Developer II - Psychiatry

Primary Location

Location T Department

Psychiatry Shift

Day (United States of America) Schedule

Full time Weekly Hours

40 FTE

1 Employee Status

Regular

Are you a developer who wants to apply your skills to something bigger? As a Developer II - AI Workflow & Computer Vision Systems, you'll help build innovative software solutions that use AI, automation, and computer vision to solve real-world challenges in pediatric healthcare and clinical research.

This role is ideal for a developer with hands-on experience in C#, Blazor, .NET, Linux operations, Docker, API development, and AI terminal coding agents who is ready to take on increasingly complex development work. You'll contribute to the design, development, testing, and support of secure AI-enabled applications and workflow automation tools while collaborating with experienced engineers, researchers, informatics professionals, and healthcare teams.

You'll have the opportunity to work with emerging technologies-including AI-assisted development, browser automation, computer vision, OCR, and intelligent workflow systems-while building solutions that emphasize reliability, security, auditability, and human oversight. It's an opportunity to grow your technical expertise while building technology that supports meaningful work and helps improve the health of children.

This position requires approximately 50% on-site presence based on operational and support needs.

Develop, maintain, and support software components for AI-enabled workflow tools used in a healthcare research and innovation environment.

Assist in building modular software services, APIs, user interfaces, background workers, and integration components using technologies such as C#, .NET, Python, JavaScript/Type Script, Blazor, or related frameworks.

Translate workflow requirements into software specifications, user stories, technical tasks, test cases, and maintainable code modules.

Develop browser-based automation workflows that interact with approved clinical, research, administrative, or operational systems under human supervision and within institutional policy.

Support secure automation patterns that emphasize user review, traceability, exception handling, and appropriate escalation when workflows require human judgment.

Assist with workflow orchestration components that route tasks, collect required information, prepare decision packets, document process state, and support reproducible execution.

Support computer vision workflows involving screenshots, browser interfaces, screen-state detection, OCR outputs, visual comparison, and screen-based validation.

Help create mock environments, test harnesses, simulated workflows, synthetic data sets, and controlled development environments to support safe testing prior to production use.

Participate in unit testing, integration testing, regression testing, user acceptance testing, and validation of workflow automation modules.

Assist with debugging, troubleshooting, performance review, quality assurance, and iterative improvement of AI-assisted workflow tools.

Document validation steps, expected outputs, known limitations, exception pathways, and human review checkpoints.

Support controlled release processes, code review, version control, deployment documentation, and change tracking.

Collaborate with clinical, research, operational, informatics, compliance, and technical stakeholders to understand current-state workflows and identify opportunities for safe workflow support.

Participate in meetings with project leads, investigators, clinicians, coordinators, analysts, and software engineers to clarify requirements and implementation needs.

Communicate technical concepts clearly to non-technical stakeholders and incorporate feedback into software design and workflow refinement.

Assist in translating complex healthcare workflows into structured, reproducible, and testable software processes.

Work as part of a team committed to improving pediatric healthcare operations, clinical research support, quality improvement, and responsible innovation.

Follow institutional policies and procedures related to privacy, security, HIPAA, human subjects research, clinical systems access, data governance, and responsible AI use.

Support secure data handling practices, including appropriate logging, access control, audit trails, environment separation, and documentation of data flows.

Maintain clear documentation for code, workflows, configuration steps, validation procedures, deployment processes, and user support materials.

Use established software development practices, including Git/version control, issue tracking, code review, documentation, and reproducible