13 часов назад
AI Engineer
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (Agentic AI/Python): Building autonomous AI agents, machine learning models, and production systems that analyze cloud infrastructure and drive resource-management decisions with an accent on multi-agent architecture, LLM integration, and end-to-end MLOps. Focus on designing safe and reliable AI systems, integrating infrastructure data through MCPs, and delivering sub-2-second responses with measurable business impact.
Location: Tel Aviv, Israel
Company
develops an autonomous cloud and AI infrastructure resource management platform that helps enterprises optimize production environments and reduce cloud costs.
What you will do
- Design and build autonomous AI agents for real-time infrastructure analysis, troubleshooting, optimization, FinOps, and how-to workflows.
- Develop multi-agent systems using agentic frameworks such as LangGraph and PydanticAI, with tool use, memory, retrieval, and conversational AI.
- Build MCPs and integrations with infrastructure data, metrics, configurations, Slack, Jira, Cursor, and Windsurf.
- Develop, deploy, monitor, and continuously improve machine learning models and complete MLOps pipelines for resource policies, scaling triggers, and GPU configurations.
- Create internal AI tools and customer-facing tools for Sales and Support, including infrastructure analysis and automated cost-optimization reports.
- Own AI systems from concept to production, including evaluation frameworks, security controls, reliability, latency, and cost optimization, while defining AI architecture and best practices.
Requirements
- Typically 4+ years of software engineering experience with strong Python skills and solid backend engineering fundamentals.
- Experience building and operating production systems in cloud environments.
- Practical experience bringing LLM-based systems into production, including managing latency, cost, and failure modes.
- Experience or familiarity with agentic and evaluation frameworks such as LangChain or MetaGPT.
- Experience enabling LLMs to consume structured or operational data, including configurations, logs, and metrics.
- Strong ownership, independence, cross-team collaboration, and motivation to grow into technical leadership.
Nice to have
- Experience with retrieval-augmented generation and vector databases.
Culture & Benefits
- Opportunity to join a newly forming AI Group at an early stage.
- Greenfield, long-term work with direct production impact.
- Opportunity to shape AI architecture, data governance, technical standards, and future customer-facing AI products.
- Potential to grow into technical leadership as the AI Group scales.
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