Software Infrastructure Developer (Agentic AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Software Infrastructure Developer (Agentic AI): Designing and building internal AI platforms and agentic workflows to automate engineering systems with an accent on LLM-powered applications, MCP servers, and RAG pipelines. Focus on integrating GenAI into CI/CD workflows and Kubernetes infrastructure to improve system stability and developer productivity.
Location: Tel Aviv, Israel
Company
is a leader in behavioral biometrics, using machine learning to analyze digital behavior to combat fraud for global financial institutions.
What you will do
- Design and build internal AI platforms, reusable SDKs, and MCP servers for agentic applications.
- Develop complex single- and multi-agent workflows involving planning, state management, and human-in-the-loop approval.
- Integrate AI capabilities into Kubernetes infrastructure and Jenkins/GitHub Actions pipelines.
- Implement AI observability, including agent tracing, prompt logging, and cost tracking.
- Establish AI security guardrails, access controls, and governance practices.
- Collaborate cross-functionally to identify high-impact AI opportunities and translate them into scalable solutions.
Requirements
- Minimum 3 years of development experience with Python (FastAPI) and/or TypeScript.
- Minimum 2 years of production experience building LLM-powered applications, AI agents, or multi-agent systems.
- Deep expertise with Kubernetes, Helm, Docker, Jenkins, and GitHub Actions.
- Experience with cloud platforms such as AWS and/or Azure.
- Proficiency with AI frameworks including LangChain, LangGraph, and Claude Agent SDK.
- Experience implementing AI evaluations, regression tests, and observability tools.
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