AI Platform Engineer

Location: Tel Aviv, Israel

Company

hirify.global develops data-driven and personalized technology to support behavioral healthcare clinicians and improve mental health treatment.

What you will do

• Own AI Platform team KPIs and identify the engineering problems and opportunities that will move them.
• Work with R&D engineers to understand SDLC bottlenecks and determine where automation can provide meaningful impact.
• Design, build, and ship agentic workflows from prototype through production.
• Manage agent context, knowledge, and scaffolding across multiple agent harnesses as workflows scale.
• Build evaluation, checking, and feedback loops that improve agent reliability and detect incorrect outputs.
• Extend the AI platform through agents, integrations, and production infrastructure while proving measurable KPI impact.

Requirements

• 6–8+ years of hands-on experience in senior software engineering positions.
• Production experience building and shipping agentic workflows or LLM-powered systems.
• Hands-on experience with agent harnesses and designing, scaffolding, and optimizing agent context.
• Practical knowledge of LLMs, RAG, tool use, evaluations, and human-in-the-loop patterns.
• Strong software engineering fundamentals, including designing, building, and operating systems end to end.
• Ability to work from ambiguous goals or KPIs, discover problems, scope solutions, and communicate technical trade-offs and impact.

Nice to have

• Experience with Kubernetes, containers, or CI/CD infrastructure in production.
• Experience with MCP-based tooling, agent orchestration frameworks, or LLM gateways.
• Familiarity with observability tools such as Datadog.
• Experience in a fast-paced B2B SaaS environment or exposure to health tech and behavioral health.
• Cost-aware approach to managing token usage.

Culture & Benefits

• Small, hands-on AI Platform team focused on shipping production systems rather than pilots.
• Autonomy to prioritize work based on measurable impact instead of executing a pre-defined ticket queue.
• Close collaboration with engineers across R&D to keep the platform coherent as it grows.