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collectivehealth
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Staff Conversational AI Engineer

Оценка ИИ

Отличная вакансия с высокой зарплатой, значительным пакетом опционов и возможностью работать над социально значимым продуктом. Использование передового стека технологий (Google CCAI, Vertex AI) делает позицию привлекательной для экспертов в области ИИ.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль уровня Staff требует не только глубоких технических знаний стека Google CCAI и LLM, но и лидерских качеств для управления архитектурой и менторства команды. Высокая сложность обусловлена необходимостью интеграции сложных AI-решений в регулируемую сферу здравоохранения.

Анализ зарплаты

Медиана195 000 $
Рынок170 000 $ – 230 000 $
Оценка ИИ

Предложенная зарплата ($171k - $213k) полностью соответствует рыночным стандартам для позиции Staff Engineer в Техасе. С учетом 330 000 опционов, совокупный доход может значительно превышать средние показатели по рынку.

Сопроводительное письмо

I am writing to express my strong interest in the Staff Conversational AI Engineer position at Collective Health. With extensive experience in architecting sophisticated conversational interfaces and a deep technical background in the Google Cloud CCAI suite, I am confident in my ability to lead the development of intelligent solutions that will transform how members engage with their health benefits.

In my previous roles, I have successfully deployed production-level virtual agents using Dialogflow CX and built robust RAG pipelines to enhance user interactions. My expertise in prompt engineering, combined with a solid foundation in Python and JavaScript, aligns perfectly with your requirements for scaling maintainable conversational flows. I am particularly drawn to Collective Health's mission of integrating compassionate service with world-class technology, and I am eager to bring my mentorship skills and strategic mindset to your engineering team in Plano.

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Присоединяйтесь к Collective Health и создавайте будущее медицинских технологий с помощью передового ИИ!

Описание вакансии

At Collective Health, we’re transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design.

As the Staff Conversational AI Engineer, you will be at the forefront of designing and implementing intelligent and natural conversational solutions. You will work hands-on with Google's CCAI suite, including Dialogflow CX, Agent Assist, Vertex AI and CCAI Insights, to create seamless and personalized user journeys. Your work will directly contribute to improving member satisfaction, streamlining internal workflows, and solidifying Collective Health's position as an innovator in the healthcare industry.

What you'll do:

  • Lead the architecture, design, development, and deployment of sophisticated conversational AI applications on the Google CCAI platform to serve a variety of consumer and internal use cases.
  • Architect and build robust, scalable, and maintainable conversational flows and virtual agents using Google Dialogflow CX and DialogFlow APIs.
  • Integrate and optimize Google Agent Assist to empower our member-facing teams with real-time guidance and support.
  • Leverage CCAI Insights to analyze conversation data, identify trends, and continuously improve the performance and effectiveness of our AI-driven interactions.
  • Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation and excellence in the AI space.
  • Collaborate closely with product managers, designers, and other engineering teams to define the product vision, roadmap, and user experience for conversational AI initiatives.
  • Manage stakeholder expectations and communicate technical concepts and project progress to both technical and non-technical audiences.
  • Stay at the forefront of advancements in conversational AI, natural language processing (NLP), and large language models (LLMs), and champion the adoption of new technologies and best practices.

To be successful in this role, you'll need:

  • Proven, hands-on experience in designing, building, and launching production-level conversational AI experiences is essential for success in this role.
  • In-depth knowledge and practical experience with the Google Cloud Contact Center AI (CCAI) platform, including Dialogflow CX, Agent Assist, and CCAI Insights.
  • Strong understanding of natural language understanding (NLU), natural language generation (NLG), multi-language support and the principles of conversational design.
  • Experience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process data
  • Practical knowledge of formal syntax, formal semantics, corpus analysis, dialogue management
  • Experienced in prompt engineering, building, enhancing and maintaining custom RAG pipelines.
  • Proficiency in javascript and in one or more languages such as Python or Java.
  • Experience with API integrations and connecting conversational interfaces with backend systems and data sources.
  • Demonstrated ability to lead and mentor engineering teams, with a passion for sharing knowledge and fostering technical growth.
  • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
  • A strategic mindset with the ability to translate business needs into technical solutions and a long-term vision for conversational AI.
  • Knowledge of training and tuning topic modelling algorithms like LDA and NMF is a huge plus.
  • Understanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metric
  • A bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

Nice to Have:

  • Experience Optimizing LLM engines.
  • Experience building AI applications with Claude, OpenAI or LLaMa models.

Pay Transparency Statement

This is a hybrid position based out of our Plano office, with the expectation of being in office at least three weekdays per week. #LI-hybrid

The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for 330,000 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/.

Plano, TX Pay Range

$171,000—$213,500 USD

Why Join Us?

  • Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare
  • Impactful projects that shape the future of our organization
  • Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests
  • Flexible work arrangements and a supportive work-life balance

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact recruiting-accommodations@collectivehealth.com.

Privacy Notice

For more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/.

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Навыки

  • Python
  • Machine Learning
  • Large Language Models
  • JavaScript
  • API Integration
  • RAG
  • Prompt Engineering
  • Google Cloud Platform
  • Java
  • Vertex AI
  • Natural Language Processing
  • Dialogflow

Возможные вопросы на собеседовании

Проверка практического опыта работы с основным инструментом, указанным в вакансии.

Расскажите о наиболее сложном сценарии диалога, который вы реализовывали в Dialogflow CX. Как вы управляли состоянием и переходами?

Оценка навыков работы с современными LLM-технологиями.

Какие стратегии вы используете для оптимизации RAG-пайплайнов, чтобы минимизировать галлюцинации и повысить точность ответов в медицинском контексте?

Проверка умения работать с данными для улучшения продукта.

Как вы используете CCAI Insights для выявления узких мест в текущих диалоговых потоках и приоритизации доработок?

Оценка лидерских качеств и архитектурного мышления.

Опишите ваш подход к проектированию масштабируемой архитектуры для разговорного ИИ, которая должна поддерживать как внешних клиентов, так и внутренние команды.

Проверка навыков менторства.

Как вы подходите к обучению младших инженеров принципам проектирования разговорного интерфейса (Conversation Design) и работы с NLU?

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collectivehealth
Страна
США
Зарплата
171 000 $ – 213 500 $