AI Builder - Senior Software Engineer (AI)

Location: Ramat Gan, Israel

Company

hirify.global builds production-grade AI and decisioning technology for insurance and banking, including governed, real-time intelligence across pricing, underwriting, claims, customer engagement, and retention.

What you will do

• Build the shared AI platform, including agent harnesses, orchestration, model access, MCP servers, integrations, evaluation, observability, and cost tracking.
• Define golden paths, AI-readable repository context, and standards for AI-generated code, converting them into automated checks where possible.
• Connect agents to source control, Jira, Confluence, CI, observability, and other internal systems.
• Run workshops and office hours, pair with engineering and product teams, and coach AI champions.
• Try new tools and models, run pilots, recommend adoption decisions, and measure adoption, delivery speed, quality, and cost.
• Mentor Builder Experience students through guidance and code review.

Requirements

• 6+ years of software engineering experience, including strong backend or platform experience with production systems.
• Daily hands-on use of coding agents such as Claude Code, Cursor, or similar, beyond autocomplete; ability to demonstrate agent workflows, skills, or tools built.
• Experience building tools, platforms, or services used by other engineers.
• Solid knowledge of APIs, integrations, CI/CD, and cloud environments.
• Security-minded practices covering secrets handling, least privilege, and auditability.
• Clear written and spoken English, including the ability to explain technical concepts to senior engineers and product managers.

Nice to have

• Experience building MCP servers, agent frameworks, or LLM evaluation pipelines.
• Experience in platform engineering, DevEx, or developer productivity teams.
• Teaching experience through talks, internal workshops, blog posts, or open-source work.
• Background in insurance, fintech, or other regulated domains.

Culture & Benefits

• Join a small Builder Experience team whose work changes how the wider Product and Engineering organization operates.
• Spend approximately one day per week learning, testing new tools and models, and running short pilots.
• Work independently, own problems end to end, and focus on documentation, edge cases, and follow-through.
• Teach and multiply impact through workshops, office hours, pairing, and an internal champions network.
• Apply critical judgment to AI tools, verify their output, and prioritize high-risk areas such as pricing and customer data.