3 дня назад
AI & Software Infra Engineer (Agentic AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI & Software Infra Engineer (Agentic AI): Building internal AI platforms, reusable SDKs, MCP servers, and AI-powered infrastructure and CI/CD workflows with an accent on agentic systems, Kubernetes, and production LLM applications. Focus on designing multi-agent execution, observability, evaluations, security guardrails, and reliable recovery workflows.
Location: Tel Aviv, Israel; onsite
Company
develops behavioral biometrics technology using 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-agent and multi-agent workflows covering planning, delegation, memory, execution, retries, fallbacks, error recovery, and human approval.
- Integrate AI capabilities into Kubernetes infrastructure and Jenkins and GitHub Actions CI/CD 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 AI 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.
- Familiarity with Infrastructure as Code, GitOps, and Git-based collaborative workflows.
- At least 2 years of hands-on production experience building LLM-powered applications, AI agents, multi-agent systems, or internal AI platforms.
- Experience with LangChain, LangGraph, Claude Agent SDK, OpenAI and/or Anthropic APIs, MCP servers and clients, AI evaluations, observability, prompt engineering, and agent security.
Culture & Benefits
- Hands-on ownership of AI platform capabilities from architecture to production.
- Opportunity to evaluate emerging AI frameworks, models, and cloud technologies.
- Collaboration across engineering and business teams to improve developer productivity and technology adoption.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
Похожие вакансии
5 дней назад
Senior DevOps Engineer (AWS/Kubernetes)
3 дня назад
Senior DevOps Engineer (AWS/Kubernetes)
5 дней назад
Sr/Principal Engineer Software (AI Transformation - QA)
4 дня назад
Senior Staff Software Engineer (AI Platform)
6 дней назад
Principal DevOps Engineer (Prisma Browser)
6 дней назад