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?Нужен нидерландский
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Описание вакансии
Текст:
Hirify AI/Оригинал
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.
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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