AI Product Engineer, Clinical & Pharmacy Workflows

Bask Health

. Build and maintain AI-powered features for clinical and pharmacy-related applications .

Posted 11/12/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI-powered application development, including building and integrating backend services and APIs, while ensuring secure handling of sensitive information. Proficient in translating operational requirements into maintainable software features and evaluating AI outputs for accuracy and reliability.

Highest-signal resume keywords

AI-Powered Application DevelopmentTypeScript ProgrammingAPI IntegrationBackend Services DevelopmentData Privacy Compliance

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Hard Skills

TypeScriptJavaScriptPythonAPI DevelopmentAutomated TestingPrompt EngineeringRelational DatabasesLogging and MonitoringProduction TroubleshootingSecure Application Design

Soft Skills

Problem-SolvingAttention to DetailCollaborationCommunicationIndependent Project Delivery

Tools & Technologies

GitAWSNode.jsReactNext.jsTRPCPrismaDrizzleOpenAI APIsHealthcare Workflow Systems

Industry Keywords

HealthcarePharmacy OperationsClinical DocumentationHIPAA ComplianceEHR IntegrationHealthcare Interoperability StandardsTelehealthInformation ExtractionOperational WorkflowsAI Evaluation Frameworks

Tech Stack

Tools & technologies

AWSCloudJavaScriptNext.jsNode.jsPythonReactTypeScript

About the role

Key responsibilities & impact

Build and maintain AI-powered features for clinical and pharmacy-related applications
Integrate large language models into approved healthcare operational workflows
Develop AI-assisted tools for complex administrative processes
Build features that summarize operational information for clinical and pharmacy teams
Implement AI-powered information extraction from approved documents and structured records
Develop contextual assistance for clinical and pharmacy workflow management
Build backend services and APIs supporting AI-enabled operational features
Develop user-facing interfaces for AI-powered workflow assistance
Integrate AI functionality with patient, clinical, and pharmacy-related systems
Implement structured model outputs and validation for downstream workflows
Build retrieval capabilities from approved internal sources
Develop tool-calling functionality with authorized application services
Implement safeguards against unauthorized actions or restricted-information access
Build human review and confirmation steps for sensitive workflows
Support AI-assisted administrative coordination without automating regulated professional decisions
Work with product and operational stakeholders to understand workflow requirements
Translate business processes into maintainable application functionality
Develop automated tests for AI features, APIs, and application behavior
Evaluate model outputs for accuracy, completeness, relevance, and consistency
Investigate incorrect responses, extraction errors, and unexpected AI behavior
Improve prompts, retrieval configurations, and application logic based on evaluations
Implement logging, monitoring, and auditability for AI-powered workflows
Handle sensitive patient and operational information appropriately
Collaborate with senior engineers on architecture, integration, and security decisions
Optimize AI response latency, reliability, and infrastructure usage
Troubleshoot production issues and implement dependable fixes
Participate in code reviews, technical planning, and cross-functional discussions
Own assigned AI product features through implementation, testing, deployment, and continuous improvement

Requirements

What you’ll need

3+ years of professional software engineering experience, preferably including AI-powered application development
Experience building and deploying production software applications
Strong programming skills in TypeScript, JavaScript, Python, or comparable languages
Hands-on experience integrating APIs into production applications
Familiarity with large language models and modern generative AI development patterns
Experience building AI-powered features or applications
Understanding of prompt engineering and structured model outputs
Experience developing backend services and application APIs
Familiarity with frontend application development and modern web frameworks
Experience working with relational databases and structured application data
Understanding of authentication, authorization, and secure application design
Familiarity with asynchronous workflows and service integrations
Ability to translate operational requirements into working software features
Experience writing maintainable, well-tested production code
Familiarity with automated testing, debugging, and code review practices
Understanding of the limitations and failure modes of large language models
Ability to evaluate AI outputs and identify accuracy or reliability problems
Familiarity with logging, monitoring, and production troubleshooting
Understanding of data privacy and responsible handling of sensitive information
Ability to design application features with appropriate permissions and human oversight
Familiarity with cloud-based application deployment
Experience using Git and collaborative engineering workflows
Strong problem-solving skills and attention to detail
Ability to work effectively with product managers and non-engineering stakeholders
Ability to independently deliver assigned engineering projects
Nice to Have: Experience building software for healthcare, telehealth, pharmacy, or clinical operations
Nice to Have: Familiarity with OpenAI, Anthropic, or comparable model APIs
Nice to Have: Experience developing AI-assisted administrative or operational workflows
Nice to Have: Familiarity with retrieval-augmented generation architectures
Nice to Have: Experience with document parsing, information extraction, or structured data extraction
Nice to Have: Familiarity with embeddings, semantic search, and vector databases
Nice to Have: Experience building AI applications with tool calling or function calling
Nice to Have: Familiarity with human-in-the-loop AI workflows
Nice to Have: Experience with TypeScript and Node.js backend development
Nice to Have: Experience with React or Next.js applications
Nice to Have: Familiarity with tRPC, Prisma, Drizzle, or similar development tools
Nice to Have: Experience working with AWS services or serverless infrastructure
Nice to Have: Understanding of HIPAA and healthcare data privacy considerations
Nice to Have: Familiarity with clinical documentation or healthcare workflow systems
Nice to Have: Understanding of pharmacy operations, prescription processing, or fulfillment coordination
Nice to Have: Experience integrating with EHR, pharmacy management, or healthcare-related systems
Nice to Have: Familiarity with healthcare interoperability standards such as HL7 or FHIR
Nice to Have: Experience implementing audit trails and permission-controlled workflows
Nice to Have: Familiarity with AI evaluation frameworks and model observability
Nice to Have: Experience using AI-assisted development tools such as Cursor or Claude Code