AI Engineer - US

Role overview Build AI agents and automations that help a go-to-market organization spend less time on repetitive work. You will work alongside customer-facing teams to understand their day-to-day processes, deliver and refine practical tools, and connect field needs with the team responsible for the AI platform. The role works US hours.

Responsibilities - Map workflows with sales engineers, technical account managers, account managers, and sales representatives, including research, call preparation, renewals, follow-ups, and reporting. - Turn user requests into scoped solutions and build agents and automations using internal tools and business-system integrations. - Iterate with users regularly and track adoption and time saved. - Maintain prompts, reusable skills, and evaluations to keep output quality consistent as models and data change. - Share integration gaps, reusable components, and recurring failure patterns with the platform team. - Train go-to-market colleagues and help spread effective AI practices.

Requirements - At least two years of experience as a software or AI engineer; customer-facing, solutions, or forward deployed experience is useful. - Hands-on proficiency with Claude and ChatGPT, including applying them to real workflows and automation. - Comfort working with APIs and integrations, ideally including CRM and sales tools. - Strong communication skills and the ability to understand user needs and explain technical trade-offs. - A product-focused approach that considers whether people adopt and benefit from what is built. - Native Hebrew fluency.

Nice to have - Python experience building LLM applications or agents, including tool use, MCP, retrieval-augmented generation, or evaluations. - Experience in B2B SaaS, infrastructure, or DevOps.