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11 дней назад

AI Engineer (GenAI)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
Belgium
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
AI Engineer (GenAI): Building production-ready agentic SDLC workflows and cloud-native AI services with an accent on Python, Vertex AI, GitHub-based engineering tools, and reliable distributed systems. Focus on designing multi-agent architectures, improving agent quality through evaluation and monitoring, and operating secure, scalable services with CI/CD and Infrastructure as Code.

Location: Bruxelles Avenue Marnix (ING), Brussels, Belgium

Company

hirify.global supports ING Belgium's digital services through software engineering, site reliability, and responsible AI capabilities.

What you will do

  • Develop production-ready GenAI and agentic solutions for Software Delivery Lifecycle workflows, from concept through production.
  • Build Python-based services on Google Cloud using Vertex AI, FastAPI, LangChain, and Google ADK.
  • Design reliable, secure, observable, scalable, and cost-efficient multi-agent systems and cloud-native AI workflows.
  • Integrate GitHub-based CI/CD workflows, automation, Infrastructure as Code, and operational practices such as Terraform.
  • Evaluate, test, monitor, and improve AI agent quality through feedback loops.
  • Collaborate with SREs, software engineers, product partners, and subject-matter experts to deliver measurable engineering outcomes.

Requirements

  • Solid software engineering background in backend, platform, cloud, data, or a related area.
  • Experience designing, building, documenting, testing, reviewing, and evolving production-ready solutions with Python, GitHub-based version control, RAG, vector databases, Docker, Terraform, and cloud-native patterns.
  • Ability to design and deliver reliable, scalable APIs and asynchronous services using REST or gRPC.
  • Experience with testing, documentation, code review, CI/CD, DevOps practices, and ownership of running systems.
  • Ability to translate loosely defined problems into clear solutions and adapt to evolving GenAI, LLM, agent orchestration, and LLMOps concepts.
  • Strong communication, collaboration, and technical judgment.

Nice to have

  • Experience with Kubernetes, OpenShift, or equivalent container orchestration platforms.
  • Understanding of LLM architecture, evaluation, limitations, and responsible AI use.
  • Experience with enterprise LLMs, agentic frameworks, event-driven architecture, OpenAPI, or high-throughput API services.
  • Open-source contributions or other evidence of knowledge sharing and engineering craft.

Culture & Benefits

  • Opportunity to grow software engineering foundations while developing expertise in modern AI and GenAI engineering.
  • Work on shared GenAI platforms, standards, and reusable solutions across ING Tech Belgium.
  • Hands-on exposure to evolving AI engineering technologies and ways of working.
  • Responsible and collaborative approach to scaling GenAI across engineering teams.

Hiring process

  • Optional introductory coffee with the hiring manager, a team member, or the recruiter.
  • A later My Job Your Job session may provide more detail about the role.

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