Generative AI Engineer

At MCG, we lead the healthcare community to deliver patient-focused care. We have a mission-driven team of talented physicians and technical experts developing our evidence-based content and innovating our products to accelerate improvements in healthcare. If you are driven to enhance the US healthcare system, MCG is eager to have you join our team. We cultivate a work environment that nurtures personal and professional growth, and this is a thrilling time to become a part of our organization.

With dynamic roles that offer meaningful impact, you’ll be able to fully realize your potential. Plus, you’ll enjoy world-class benefits and the security, stability, and resources of our parent company, Hearst, with over 100 years of experience.

As a Gen AI Engineer, you will be responsible for designing and deploying internal-use applications that leverage large language models in the health technology domain. You will work closely with the editors of MCG’s evidence-based care guidelines, data scientists, and clinical informaticists to develop AI-powered tools that accelerate content production by automating search, filter, retrieval, and critical evaluation of medical literature, as well as improve efficiency with copy editing tasks.

This role offers a distinctive opportunity to engage in full-stack development, enabling creative experimentation and the realization of diverse approaches to streamline our content update cycle.

• Drive automation and workflow improvements through innovative LLM solutions and strategies that balance speed, function, and long-term robustness
• Work closely with and assist clinical editors and copy editors in more efficient and accurate content creation
• Rapid prototyping of generative AI applications
• Full-stack development from proof-of-concept to front-end UI
• Evaluate, measure, and improve performance on a continuous basis
• Develop ETL/data pre-processing workflows to structure and manage clinical content for LLM pipelines
• Collaborate with clinical editors to prioritize new use cases for development and obtain feedback on existing solutions
• Work with data scientists to rigorously evaluate various strategies for optimizing prompts
• Stay up to date on industry developments

• 3+ years of full-time software engineering experience
• Experience with modern front-end web technologies, such as React.js
• Familiarity with Azure or AWS cloud computing
• Experience with MLOps tools and practices (e.g. CI/CD pipelines, containerized services, etc)
• Strong knowledge of software engineering best practices
• Excellent written and verbal communication skills
• Strong problem-solving and troubleshooting ability
• Bachelor’s degree in Computer Science, Engineering, or a related field
• Experience building generative AI solutions with OpenAI
• Proficiency in leveraging RAG, chunking, and embedding techniques in AI solutions
• Health technology domain experience
• Experience working with clinicians

Pay Range: 131,000 – 184,000

Other Compensation: Bonus Eligible

✈️ Travel expected 4 times per year for company-sponsored events

🩺 Medical, dental, vision, life, and disability insurance

📈 401K retirement plan; flexible spending and health savings account

🏝️ 15 days of paid time off + additional front-loaded personal days

👶 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave

MCG Health is a Seattle, Washington-based company and is considering remote candidates with some travel for company-sponsored events. The ideal candidate should be comfortable balancing the independence of remote work with the collaborative opportunities offered by periodic in-person engagements.

We embrace diversity and equal opportunity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Only with diverse thoughts and ideas will we be able to create the change we want in healthcare. The more inclusive we are, the better our work will be for it.

All roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration.

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