3 часа назад
Software Infrastructure Developer (Agentic AI Focus)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Infrastructure Developer (Agentic AI Focus) (Python/TypeScript, Kubernetes, LLM): Building internal AI platforms, reusable SDKs, MCP servers, and agentic automation for engineering systems and CI/CD workflows with an accent on scalable infrastructure, agent orchestration, and production reliability. Focus on integrating AI into Kubernetes and delivery pipelines, implementing observability and evaluation systems, and applying security guardrails and governance to safe agent execution.
Location: Tel Aviv, Israel
Company
develops behavioral biometrics technology that uses machine learning to analyze digital behavior for fraud prevention and online identity protection.
What you will do
- Design and build internal AI platforms, reusable SDKs, libraries, tools, and MCP servers.
- Develop single- and multi-agent workflows with planning, delegation, state and memory management, retries, fallbacks, error recovery, and human approval.
- Integrate AI capabilities into Kubernetes infrastructure and Jenkins or GitHub Actions pipelines.
- 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 agent execution.
- Own AI platform capabilities from architecture through production and collaborate with engineering and business teams on scalable solutions.
Requirements
- At least 5 years of hands-on development experience with Python and/or TypeScript.
- Experience building asynchronous backend services and APIs with FastAPI or an equivalent modern framework.
- Strong experience with Kubernetes, Helm, Docker, Jenkins, GitHub Actions, and AWS and/or Azure.
- At least 2 years 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.
- Experience with MCP servers and clients, prompt and context engineering, tool or function calling, structured outputs, AI evaluation, observability, security controls, and governance.
Culture & Benefits
- Hands-on ownership of AI platform capabilities from architecture through production.
- Cross-functional collaboration with engineering and business teams.
- Opportunity to evaluate emerging AI frameworks, models, and cloud technologies.
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