Head of Applied AI

Job not on LinkedIn

🔥 18 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

👻 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

• Lead the technical direction and development of applied AI capabilities across Bask Health's platform • Define architecture and engineering standards for production AI applications • Guide systems powered by large language models and machine learning • Identify high-impact AI opportunities with leadership, product managers, and engineers • Translate product and business requirements into practical AI engineering initiatives • Lead merchant-facing AI features, intelligent assistants, and automation tools • Guide AI applications supporting patient experiences and internal operational workflows • Design scalable systems integrating AI models into existing software applications • Evaluate model providers, APIs, frameworks, and infrastructure for production use • Establish practices for prompt management, model evaluation, and output validation • Measure AI accuracy, usefulness, latency, cost, and reliability • Guide retrieval-augmented generation, tool calling, and agentic workflows • Establish safeguards and human-review mechanisms for sensitive workflows • Ensure privacy, security, and access controls for AI systems • Integrate AI services into production architecture with backend and platform engineers • Define monitoring, logging, troubleshooting, and observability standards • Improve model performance and reduce unnecessary inference costs • Investigate AI system failures, unreliable outputs, and integration challenges • Contribute hands-on code, prototypes, and architectural improvements • Review technical designs and guide implementation decisions • Mentor engineers working on AI and machine learning systems • Establish reusable AI infrastructure, services, and development patterns • Evaluate AI feature performance and user feedback with product teams • Prioritize investments improving AI reliability and scalability • Guide emerging AI technology experimentation while maintaining production standards • Support technical planning, project execution, and cross-functional coordination • Build a culture of practical experimentation, technical ownership, and continuous improvement • Own the technical quality and maintainability of Bask's applied AI systems

🎯 Requirements

• 8+ years of professional experience in software engineering, machine learning engineering, AI engineering, or a comparable technical discipline • 3+ years of experience leading engineering teams, major technical initiatives, or complex AI projects • Demonstrated experience building and deploying AI-powered applications in production • Strong understanding of large language models and practical LLM application development • Hands-on experience integrating AI models through APIs or model-serving infrastructure • Strong programming skills in Python, TypeScript, or comparable production engineering languages • Experience designing scalable backend services and distributed application architectures • Strong understanding of retrieval-augmented generation, tool calling, and AI workflow orchestration • Experience evaluating model outputs and measuring AI system performance • Understanding of prompt engineering, structured outputs, and output validation • Experience designing systems that balance model quality, latency, reliability, and cost • Familiarity with cloud infrastructure and production deployment practices • Strong understanding of software architecture, APIs, and system integrations • Experience establishing engineering standards and reviewing complex technical designs • Familiarity with observability, monitoring, and incident investigation for production services • Understanding of application security, data privacy, and responsible AI implementation • Experience designing fallback behavior and safeguards for unreliable model outputs • Ability to evaluate new AI technologies and make practical technical recommendations • Experience collaborating with product managers and business stakeholders • Strong technical leadership and engineering mentorship skills • Ability to communicate complex technical concepts to both technical and nontechnical audiences • Strong analytical and problem-solving abilities • Experience prioritizing technical initiatives and balancing competing engineering requirements • Willingness to remain hands-on with architecture, prototyping, and technical problem-solving • Comfort leading initiatives in a fast-moving, remote engineering environment

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