About this role
Design, implement, and maintain AI-powered applications for a European energy transmission operator, leveraging large language models, retrieval-augmented generation, multi-agent workflows, and cloud-native architectures to ensure reliable, secure, and scalable solutions." Key responsibilities Design and implement AI-powered applications using large language models, retrieval-augmented generation, and agentic workflow patterns. Build backend services, APIs, and integrations to support AI-centric solutions. Design and optimize retrieval pipelines, including embeddings, vector search, hybrid search, metadata filtering, and reranking. Define safe usage patterns for AI tools, human-in-the-loop processes, and agent behaviors. Support selection and benchmarking of models and frameworks based on quality, cost, latency, maintainability, and security. Troubleshoot issues including hallucinations, retrieval errors, latency spikes, cost inefficiencies, and unreliable outputs. Develop reliable AI orchestration workflows by integrating LLM APIs and workflow frameworks. Implement evaluation, testing, monitoring, and observability mechanisms for AI applications. Collaborate with fellow engineers and product or business stakeholders to align technical solutions with requirements. Software engineering best practices Backend development API design and integration Retrieval pipeline design AI workflow orchestration Observability and monitoring implementation AI application evaluation methods Security best practices for sensitive data Cloud-native application development Technical communication of trade-offs Cross-functional collaboration Pragmatic problem-solving Qualifications 5+ years of software engineering experience 1+ year of integrating generative AI or LLM services into applications Fluency in English Fluency in French or Dutch