Artificial Intelligence Engineer

Role Overview:

As a Senior AI Software Engineer, you will design, develop, and deploy AI/ML products with a strong focus on improving patient care, team member and patient experience, and operational efficiency in healthcare. You will collaborate with a cross-functional team, including engineers, data scientists, architects, and product managers, to develop innovative AI/ML solutions and lead in Product Discovery and Delivery cycles.

Key Responsibilities:

• Design, build, and deploy AI-enabled products, focusing on Decision Intelligence, ML products, and improving operational and patient care outcomes.
• Work with knowledge graphs (including GraphRag) and Large Language Models (LLMs) to enhance product performance.
• Develop scalable APIs, back-end solutions, and potentially DevOps pipelines.
• Lead and mentor junior engineers, promoting best practices and fostering innovation.
• Collaborate with product teams, ensuring continuous improvement and quick iterations.

Requirements:

• Education & Experience: Bachelor’s degree, 6+ years of experience in software engineering, AI/ML, or related fields.
• Languages: Expertise in Python.
• Skills: Strong experience in AI/ML product development, cloud platforms, and deployment to production.
• Experience with knowledge graphs, LLMs, and ML Ops pipelines.
• Familiarity with front-end development (HTML, CSS, JavaScript, React, Angular).
• Understanding of HIPAA and healthcare industry standards.

Plusses:

• Education & Experience: Master’s degree, 3 years of experience in data science or artificial intelligence.
• Contributions to open-source AI/ML projects.
• Healthcare industry experience and knowledge of medical terminology.
• Experience with Epic or fire-based software.

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Selling Points:

Team & Culture:

• A collaborative and innovative team culture, focused on exploration and continuous learning.
• Opportunity to work in a transformation office aimed at staying competitive within the healthcare industry.
• 24-person team with product managers, engineers, data scientists, etc.
• Freedom to allocate 20% of time for exploring new technologies and market trends.

Growth Opportunities:

• Significant opportunities for career advancement into leadership roles, including Architect and Team Lead positions.