AI Product Engineer, Clinical & Pharmacy Workflows

About Bask Health

Bask Health is a software platform that enables entrepreneurs, doctors, and healthcare businesses to launch, manage, and grow direct-to-consumer telehealth businesses.

Our platform brings together patient experiences, clinical workflows, pharmacy operations, and commerce tools in one place.

We're an entrepreneurial, product-focused engineering team that values ownership, technical excellence, and building software that solves real problems. Engineers work closely with product teams and company leadership, take features from idea to production, and have a direct role in shaping the platform.

Engineering at Bask is AI-first and builder-led. We use tools like Cursor and Claude Code throughout development while maintaining high standards for reliability, testing, and software quality.

About the Role

We're looking for an AI Product Engineer, Clinical & Pharmacy Workflows to help build intelligent software features that improve how clinical and pharmacy-related processes operate across Bask Health's platform.

Bask Health supports direct-to-consumer telehealth businesses through technology that connects patient experiences, clinical workflows, pharmacy operations, and commerce systems. These workflows involve structured information, administrative tasks, operational coordination, and interactions between multiple teams and applications.

You'll help develop AI-powered capabilities that make these processes easier to manage, reduce repetitive administrative work, and provide useful information to authorized users.

This is a hands-on product engineering role that combines large language models, backend development, frontend application development, APIs, and workflow automation. You'll work with existing application infrastructure and modern AI technologies to build features that integrate directly into clinical and pharmacy-related tools.

Your work may include AI-assisted administrative summaries, workflow navigation, document information extraction, operational task support, and intelligent assistance for approved clinical and pharmacy coordination processes.

You'll collaborate with product managers, engineers, clinical stakeholders, and pharmacy operations teams to understand real workflows and translate those requirements into practical software solutions. You'll contribute to technical design, implement features, evaluate AI outputs, and improve applications based on user feedback.

Because these systems operate in healthcare-related environments, accuracy, privacy, auditability, and appropriate human oversight are essential. You'll design AI features that support authorized professionals rather than replacing their judgment. Systems must not independently diagnose patients, prescribe medications, make clinical determinations, or perform regulated pharmacy decisions without appropriate professional review and authorization.

We're looking for an engineer who enjoys building useful products, understands how to integrate AI into real workflows, and can balance speed of development with the reliability and safeguards required for sensitive operational systems.

What You'll Do

• 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 that help authorized users navigate complex administrative processes.
• Build features that summarize relevant 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 that support AI-enabled operational features.
• Develop user-facing interfaces for AI-powered workflow assistance.
• Integrate AI functionality with existing patient, clinical, and pharmacy-related systems.
• Implement structured model outputs and validation for downstream application workflows.
• Build retrieval capabilities that surface relevant information from approved internal sources.
• Develop tool-calling functionality that interacts with authorized application services.
• Implement safeguards that prevent unauthorized actions or access to restricted information.
• Build human review and confirmation steps for sensitive or consequential workflows.
• Support AI-assisted administrative coordination without automating regulated professional decisions.
• Work with product and operational stakeholders to understand workflow requirements.
• Translate complex business processes into clear, 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 evaluation results.
• Implement logging, monitoring, and auditability for AI-powered workflows.
• Ensure appropriate handling of sensitive patient and operational information.
• 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 from implementation through testing, deployment, and continuous improvement.

Requirements

• 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.
• Familiarity with OpenAI, Anthropic, or comparable model APIs.
• Experience developing AI-assisted administrative or operational workflows.
• Familiarity with retrieval-augmented generation architectures.
• Experience with document parsing, information extraction, or structured data extraction.
• Familiarity with embeddings, semantic search, and vector databases.
• Experience building AI applications with tool calling or function calling.
• Familiarity with human-in-the-loop AI workflows.
• Experience with TypeScript and Node.js backend development.
• Experience with React or Next.js applications.
• Familiarity with tRPC, Prisma, Drizzle, or similar development tools.
• Experience working with AWS services or serverless infrastructure.
• Understanding of HIPAA and healthcare data privacy considerations.
• Familiarity with clinical documentation or healthcare workflow systems.
• Understanding of pharmacy operations, prescription processing, or fulfillment coordination.
• Experience integrating with EHR, pharmacy management, or healthcare-related systems.
• Familiarity with healthcare interoperability standards such as HL7 or FHIR.
• Experience implementing audit trails and permission-controlled workflows.
• Familiarity with AI evaluation frameworks and model observability.
• Experience using AI-assisted development tools such as Cursor or Claude Code.