> Markdown version of [/jobs/ext/1473815-cloud-engineer-genai](https://www.wearedevelopers.com/jobs/ext/1473815-cloud-engineer-genai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud Engineer GenAI - **Company:** Telenet - **Location:** Mechelen, Belgium - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Engineering, Computer Programming, Continuous Integration, DevOps, Identity and Access Management, Python (Programming Language), Key Management, Software Deployment, Data Logging, Large Language Models, Generative AI, Cloudformation, Gitlab-ci, Kubernetes, Information Technology, Low Latency, AWS Fargate, Machine Learning Operations, Virtual Agents, Terraform - **Published:** July 29, 2026 - **Apply:** https://www.adzuna.be/details/5761945064 ## About the Role * Solid experience as a cloud, DevOps, platform or infrastructure engineer, ideally on AWS (certification is a plus). * Understanding of Agentic AI: LLM tool calling, MCP and A2A * Strong infrastructure-as-code skills (Terraform, CloudFormation) and hands-on experience with containers and Kubernetes. * Experience building CI/CD pipelines (e.g. GitLab CI) and a strong automation mindset. * Good scripting / programming ability, for example in Python. * Solid grounding in networking, security, identity (IAM) and secrets management (e.g. Vault). * A reliability- and cost-aware engineering attitude (SRE / FinOps thinking). Nice-to-haves (GenAI focus) * Familiarity with ML / GenAI workloads: model serving, and inference optimization. * Familiarity Langchain, Langgraph and Langfuse * Exposure to AWS Bedrock and/or SageMaker, vector databases and LLMOps / MLOps practices. * Understanding of RAG architectures, embeddings and prompt/guardrail tooling. Who you are * Cloud-native by mindset, with genuine passion for Generative AI and emerging technology. * A team player who thrives in agile squads and enjoys delivering services other teams build on. * Fluent in English; knowledge of Dutch is a plus. * Bachelor's or Master's degree in computer science or equivalent through experience. ## Description * Build the GenAI platform. Design and maintain the cloud foundation for Generative AI on AWS (e.g. Amazon Bedrock, SageMaker, ECS and Fargate, fully described as infrastructure-as-code with Terraform. * Run model serving & inference. Deploy, scale and operate LLM and model-serving / inference endpoints for latency, throughput, reliability and cost. * Automate everything (CI/CD & LLMOps). Build CI/CD and LLMOps pipelines for model and application deployment, evaluation and rollback, using GitLab CI and modern automation tooling. * Enable retrieval & data plumbing. Stand up RAG and vector-database infrastructure, embedding pipelines and retrieval services that GenAI applications depend on. * Secure the platform. Implement identity, network, secrets management (Vault), guardrails and compliance controls for GenAI workloads. * Make it observable & affordable. Set up monitoring, logging, tracing and evaluation hooks, and drive performance and FinOps cost optimization. * Champion cloud-native by design. Deliver consumable, well-documented platform services to GenAI and Predictive AI squads, promote cloud-native and automation-first ways of working, and help colleagues up- and cross-skill towards GenAI on the cloud. ## Related Videos - [Supercharge your cloud-native applications with Generative AI](https://www.wearedevelopers.com/videos/950-supercharge-your-cloud-native-applications-with-generative-ai) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [The Future of Developer Experience with GenAI: Driving Engineering Excellence](https://www.wearedevelopers.com/videos/1107-the-future-of-developer-experience-with-genai-driving-engineering-excellence) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)