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5 дней назад

Senior AI Engineer & Agentic Developer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
Senior AI Engineer & Agentic Developer (Azure/Agentic AI): Taking AI solutions from prototype to secure, scalable production with an accent on MLOps/AIOps, agentic AI, and production-grade data and inference pipelines. Focus on building RAG and tool-calling agents, implementing observability and evaluation frameworks, and embedding security, risk, compliance, and governance into AI systems.

Location: Hybrid in Brussels, Belgium

Company

hirify.global is an independent digital consultancy with a global presence that builds digital teams and delivers digital solutions for a diverse range of companies.

What you will do

  • Translate business needs into production AI solutions for claims management, fraud detection, underwriting, and other core processes.
  • Help data scientists deploy and operate models reliably, securely, and at scale.
  • Design data and inference pipelines, CI/CD processes, infrastructure-as-code, observability, monitoring, alerting, and drift detection.
  • Lead agentic AI solutions from proof of value to production, integrating agents with internal systems through APIs, tool use, function calling, RAG, and orchestration frameworks.
  • Define evaluation and testing frameworks with guardrails and red teaming, while embedding security, risk, compliance, and governance requirements.
  • Provide technical direction through architecture advice, code reviews, coaching, documentation, standards, and collaboration with product stakeholders and external delivery partners.

Requirements

  • At least 6 years of experience in software or data engineering, including at least 3 years as an AI/ML Engineer, MLOps Engineer, or in a comparable role.
  • Demonstrated experience bringing AI solutions into production and contributing to technical direction through architecture decisions, code reviews, and coaching.
  • Strong Python skills and sound software engineering practices, including testing and clean code.
  • Strong knowledge of MLOps/AIOps, CI/CD, Git, Docker, containers, Kubernetes, and infrastructure-as-code, particularly Terraform.
  • Experience building data and inference pipelines and working with model registries, feature stores, experiment tracking, monitoring, and alerting.
  • Experience with the Azure AI ecosystem, including Azure ML, Azure OpenAI, AI Foundry, Azure AI Search, and AKS.
  • Knowledge of Azure DevOps, Fabric, JFrog/ACR, and Microsoft or vector databases.
  • Practical knowledge of agentic AI, RAG, tool use/function calling, and orchestration frameworks.
  • Strong communication skills and a pragmatic, results-oriented approach, including the ability to explain technical decisions to non-technical stakeholders.
  • Very good spoken and written Dutch and English, plus basic French.

Nice to have

  • Familiarity with Copilot Studio, DSPy, and semantic caching.
  • Knowledge of security, governance, RBAC, secrets management, data privacy, and the EU AI Act.
  • Experience embedding governance into AI solutions with Security, Risk, and Compliance teams.
  • Experience advising product and domain stakeholders on architecture, risks, feasibility, and delivery sequencing.
  • Experience challenging and improving designs from external delivery partners.

Culture & Benefits

  • Friendly, open, multicultural, and diverse work environment with real responsibility and autonomy.
  • Flexi-hours and hybrid home/office work arrangements in Brussels.
  • Work-life balance, healthcare support, food allowances, and cost-effective, eco-friendly mobility plans.
  • Real digital projects, personal and professional development, IT training, and certification opportunities.
  • Exposure to various business industries and fast-evolving technical challenges.

Hiring process

  • One phone call followed by one onsite interview.
  • Expected response time is two open days; an offer is expected four days after the interview.

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