагруженной и регулируемой среде здравоохранения.
Пересказ openqareer по тексту работодателя. Ниже — оригинал объявления.
About us
Talkie builds AI Agents for healthcare . Our agents handle patient–clinic communication end-to-end — voice calls, web chat, and SMS — so patients get 24/7 access to care and busy practices never miss a conversation. Every month, our AI Agents handle close to a million real patient conversations across the US and Poland. Trusted by primary care, specialty practices, and hospitals.
The Role
We're looking for a Prompt Engineer to own the quality and intelligence of our AI Agents — from prompt design to production. This is a high-impact role at the intersection of language, technology, and healthcare. Your work will directly shape how hundreds of thousands of patients experience care.
This is not a research role. You'll be writing, testing, and iterating prompts that run live with real patients — so rigour, empathy, and a zero-error mindset matter as much as technical skill.
What You'll Do
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Design, write, and continuously optimise prompts that power our AI Agents — making them natural, accurate, and reliable.
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Analyse real patient–agent conversations end-to-end, identifying failure patterns, edge cases, and opportunities to improve agent behaviour.
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Propose and implement technical solutions around function calling, tool use, context caching, and other LLM capabilities that make our agents smarter.
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Build and run evaluation frameworks to test agent performance before and after changes — because every conversation is with a real patient and there is zero margin for error.
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Create clear, structured documentation and customisation instructions so that agents can be tailored to each client’s specific workflows and needs.
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Stay on top of the rapidly evolving LLM landscape — new models, techniques, and conventions — and bring the best ideas back to the team.
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Work closely with the Product Manager (US market), engineering, and client teams to ensure agent quality across all deployments.
What will you achieve with us?
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Shape the experience that hundreds of thousands of patients have when they reach out to their doctor — across every channel — and make it better every single day.
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Push the boundaries of what LLM-powered AI agents can do in a highly regulated, real-world, multi-channel environment.
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Build evaluation and quality systems for conversational AI that don’t exist yet — you’ll be creating the playbook.
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Have a direct, measurable impact on patient access to healthcare in both the US.
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