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25 дней назад

Senior Agentic AI Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Turkey
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Agentic AI Engineer (AI/LLM): Defining and delivering enterprise Agentic AI platforms and multi-agent systems with an accent on scalable architecture, cloud platform engineering, and responsible AI governance. Focus on designing LLM and RAG solutions, driving reliability and security across distributed systems, and guiding technical strategy for large-scale banking initiatives.

Location: Istanbul, Türkiye (Vadistanbul office). Hybrid schedule: office attendance two days per week during three weeks of each month, with one fully remote week; fully remote work is also available throughout August.

Company

hirify.global provides scalable software development, data management, operations, and risk solutions for ING across an international network.

What you will do

  • Define the enterprise AI and Agentic AI architecture vision, standards, and technology roadmap.
  • Design and evolve enterprise AI platforms, LLM applications, RAG solutions, and multi-agent systems.
  • Lead architectural decisions and solve complex engineering challenges across multiple teams.
  • Set cloud, platform engineering, automation, DevOps, scalability, reliability, and cost-efficiency strategies for AI workloads.
  • Establish Responsible AI, security, privacy, compliance, governance, and risk-management standards.
  • Mentor engineers and architects, support hiring, and communicate technical strategy to senior stakeholders.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related field.
  • Typically 6+ years of software engineering and architecture experience, including enterprise-scale distributed systems and production AI platforms.
  • Expert Python development skills and strong knowledge of distributed systems, scalable architecture, event-driven architecture, and reliability engineering.
  • Hands-on experience with LLM applications, RAG, multi-agent systems, and frameworks such as LangGraph, LangChain, CrewAI, or AutoGen.
  • Experience with AWS, Azure, or GCP, plus Kubernetes, containers, infrastructure as code, and CI/CD.
  • Knowledge of Responsible AI, security, privacy, compliance, executive communication, stakeholder management, and technical mentoring.

Culture & Benefits

  • International projects and collaboration across ING locations.
  • 14 days of welcome leave, including during the first year.
  • Private health insurance for employees and families, private pension plan, meal card, transportation allowance, and MultiSport membership.
  • Career development opportunities, continuous learning, English-language development support, and international career paths.
  • Informal, collaborative environment with knowledge sharing, innovation initiatives, and flexible remote work during August.

Hiring process

  • Submit an application through the ING careers page and Workday.

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