20 часов назад
Senior AI Engineers (AI)
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
Senior AI Engineers (AI): Design, build, and deploy production-grade autonomous agents, multi-agent systems, and LLM-powered enterprise applications with an accent on reusable architecture, agent orchestration, tool integration, cloud deployment, and workflow evaluation. Focus on building reliable long-running AI workflows, integrating LLMs with enterprise systems, and implementing monitoring, tracing, and MLOps practices.
Location: Remote for Europe-based candidates in Poland, Czechia, Bosnia and Herzegovina, Croatia, Romania, or France; potential future hybrid work in Prague
Company
is a boutique consultancy specializing in IT professional services and engineering talent solutions.
What you will do
- Architect and build production-grade autonomous AI agents and multi-agent orchestration frameworks.
- Develop reusable agent patterns and technical standards across multiple engineering squads.
- Integrate LLMs with APIs, databases, proprietary tools, and enterprise systems using reliable tool-calling and structured-output workflows.
- Design prompt strategies, context management, memory, agent state, error handling, and recovery mechanisms for long-running workflows.
- Implement monitoring, logging, tracing, and evaluation frameworks for agent behavior and model outputs.
- Deploy secure and scalable AI systems on public cloud infrastructure, primarily AWS, using MLOps/AIOps practices.
Requirements
- 5–10 years of professional software, data, or AI engineering experience.
- Strong hands-on development experience with Python.
- Proven experience designing and integrating LLM-powered or agentic AI applications.
- Experience with LangChain, AutoGen, CrewAI, or comparable agent orchestration frameworks.
- Experience with enterprise AI integration patterns including MCP, A2A, structured outputs, tool calling, or skills-based architectures.
- Fluent professional English is required. Experience deploying AI solutions on public cloud platforms, preferably AWS, and applying MLOps/AIOps practices is expected.
Culture & Benefits
- Full-time contractor assignment from October 2026 through July 2027, with potential extension.
- Work across multiple delivery squads and collaborate with engineering, data, cloud, and business teams.
- Remote work with potential future hybrid work in Prague.
Hiring process
- Initial qualification followed by technical and client interviews.
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