Senior GenAI Engineer

Location: Holon (Hybrid)

Generative AI Specialist - Agentic AI Development

Experience Level: Senior Level

About Us

Sapiens is a global leader in the insurance industry, delivering its award-winning, cloud-based SaaS insurance platform to over 600 customers in more than 30 countries. Sapiens’ platform offers pre-integrated, low-code capabilities to accelerate customers’ digital transformation. With more than 40 years of industry expertise, Sapiens has a highly professional team of over 5,000 employees globally.

Role Overview

We're seeking an experienced Generative AI Specialist to design and implement sophisticated agentic AI systems that can autonomously handle complex workflows. You'll be responsible for architecting AI agents that can interact with various data sources, make intelligent decisions, and deliver actionable insights to our customers. This role represents a unique opportunity to pioneer enterprise-scale agentic AI implementation, establishing new paradigms for autonomous decision-making and intelligent automation.

Key Responsibilities

• Design and deploy production-grade agentic AI systems that can autonomously process customer documents and queries
• Architect retrieval-augmented generation (RAG) pipelines for large-scale document management and intelligent information extraction
• Implement multi-agent orchestration frameworks that can coordinate between different specialized AI components
• Develop robust context management systems for handling extensive customer data while maintaining efficiency and accuracy
• Create and optimize AI workflow automation that can handle dynamic customer requirements and business scenarios
• Ensure AI system reliability, scalability, and compliance with industry regulations
• Implement comprehensive performance monitoring systems to track AI output quality, accuracy, and relevance
• Collaborate with cross-functional teams to integrate AI agents with existing business processes and systems
  
  

• Minimum 2 years of hands-on experience developing and deploying agentic AI systems in production environments
• Proven track record of building AI agents that can autonomously handle complex tasks and decision-making
• Strong experience with RAG architectures, vector databases, and document processing pipelines
• Experience with production deployment of AI systems including monitoring, testing, and optimization
• Proven experience designing quality metrics, feedback loops, and continuous improvement processes for AI systems
• Knowledge of enterprise-grade AI infrastructure and MLOps practices
• Knowledge of AI safety, ethics, and compliance requirements