Artificial Intelligence Engineer

AI Engineer @ Medāna · Remote (Israel)

Medāna is a real-world AI medicine company building the foundation layer for AI-driven healthcare. Our platform helps hospitals, insurers, and pharma organizations transform fragmented clinical data into dynamic, proactive, and AI-ready systems.

We are focused on bridging the gap between the promise of healthcare AI and its limited real-world implementation, enabling intelligent risk-based medicine through continuous learning, real-time patient analysis, and next-best-action systems.

As we scale our platform and launch new AI products, we’re looking for an AI Engineer to join our R&D team and help shape the next generation of clinical AI.

What you'll do

• Build LLM-powered agents, reasoning pipelines, and document understanding systems for production healthcare environments
• Prototype new AI products end-to-end, from architecture decisions to deployment
• Take existing agentic workflows from “works” to “works reliably at scale” through evaluation, observability, and continuous improvement
• Build and integrate AWS microservices connecting LLMs to clinical systems, internal data sources, and external APIs
• Work closely with founders, clinicians, and product teams to turn strategic ideas into shipped products
• Help define the long-term architecture of a clinical-grade intelligence layer for AI-driven medicine

What you bring

• 3+ years of professional software engineering experience
• Strong Python skills and ability to write clean, production-grade code
• Hands-on experience building with LLMs and agent frameworks such as LangChain, LangGraph, or equivalent
• Experience with AWS, microservices architectures, and PostgreSQL
• Strong communication skills and product-oriented thinking
• A builder’s mindset, fast learner, comfortable with ambiguity, and excited to own products end-to-end

An advantage

• Frontend experience with React
• Experience in healthcare, clinical data, or regulated industries

Remote (Israel-based) with occasional on-site collaboration.

If you're excited about building AI systems that can transform real-world medicine, we’d love to hear from you.

Contact: [email protected]