Software Development Team Leader (AI)

Location: Ramat Gan, Israel

Company

hirify.global builds production-grade AI and decisioning technology for insurers and banks, supporting pricing, underwriting, claims, customer engagement, and other insurance decisions.

What you will do

• Lead the team’s daily work from technical design through successful delivery of the Analytics & Modeling Service.
• Evaluate tools, frameworks, and architectures through POCs and convert successful experiments into production solutions.
• Drive AI-assisted engineering across coding, testing, and code review, while establishing development guardrails and measuring impact.
• Own the architecture, APIs, data models, product capabilities, and infrastructure for performance, scalability, reliability, and cost efficiency.
• Partner with Product, Data Science, and Architecture to build AI-powered capabilities.
• Work with insurers’ business and IT teams on requirements, architecture, integration, deployment, security, infrastructure, demonstrations, and feedback; hire, mentor, and develop team members.

Requirements

• 3–5 years of proven experience as a team lead in a fast-paced environment.
• Strong Java proficiency, including hands-on experience with application performance and scale on cloud services.
• Proven ability to design scalable, distributed, cloud-based systems and take services, APIs, data flows, and infrastructure from design to production.
• Experience with relational databases; JPA, Hibernate, or EclipseLink is an advantage.
• Deep understanding of cloud platforms; AWS services including EC2, S3, ECS autoscaling, and RDS are an advantage.
• Hands-on experience with AI-assisted development tools such as Claude Code, Copilot, or Cursor, and a clear view of their impact on engineering work.
• Track record of evaluating new technologies and leading POCs through production adoption.
• Curiosity, experimentation, pragmatic technology evaluation, analytical thinking, clear communication, cross-functional collaboration, and ownership of product success.

Nice to have

• Experience building with LLMs or GenAI, including APIs, agents, RAG, MCP, prompting, and evaluation practices.
• Customer-facing technical experience, such as requirements gathering, technical discussions with client IT teams, or product demonstrations.
• Experience defining engineering processes or methodologies at team or group level.
• Familiarity with Spark.
• Frontend knowledge of React, JavaScript, or TypeScript.

Culture & Benefits

• Collaborative, open, and supportive engineering culture.
• Opportunity to influence both product direction and engineering practices.
• Hands-on work across AI adoption, architecture, infrastructure, and customer-facing technical collaboration.