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- США
- Зарплата
- 130 000 $ – 200 000 $
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Founding AI Engineer ($130k-$200k + Equity) at Stealth YC company
Исключительная возможность для AI-инженера: высокая зарплата, доля в компании (equity) и работа над социально значимым продуктом под руководством опытных фаундеров из Y Combinator.
Сложность вакансии
Высокая сложность обусловлена статусом 'Founding Engineer', что требует не только глубоких знаний LLM и RAG, но и готовности брать на себя полную ответственность за продукт в условиях высокой неопределенности и медицинских рисков.
Анализ зарплаты
Предложенный диапазон $130k-$200k полностью соответствует рыночным стандартам для Founding AI Engineer в Сан-Франциско, при этом наличие опционов значительно повышает потенциальный доход.
Сопроводительное письмо
I am writing to express my strong interest in the Founding AI Engineer position at your stealth Healthtech startup. With over three years of software engineering experience and a dedicated focus on shipping production-ready LLM applications, I am excited by the challenge of moving beyond simple chatbots to build high-stakes medical systems. My background in architecting RAG systems and optimizing prompt engineering for clinical accuracy aligns perfectly with your mission to automate diagnosis and treatment safely.
In my previous work, I have prioritized the development of robust evaluation frameworks to eliminate hallucinations, a skill I believe is critical for a role involving prescriptions and lab orders. I am an AI-native builder who leverages tools like Cursor and Claude to accelerate development without compromising on the groundedness required in medical domains. I am eager to bring my technical expertise to a founding team with such a proven track record of scaling telemedicine solutions.
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Описание вакансии
This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
She will pick the best candidates from Jack's network
The next step is to speak to Jack.
Founding AI Engineer
Salary: $130,000 - $200,000 + Equity
Company Description: Fast-growing Healthtech AI startup
Job Description:
You will own the AI core of an innovative medical practice, building LLM-powered systems for immediate diagnosis and treatment. This role moves beyond chatbots, focusing on high-stakes medical decisions, clinical accuracy, and safety. Working directly with physicians, you will ship production-ready AI that directly impacts patient health outcomes and lives.
Location: San Francisco, USA
Why this role is remarkable:
- Ship code that powers real-world medical decisions including prescriptions and lab orders rather than just building demos.
- Join a high-performance founding team led by experienced entrepreneurs who previously scaled a telemedicine company to over $100M in revenue.
- Benefit from significant ownership and career growth, with the potential to lead engineering domains or management as the team scales.
What you will do:
- Optimize LLM integration and prompt engineering for clinical accuracy, medical insights, and safety-critical diagnosis.
- Architect AI infrastructure including RAG systems, semantic search, and complex memory systems for multi-turn patient conversations.
- Implement medical safety guardrails and evaluation frameworks to eliminate hallucinations and ensure groundedness in high-risk scenarios.
The ideal candidate:
- 3+ years of software engineering experience with at least 12 months shipping LLM applications to production environments.
- Expert-level Python skills and deep familiarity with token economics, vector databases, and RAG architectures.
- An AI-native builder who uses modern tools like Cursor/Claude daily and prioritizes safety in high-stakes domains.
Who are Jack & Jill?
Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Next steps
Step 1. Visit our website.
Step 2. Click 'Talk to Jack'.
Step 3. Talk to Jack so he can understand your experience and ambitions.
Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.
Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.
Step 6. If not, Jack will find you excellent alternatives. All for free.
We never post fake jobs
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- Python
- LLM
- RAG Architecture
- Vector Databases
- Prompt Engineering
- Semantic Search
- Cursor
- Claude
Возможные вопросы на собеседовании
Важно понять, как кандидат минимизирует риски в медицине.
Расскажите о вашем опыте внедрения защитных барьеров (guardrails) для предотвращения галлюцинаций в LLM.
Проверка практического опыта работы с архитектурой данных.
Как бы вы спроектировали RAG-систему для работы с огромным массивом медицинских протоколов и историй болезни?
Оценка навыков оптимизации и понимания стоимости инфраструктуры.
Как вы подходите к оптимизации токенов и выбору между различными моделями (например, GPT-4 vs Claude 3.5) для специфических клинических задач?
Проверка продуктового мышления в стартапе.
Опишите случай, когда вам приходилось быстро переключаться между разработкой прототипа и выводом критически важной функции в продакшн.
Оценка этического подхода к ИИ в здравоохранении.
Как вы балансируете между инновационностью ИИ-решений и строгими требованиями безопасности и комплаенса в медицине?
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- Страна
- США
- Зарплата
- 130 000 $ – 200 000 $