[Hiring] AI Product Engineer @Bask Health

Role Description

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.
• 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.
• 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.

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.

Qualifications

• 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.