Senior Applied AI Engineer – Patient Experience

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 60 days.
• 54 open roles for a team of 16.
• No salary listed.

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Bask Health

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 Pre Seed Round on 2022-05

Healthcare • Consulting • Logistics

Bask Health is a robust platform providing a comprehensive suite of customizable telehealth solutions. It offers tools such as a questionnaire builder, patient portals, and pharmacy fulfillment services, all secured with strong encryption and HIPAA-compliance. Bask Health seamlessly integrates telehealth and e-commerce, enabling streamlined patient care from consultation to delivery. The platform supports entrepreneurs, doctors, and developers by offering scalable no-code solutions that enhance user experience and business growth. With its nationwide pharmacy network, Bask Health empowers businesses to efficiently manage prescriptions, patient data, and order fulfillment across the entire digital health landscape.

📋 Description

• Design, develop, and deploy AI-powered features across Bask Health's patient-facing applications. • Build intelligent experiences for onboarding, questionnaires, and digital care workflows. • Develop AI-assisted interfaces that simplify complex patient interactions. • Integrate large language models into frontend and backend applications. • Build production services supporting patient-facing AI features. • Design retrieval-augmented generation systems using approved knowledge sources. • Implement structured outputs, tool calling, and workflow orchestration. • Develop AI-assisted patient support and information experiences within approved boundaries. • Collaborate with clinical and product stakeholders to define safe AI behavior and escalation requirements. • Create safeguards, uncertainty handling, human review, and escalation mechanisms. • Design evaluation datasets and testing procedures. • Measure response accuracy, relevance, latency, reliability, and user experience. • Implement monitoring and observability for production AI applications. • Investigate model failures, unexpected outputs, and performance issues. • Optimize prompts, retrieval pipelines, and application logic. • Evaluate AI models and providers based on performance, cost, reliability, and operational requirements. • Develop secure integrations between AI services and Bask platform APIs. • Ensure authentication, authorization, data access controls, and privacy-conscious handling of patient information. • Collaborate with frontend engineers on responsive AI-powered interfaces. • Build reusable components and backend services. • Write maintainable, well-tested code and participate in technical design reviews. • Contribute to architecture discussions and establish applied AI engineering standards. • Mentor engineers and share production AI knowledge. • Use experimentation and product feedback to improve patient workflows. • Own features from technical design through deployment, monitoring, and iteration.

🎯 Requirements

• 5+ years of professional software engineering experience, including substantial experience building AI-powered applications. • Demonstrated experience shipping LLM-powered or machine learning features into production. • Strong programming skills in Python, TypeScript, JavaScript, or comparable languages. • Experience integrating large language models through production APIs. • Strong understanding of modern LLM application architecture. • Hands-on experience with prompt engineering, structured outputs, and model integration patterns. • Experience building retrieval-augmented generation systems or similar knowledge-grounded AI applications. • Familiarity with embeddings, semantic retrieval, and search infrastructure. • Experience implementing tool calling, workflow orchestration, or multi-step AI processes. • Strong backend engineering skills, including API design and service integrations. • Experience working with databases, application state, and production data systems. • Understanding of model evaluation and AI application testing methodologies. • Experience measuring and improving AI response quality, latency, and reliability. • Familiarity with production monitoring, logging, and troubleshooting. • Experience implementing fallback behavior and error handling for AI-dependent applications. • Understanding of application security, authentication, authorization, and data privacy. • Ability to design safeguards for sensitive or high-impact AI workflows. • Experience collaborating with frontend engineers to deliver end-user product features. • Strong understanding of software testing, code review, and deployment practices. • Familiarity with cloud infrastructure and production application environments. • Ability to translate product requirements into maintainable technical solutions. • Strong communication skills and experience working across engineering and product teams. • Ability to independently own complex technical projects from design through production. • Strong analytical thinking and practical problem-solving skills. • Interest in building reliable, user-centered AI products. • Nice to Have: Experience developing AI-powered applications in healthcare, telehealth, or digital health. • Nice to Have: Familiarity with HIPAA and healthcare data privacy considerations. • Nice to Have: Experience building patient-facing chat interfaces, assistants, or guided workflows. • Nice to Have: Experience designing AI systems with clinical oversight or human-in-the-loop review. • Nice to Have: Familiarity with healthcare workflows, patient onboarding, and treatment-related communication. • Nice to Have: Experience with OpenAI, Anthropic, or comparable model providers. • Nice to Have: Experience using LangChain, LangGraph, or similar orchestration frameworks. • Nice to Have: Familiarity with vector databases such as Pinecone, Weaviate, or pgvector. • Nice to Have: Experience developing conversational AI systems. • Nice to Have: Experience with agentic AI workflows and tool-using assistants. • Nice to Have: Familiarity with model evaluation frameworks and automated LLM testing. • Nice to Have: Experience with prompt versioning and experiment tracking. • Nice to Have: Experience using React, Next.js, or modern frontend frameworks. • Nice to Have: Experience building backend services with Node.js and TypeScript. • Nice to Have: Familiarity with PostgreSQL, Prisma, Drizzle, or similar data tools. • Nice to Have: Experience deploying applications on AWS or comparable cloud platforms. • Nice to Have: Familiarity with serverless architectures and event-driven systems. • Nice to Have: Experience optimizing LLM inference costs and application latency. • Nice to Have: Experience with AI-powered search, knowledge retrieval, or personalization. • Nice to Have: Experience using AI-assisted development tools such as Cursor or Claude Code.

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