AI Research & Development Lead

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🕒 May 1

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Intelehealth

WebsiteLinkedInAll Job Openings

51 - 200 employees

⚕️ Healthcare Insurance

🤝 Non-profit

📡 Telecommunications

Healthcare Insurance • Non-profit • Telecommunications

Intelehealth is a non-profit organization that leverages open-source technology to facilitate telemedicine services for governments, NGOs, and hospitals, focusing on reaching underserved populations. The company provides a comprehensive technology platform with features such as digital assistants and a wide array of care protocols, aiming to improve access to primary healthcare. Intelehealth offers end-to-end support, training, and evaluation services to ensure successful implementation and increased health outcomes. Its impact extends globally, addressing health issues like malnutrition and diabetes management, and providing maternal healthcare among other services. By empowering telemedicine solutions, Intelehealth aims to bridge healthcare gaps, especially in remote areas.

📋 Description

• Define and execute the roadmap for LLM and multimodal AI across the organization • Make architectural decisions across prompting, fine-tuning, retrieval (RAG), and multimodal system design • Set standards for model evaluation, safety, and deployment • Build, manage, and mentor a team of AI/ML researchers, engineers, clinicians • Establish clear goals, execution plans, and performance expectations for the team • Create a culture of rigor, documentation, and accountability—especially around clinical risk • Own safety frameworks for AI systems, including hallucination mitigation and fail-safe design • Ensure human-in-the-loop systems are appropriately designed and implemented • Drive alignment of AI systems with SaMD principles and regulatory expectations • Guide development of systems combining text, voice, image, and structured data • Partner with product, engineering, and clinical teams to translate research into deployable features

🎯 Requirements

• Advanced degree (PhD, MD, or equivalent experience) in machine learning, biomedical engineering, computer science, or related field • At least 6 years of experience overall, including at least 1 year of significant work with LLMs and/or multimodal systems • Prior experience leading and managing technical teams • Demonstrated experience deploying AI systems in healthcare • Demonstrated experience building or deploying AI/ML or digital health systems in low-resource or high-variability environments, with an understanding of constraints such as limited infrastructure, data quality challenges, and end-user usability in frontline care settings • Experience in healthcare, digital health, or global health settings.

🏖️ Benefits

• Remote working. • Flexible working hours. • Great work culture. • 5 days working. • Group Medical Insurance.