Principal Healthcare AI Developer
Role details
Job location
Tech stack
Job description
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.
The technology stack includes Python, AWS Bedrock, ObjectScript, and InterSystems IRIS.
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.
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 model training and evaluation.
- Experience with Agent orchestration and runtime, MCP, tool registration, and multi-model routing.
- Experience with design or consumption of REST APIs.
- Strong verbal and written communication skills., * 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.
- Experience with observability of model performance and runtime costs.
- Experience with model governance and design of guardrails for model security.
- Professional experience with deep learning libraries like TensorFlow, PyTorch, or Keras.
- Professional experience with health messaging standards, especially FHIR.
- 3+ years of experience with other programming languages like Java, C#, C++, or ObjectScript.
Benefits & conditions
InterSystems is providing a current good faith estimate of the anticipated base salary range for this position depending on a variety of factors including experience, education, skills, and performance.
Other compensation may include a discretionary annual variable target incentive.
The company also provides generous employee benefits including:
- Medical, vision, and dental insurance
- Short-term and long-term disability, and life insurance
- 401(k) Profit Sharing Contribution
- Paid Time Off and Holidays
- Parental Leave
- Tuition reimbursement
The estimated base compensation range for this role is:
$144,000 - $205,000 USD
