- Страна
- США
- Зарплата
- 130 000 $ – 170 000 $
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на вакансии с ИИ

Software Engineer – Full Stack AI - US-Remote
Отличная вакансия с прозрачным диапазоном зарплаты, удаленным форматом работы и возможностью влиять на AI-стратегию компании. Сфера HealthTech добавляет работе социальную значимость.
Сложность вакансии
Роль требует глубоких знаний в области интеграции LLM, построения RAG-систем и работы с векторными базами данных, а также опыта в высоконагруженных SaaS-платформах. Высокая ответственность за архитектурные стандарты и безопасность данных (PHI) добавляет сложности.
Анализ зарплаты
Предлагаемая зарплата ($130k-$170k) полностью соответствует рыночным стандартам для Senior Full Stack AI инженеров в США, работающих удаленно. Верхняя граница диапазона конкурентоспособна для опытных разработчиков с навыками в области LLM и RAG.
Сопроводительное письмо
I am writing to express my strong interest in the Software Engineer – Full Stack AI position at PerfectServe. With over five years of experience in software engineering and a proven track record of deploying production-grade AI features, I am excited about the opportunity to help define AI architecture standards and ship high-impact RAG systems for your clinical communication platform.
In my previous roles, I have successfully integrated LLM APIs and optimized vector search pipelines, focusing on latency and cost-efficiency—skills that directly align with your R&D goals. I am particularly drawn to PerfectServe’s mission of accelerating speed to care, and I am eager to apply my expertise in AWS and Python to build secure, PHI-compliant AI solutions that improve outcomes for both providers and patients.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в perfectserve уже сейчас
Присоединяйтесь к команде PerfectServe и создавайте инновационные AI-решения, которые спасают жизни и трансформируют здравоохранение!
Описание вакансии
What is PerfectServe?
PerfectServe offers Best in KLAS clinical communication and physician scheduling solutions and is a Leader in the Gartner Magic Quadrant for Clinical Communication and Collaboration.We have seen an 88% growth rate over the past three years and need strong team members to help us continue to grow!
PerfectServe’s mission is to accelerate speed to care by optimizing provider schedules and dynamically routing messages to the right person at the right time in any care setting; advancing patient care and clinical workflows.
By joining PerfectServe, you will have the unique opportunity to come alongside us as we further our vision of putting all of these solutions together to provide optimal patient outcomes and faster patient care interventions. By improving speed to care and cross-continuum communication, we save lives, reduce length of stay, minimize re-admissions, and bring joy back to caregivers.
We have an incredible portfolio of customers, with new ones recognizing the value of our solutions and joining the PerfectServe family every day.
PerfectServe is a leading healthcare communications platform that connects providers, patients, and care teams to improve clinical collaboration and patient outcomes. We are seeking a Full Stack AI Engineer to join our R&D organization and play a central role in bringing AI capabilities to production across the platform. This is a core, high-impact role responsible for defining AI architecture standards, shipping production AI features, establishing governance and evaluation frameworks, and partnering directly with R&D leadership to shape the AI roadmap.
Essential Functions
- Design AI integration patterns and architecture standards across the SaaS platform
- Integrate LLM APIs (OpenAI, Anthropic, AWS Bedrock) into production features
- Build RAG systems, vector search, and embedding pipelines
- Optimize latency, inference cost, and hallucination guardrails
- Establish model evaluation, benchmarking, and observability processes
- Define cost controls, usage monitoring, and security/PHI handling constraints
- Evaluate use cases with Product for ROI and feasibility
- Advise leadership on build vs. buy decisions for AI capabilities
Qualifications:
- 5+ years software engineering experience with strong Python backend skills
- Production experience with LLM APIs, RAG systems, embeddings, and vector databases
- Cloud-native architecture experience, preferably AWS
- Experience in regulated or security-conscious environments
- Product-minded systems thinker, comfortable with ambiguity and executive communication
*This is not a research role. This is a builder role.
Why Join PerfectServe?
At PerfectServe, we are transforming healthcare communication and collaboration to help clinicians deliver better care. You’ll work with a dedicated and mission-driven team in an environment that values growth, transparency, and innovation.
\\Please do not use AI tools to generate your application materials. We value authentic, personal communication and want to understand your unique voice and perspective.\\
We offer a salary range of $130,000-170,000 per year, with compensation tailored to your background, strengths, and potential to grow within the team.
The salary range listed for this role reflects our commitment to pay transparency and is based on market data, internal equity, and the scope of responsibilities. compensation will be determined by a combination of factors, including the candidate’s experience, skills, and the specific team or product area they support.
We regularly review compensation across the company to ensure fairness and consistency. If you are a current employee and have questions about how your compensation aligns with our ranges, we encourage you to speak with your manager or People Operations.*
Benefits:
- Remote first work environment
- Health, Dental, Vision, Life and Disability Insurance options available day one.
- 401K - with match and immediately vested.
- 17 company holidays, 2 floating holidays plus competitive paid time off policy
- Internal Advancement Opportunities
PerfectServe offers unified healthcare communication solutions to help physicians, nurses, and care team members provide exceptional patient care. PerfectServe’s cloud-based solutions enhance patient safety and reduce provider burnout by automating workflows, speeding time to treatment, optimizing shift schedules, empowering nurse mobility, and engaging patients in their own care.
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Навыки
- AWS
- Python
- LLM
- SaaS
- RAG
- AWS Bedrock
- Vector Databases
- OpenAI API
- Embeddings
- Anthropic API
Возможные вопросы на собеседовании
Проверка практического опыта работы с LLM в реальных продуктах.
Расскажите о самом сложном случае внедрения LLM в продакшн: с какими проблемами задержки (latency) или галлюцинаций вы столкнулись и как их решили?
Оценка навыков проектирования систем поиска.
Как бы вы спроектировали RAG-систему для работы с конфиденциальными медицинскими данными, обеспечив при этом высокую точность извлечения?
Проверка умения контролировать расходы на инфраструктуру.
Какие стратегии вы используете для оптимизации стоимости инференса и управления лимитами API при масштабировании AI-функций?
Оценка соответствия техническим требованиям компании.
Опишите ваш опыт работы с AWS Bedrock или аналогичными облачными AI-сервисами в контексте построения масштабируемой архитектуры.
Проверка навыков принятия решений (build vs buy).
По каким критериям вы будете оценивать, стоит ли использовать готовую модель через API или дообучать собственную open-source модель для конкретной задачи PerfectServe?
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- Страна
- США
- Зарплата
- 130 000 $ – 170 000 $