Senior AI Engineer for RAG Solutions on Azure and Kubernetes (Employed or freela

免费注册后解锁"你的匹配分 vs 高分画像"与个人技能缺口。

📋 Tasks and responsibilities This role focuses on the build and hypercare phases of complex AI services used by both employees and customers across the organization. You will work closely with an internal AI Platform Architect, another senior AI engineer and project teams including project management, business analysis and solution architecture. Your objective is to turn AI initiatives into operational, measurable and maintainable services. The environment combines managed Azure services with open-source components running on AKS. It includes Azure AI Foundry with Azure OpenAI models for LLM use cases and embeddings, Azure AI Search, Azure API Management and Azure AI Content Safety, alongside Python-based agent orchestration with LangChain, ingestion services on AKS, and MLflow on Databricks for evaluation and tracing. Infrastructure-as-Code for application-level Azure resources is managed with Terraform and Azure DevOps pipelines. What you will deliver Your activities may differ by project, but typically include: building the end-to-end RAG pipeline, from retrieval design to answer generation; developing the ingestion pipeline, including source connectors, chunking, embeddings and incremental refresh; implementing security trimming and ACL propagation; setting up agent orchestration, prompt templates and guardrails with Python and LangChain; configuring evaluation and tracing with offline evaluation datasets, retrieval metrics, answer-quality metrics, and end-to-end tracing of requests and agent steps; creating the Terraform, Helm and Azure DevOps artefacts required to deploy and operate the service on Azure and AKS; improving observability and cost control, including monitoring of latency, token usage, run cost and quality regressions after model or prompt changes; supporting hypercare and early production through incident analysis, tuning, runbooks, documentation and handover to the engineer responsible for the run phase. 📝 Your profile You have solid experience as a Senior AI Engineer in environments where Azure-based AI services move from design into production. Essential expertise for this role includes: senior-level experience with Python, RAG applications, LLMs, Azure OpenAI Service, Azure Kubernetes Service (AKS), Azure DevOps and Terraform; hands-on knowledge of Azure services used in AI delivery, deployment and operations; experience building and operating AI services with a strong focus on maintainability, evaluation and production readiness; good understanding of retrieval patterns, embeddings, prompt design, guardrails and observability for AI workloads. The following skills are also relevant: experience with LangChain; knowledge of vector databases; familiarity with Helm, MLflow, Databricks, Azure AI Search, Azure API Management and Azure AI Content Safety. You communicate professionally in Dutch or French, and you can work effectively in English. 💼 Offer You will be part of a growing Belgian SME where initiative and personal development are encouraged. We will provide you with an enjoyable work environment with fun colleagues. We will work out a career plan with you, with attention and a budget for extra education/certification. You can count on an attractive salary, supplemented with extra-legal benefits, including a company car. (Freelance is also possible) Originally posted on Himalayas

📋 任务与职责 该角色专注于复杂AI服务的构建和超关怀阶段，这些服务被组织内的员工和客户所使用。您将与内部AI平台架构师、另一位高级AI工程师以及项目团队（包括项目管理、业务分析和解决方案架构）紧密合作。您的目标是将AI计划转化为可运营、可衡量且可维护的服务。环境结合了托管Azure服务和运行在AKS上的开源组件。它包括Azure AI Foundry与Azure OpenAI模型用于LLM用例和嵌入、Azure AI Search、Azure API Management和Azure AI Content Safety，以及基于Python的LangChain代理编排、AKS上的摄取服务，以及Databricks上的MLflow用于评估和追踪。应用级Azure资源的基础设施即代码通过Terraform和Azure DevOps管道管理。您将交付什么 您的活动可能因项目而异，但通常包括：构建端到端RAG管道，从检索设计到答案生成；开发摄取管道，包括源连接器、分块、嵌入和增量刷新；实现安全修剪和ACL传播；使用Python和LangChain设置代理编排、提示模板和护栏；配置评估和追踪，包括离线评估数据集、检索指标、答案质量指标，以及请求和代理步骤的端到端追踪；创建在Azure和AKS上部署和运营服务所需的Terraform、Helm和Azure DevOps工件；改善可观测性和成本控制，包括监控延迟、令牌使用、运行成本以及模型或提示更改后的质量回归；通过事件分析、调优、运行手册、文档和移交给负责运行阶段的工程师来支持超关怀和早期生产。📝 您的简介 您在基于Azure的AI服务从设计进入生产的环境中拥有作为高级AI工程师的丰富经验。该角色的关键专业知识包括：在Python、RAG应用、LLM、Azure OpenAI Service、Azure Kubernetes Service (AKS)、Azure DevOps和Terraform方面具有高级经验；对AI交付、部署和运营中使用的Azure服务有实践知识；具有构建和运营AI服务的经验，重点关注可维护性、评估和生产就绪性；对检索模式、嵌入、提示设计、护栏和AI工作负载的可观测性有良好理解。以下技能也相关：具有LangChain经验；了解向量数据库；熟悉Helm、MLflow、Databricks、Azure AI Search、Azure API Management和Azure AI Content Safety。您能以荷兰语或法语进行专业沟通，并能有效地用英语工作。💼 提供 您将成为一个不断成长的比利时中小企业的一部分，这里鼓励主动性和个人发展。我们将为您提供一个愉快的工作环境，与有趣的同事共事。我们将与您一起制定职业计划，关注并为额外教育/认证提供预算。您可以期待有吸引力的薪资，辅以额外法定福利，包括公司车辆。（也可以 freelance） 原发布于 Himalayas

⚑ 岗位信息收录自公开招聘页（Himalayas），以雇主官网为准