A startup company in the AI Health Care domain, disrupting the health insurance industry with a cutting-edge platform that leverages AI to manage and deliver employee health benefits.

At the core of the platform is an intelligent digital assistant, available 24/7, that provides instant responses to questions regarding insurance plans, entitlements, providers, medications, appointments, and more powered by advanced LLM models.

The company is based in Tel Aviv, operates in a hybrid work model (two days from home), employs 100 people, and is part of the portfolio of a well-known investment fund, with backing from some of the world’s leading venture capital firms.

The company has raised $110M to date and was founded by seasoned tech and medical entrepreneurs with a proven track record in building and scaling large, successful companies

About the role-

• Part of the core Chatbot team, responsible for the company’s main AI product
• Develops and implements advanced AI systems to enhance user experience in navigating health benefits
• Focuses on applied research, model development, and deployment into production
• Builds and integrates Retrieval-Augmented Generation (RAG) systems for accurate delivery of medical information
• Embeds AI capabilities into product features and user-facing functionalities
• Designs and builds Evaluation Frameworks to monitor and improve the Personal AI Assistant’s performance
• Tracks trends and developments in GenAI and LLMs to ensure use of state-of-the-art approaches
• Contributes to internal tools and evaluation processes for continuous optimization
• Works with LLM Agents in conversational AI environments, including text-based and multimodal interactions
• Collaborates closely with cross-functional teams including Product, Data, and Engineering

Requirements-

B.Sc. in a scientific field – required

At least 5 years of experience as an Applied Data Scientist, Data Scientist, or ML Engineer – required

Proven experience with NLP and working with Language Models (LLMs) – required

Hands-on experience with Machine Learning – required

Proficiency in Python (e.g., Pandas) – required

Experience with RAG (Retrieval-Augmented Generation) – required

Background in leading tech companies or startups – required

Experience deploying models to production – required

Experience working in cloud environments – required

Experience with chatbots or Personal AI Assistants – strong advantage

Background in leading HealthTech companies – advantage

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