AI Researcher – (LLM).

One of our clients is looking to hire an AI Engineer – Conversational Agents (LLM).

Our client is a fast-growing technology startup operating in the healthcare domain. The company develops advanced AI-driven solutions that help healthcare organizations improve clinical decision-making, operational efficiency, and patient outcomes. By combining machine learning, deep learning, and real-time data analysis, the company delivers intelligent tools that support preventive care and empower medical professionals rather than replacing them.

The company operates in a dynamic startup environment with a strong mission to make high-quality healthcare more accessible, efficient, and affordable. Multidisciplinary teams including engineers, data scientists, clinicians, and product professionals work closely together to solve complex real-world healthcare challenges.

The Role

The AI Engineer will lead the development of the AI core behind conversational agents. This is a hands-on role covering the full AI lifecycle—from research and design through deployment and continuous optimization in production. The position involves close collaboration with engineering teams to embed advanced AI capabilities directly into the product.

Key Responsibilities

• Research and evaluate state-of-the-art LLMs, generative AI, and multi-agent systems
• Design, test, and optimize prompts to achieve high-quality conversational behavior
• Build and maintain prompt libraries, templates, and automated testing frameworks
• Adapt and fine-tune large language models for specific product use cases
• Optimize models for performance, accuracy, latency, and cost
• Define KPIs and evaluation methodologies for conversational agent quality
• Develop monitoring frameworks to continuously improve AI performance in production
• Design and maintain production-ready AI pipelines, primarily in Python
• Handle large-scale data ingestion, preprocessing, and analysis
• Collaborate with core engineering teams to integrate AI components into the overall system architecture

Requirements

Must-Have:

• Master’s or PhD in Computer Science, AI/ML, Mathematics, or a related field
• 4+ years of professional experience developing in Python (Node.js is an advantage)
• Proven applied research experience in LLMs, NLP, or conversational AI
• Demonstrated experience deploying AI models to production and iterating based on real-world feedback
• Strong expertise in prompt engineering and multi-agent systems
• Solid understanding of AI performance metrics and evaluation frameworks
• Excellent communication skills and ability to work in a small, collaborative team

Nice-to-Have:

• Experience working in cloud environments (AWS, GCP, or Azure)
• Background in healthcare technology and regulatory or compliance standards

What’s Offered

• High impact role contributing directly to healthcare quality and efficiency
• Significant ownership and influence over core AI decisions
• Opportunity to work with cutting-edge conversational AI technologies in a real-world, high-impact domain
• Hybrid work model combining office and remote work

Company location: Tel Aviv, Israel - 2 days from home

Number of employees: 60

This position reports to: R&D / Development Manager