Principal Healthcare AI Developer

InterSystems•Boston, MA

11d•Onsite

About The Position

The Data Platforms Health team builds native platform solutions that enable healthcare-specific platform capabilities. This development role in the Database Platforms department will contribute to AI-based features and workflows within the InterSystems Health Connect Cloud, InterSystems FHIR Server, InterSystems IRIS for Health and InterSystems Health Connect products. The team needs a developer who can drive AI model and AI architecture design and development for intelligent tooling features for healthcare builders and administrators. The team also needs thought leadership to adopt evolving AI technologies so that InterSystems can be a leader in AI-driven features and workflows. You are encouraged to apply if this role sounds interesting to you, even if you have doubts about being a competitive candidate. InterSystems prides itself on investing in its team members. This position is in the InterSystems headquarters in Boston, MA.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
8+ years of hands-on professional experience as a software developer or similar. Open to considering less experience in combination with a Graduate degree.
Experience with data analysis, data cleansing, feature extraction, and model training.
Experience with Python and common libraries like Pandas, NumPy, and Scikit-learn.
Experience with deep learning libraries like TensorFlow, PyTorch, or Keras.
Experience with design or consumption of REST APIs.
Strong verbal and written communication skills.

Nice To Haves

Self-starter with curiosity to experiment and learn, and confidence to challenge the status quo.
Professional experience with machine learning algorithms like neural networks and LLMs.
Professional experience with programmatic access of LLMs and/or open-source models.
Professional experience with health messaging standards, especially FHIR.
3+ years of experience with other programming languages like Java, C#, C++, or ObjectScript.

Responsibilities

You will design, build, train, and deploy machine learning and agentic AI models, and consume LLMs and custom models using REST APIs.
Working with product management and support specialists, you will design and implement data cleansing and feature extraction tools to improve the accuracy of predictions and data generation for a healthcare setting.
Your responsibilities will include integrating the models into existing products and refining the models to meet evolving product needs.
All work must follow the team’s development workflow including use of source control, design and code reviews, and clear documentation.
You are responsible for the quality of your code and must design automated tests to verify the effectiveness of the models and features.
This role will require you to respond to technical questions about expected product behavior and recommended best practices from support specialists and sales engineers.
You will also collaborate with the release engineering team to ensure that your model and tools are appropriately deployed in cloud and on-prem environments.
As a leader, you are expected to create project plans with estimates, track execution against the plan, and proactively communicate anticipated delays in the project.
With support from your manager, you will coordinate with other teams and overcome blockers and inter-team misalignments to deliver your projects.
You will also provide thought leadership in the areas of Gen AI, agentic AI, and other evolving technologies, and encourage other team members to adopt these technologies for the platform.