11 дней назад
AI Engineer (GenAI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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.
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 →