Senior AI Software Engineer

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The Senior Software Engineer codes software applications based on business requirements. The Senior Software Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The Senior AI Software Engineer standardizes the quality assurance procedure for software. Oversees testing and debugging and develops fixes. Researches complaints and makes necessary adjustments and/or recommendations to resolve complex software related issues. Begins to influence department’s strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments.

Key Responsibilities

• System Development: Build and maintain LLM-powered features including retrieval-augmented generation systems, structured prompt pipelines, and intelligent workflow automation deployed in clinical settings.
• Model Evaluation: Implement and iterate on evaluation frameworks to measure accuracy, safety, and reliability of AI outputs in production. Contribute to ongoing monitoring and quality improvement of deployed models.
• Backend Service Development:** Build Python or Typescript based backend services that expose AI capabilities to product and clinical applications via REST, GraphQL APIs and Websockets.
• Infrastructure and MLOps: Contribute to AI infrastructure design, deployment automation, and operational tooling as the team scales.
• HIPAA-Compliant Development: Ensure all systems meet HIPAA standards and that protected health information is handled appropriately throughout the stack.
• Technical Collaboration: Participate actively in architecture discussions, code reviews, and technical design sessions. Help set and uphold team engi