Description

Job Description:

As an AI Software Engineer, you will be responsible for designing, developing, and deploying Decision Intelligence and AI-enabled products. These solutions impact patient care, team member and patient experience, and clinical operations. You will work on a product team with engineers, data scientists, and product managers, contributing to the full product lifecycle from ideation to iteration.

Key Responsibilities

• Collaborate with a product team to design, develop, and deploy Decision Intelligence and AI-enabled products.
• Guide the architecture, infrastructure, tools, and processes for AI/ML products.
• Implement knowledge graphs, ideally Neo4j, in solutions deployed to production.
• Implement GraphRag in AI/ML products deployed to production to improve LLM response.
• Design and implement scalable and efficient ML Ops pipelines for large volumes of data.
• Standardize, optimize, and scale products in production environments.
• Develop rapid prototypes to experiment and evaluate feasibility.
• Stay current with the latest data platform and AI/ML tools, techniques, and industry trends.

Required Qualifications

Education: A Bachelor’s Degree in Engineering, Computer Science, or a similar field is required.

Experience: A minimum of 6 years of experience in software engineering, data engineering, or machine learning engineering is required. This must include 3 years of experience in data science or artificial intelligence.

Technical Skills:

• Expert-level programming skills in Python/PySpark and Java.
• Experience building user interfaces with HTML, CSS, and JavaScript frameworks such as React or Angular.
• Experience with public cloud platforms, ideally Azure.
• Proficiency with containerization and DevSecOps practices.
• Experience working with semi-structured file formats and NoSQL databases.
• Understanding of API design, development, and production deployment at scale.
• Have knowledge of and have implemented knowledge graph (ideally Neo4j) in solutions deployed to production
• Implemented GraphRag in AI/ML products that were deployed to production to improve LLM Response

Preferred Qualifications

• Experience in the healthcare industry.
• Knowledge of medical terminology and clinical workflows.
• Contributions to open-source AI/ML projects.
• A Master's degree

Key Skills

Education

Any Graduate