AI & Software Infra Engineer (Agentic AI)

Location: Remote, Tel Aviv-Yafo, Israel

Company

hirify.global develops behavioral biometrics technology using machine learning to help financial institutions prevent fraud and improve digital trust.

What you will do

• Design and build internal AI platforms, reusable SDKs, libraries, tools, and MCP servers for agentic applications.
• Develop single- and multi-agent workflows covering planning, tool selection, delegation, state and memory management, execution, retries, fallbacks, error recovery, and human-in-the-loop approval.
• Integrate AI capabilities into Kubernetes infrastructure and Jenkins/GitHub Actions workflows for development, testing, deployment, and operations.
• Implement agent tracing, prompt and tool-call logging, latency and error monitoring, token and cost tracking, regression testing, and failure analysis.
• Apply guardrails, access controls, auditability, and governance practices for safe and reliable agent execution.
• Own AI platform capabilities from architecture through production, collaborate with engineering and business teams, and evaluate emerging AI frameworks, models, and cloud technologies.

Requirements

• At least 1 year of hands-on production experience building LLM-powered applications, AI agents, multi-agent systems, or internal AI platforms.
• Hands-on experience with LangChain, LangGraph, Claude Agent SDK, and OpenAI and/or Anthropic APIs.
• Strong understanding of agent architecture, including planning, tool selection, delegation, state and memory management, retries, fallbacks, error recovery, and human-in-the-loop workflows.
• Experience with prompt and context engineering, tool/function calling, structured outputs, and MCP servers and clients, including tool schemas, permissions, reliable execution, and error handling.
• Experience implementing AI evaluations and regression tests for agent quality, task completion, tool usage, behavioral changes, and failure modes.
• Experience with AI observability, including traces, prompts, tool calls, latency, errors, token consumption, costs, and production debugging.
• Understanding of AI guardrails, security controls, auditability, governance, and safe agent execution, with the ability to apply critical thinking and sound judgment to AI inputs.
• At least 2 years of hands-on development experience with Python and/or TypeScript, including asynchronous backend services and APIs using FastAPI or an equivalent modern framework.
• Strong experience with Kubernetes and Helm, including deployment, networking, resource management, autoscaling, troubleshooting, chart development, templating, versioning, and release management.
• Strong experience with Docker, Jenkins, GitHub Actions, and AWS and/or Azure; familiarity with Infrastructure as Code, GitOps, and Git-based collaborative workflows.

Culture & Benefits

• Remote work arrangement associated with the Tel Aviv-Yafo, Israel position.
• Hands-on ownership of AI platform capabilities from architecture through production.
• Collaboration with engineering and business teams to identify and deliver high-impact AI solutions.
• Opportunity to evaluate and adopt emerging AI frameworks, models, and cloud technologies where they provide measurable value.