AI Engineer building generative and agentic AI solutions for Trillium Health Partners’ hospital workflows. Connecting intelligent agents to clinical systems and scaling responsible healthcare automation.
About the role
- Not specified.
Responsibilities
- Develop and operate scalable AI applications from backend logic, prioritizing security and operational excellence.
- Apply agentic programming practices to develop new and improved AI-powered features for the application, including refactoring existing codebases to be LLM-based or AI-assisted.
- Contribute to technology roadmap discussions to translate business requirements into autonomous, functional solutions.
- Write, debug, and troubleshoot code using widely adopted open-source AI technologies and maintain the codebase of a data analysis and validation platform.
- Work with cloud-based technologies and solutions.
- Capture requirements and refine them within multidisciplinary teams.
- Actively tackle problems and set priorities as needed.
- Ensure system validation and ongoing application support.
- Diagnose and resolve performance issues.
- Document code and processes so other developers can easily take over.
- Work with teams to integrate our systems with existing internal systems.
- Triage product- or system-related issues and debug, track, and resolve problems by analyzing their root causes and their impact on operations and network or service quality.
Requirements
- Bachelor's degree or equivalent experience.
- At least five years of experience with Java and Python.
- Experience working with agentic frameworks (e.g., ADK, LangChain, LangGraph).
- At least five years of experience with API interfaces.
- Experience building and using RESTful APIs (assistants interacting with software).
- Fundamentals of generative artificial intelligence: understanding how large language models work, including prompt engineering/context engineering.
- At least five years of experience with SQL and PostgreSQL.
- At least five years of experience with software development management tools like Maven or Gradle and backend technologies such as JAVA/J2EE, Spring Boot, and Microservices.
- At least five years of experience implementing software testing, performance, and quality engineering strategies and techniques.
- At least three years of experience with cloud technology: Google Cloud Platform.
- Familiarity with source control and code assistance systems (e.g., GitHub Copilot, CLI Gemini).
- AI evaluation: experience building automated test suites and AI-assisted code refactoring.
- Systems thinking: understanding how AI's non-deterministic components integrate into deterministic software systems.
- At least one year of experience with Jenkins pipelines.
- At least one year of experience designing software with C++.
- Proactive, able to prioritize to resolve issues quickly with minimal supervision.
- Cloud certification is a strong asset.
Benefits
- Not specified.
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