Satellit - AI Software Engineer
Il y a 4 heures
Belgique
Satellit
Temps plein
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AI Software Engineer
Job Overview
Join a leading transmission system operator to develop AI-centric solutions that support a sustainable and reliable energy infrastructure. Work within a cross-functional software engineering team to design, build, evaluate, and maintain production-quality applications leveraging large language models, retrieval-augmented generation, and agentic workflows."
Key Responsibilities
Design and implement AI-powered applications using large language models, RAG, and agentic workflow patterns. Build backend services, APIs, and integrations for AI-centric applications. Design and improve retrieval pipelines including chunking, embeddings, vector search, hybrid search, metadata filtering, and reranking. Work with LLM APIs and AI orchestration frameworks to build reliable workflows. Implement evaluation, testing, monitoring, and observability for AI applications. Define safe and practical patterns for tool use, human-in-the-loop approval, and agentic behavior. Collaborate with engineers and product/business stakeholders to align technical solutions and requirements. Support selection of models and frameworks based on quality, cost, latency, maintainability, and security. Troubleshoot issues such as hallucinations, poor retrieval quality, high latency, cost inefficiency, and unreliable outputs. Skills and Competences Software engineering best practices Fullstack development API and service integration AI engineering practices Cloud-native application development Security-conscious development Evaluation and observability Technical communication Collaboration Deterministic vs AI-based solution assessment Qualifications 5+ years of experience as a Fullstack Developer
Key Responsibilities
Design and implement AI-powered applications using large language models, RAG, and agentic workflow patterns. Build backend services, APIs, and integrations for AI-centric applications. Design and improve retrieval pipelines including chunking, embeddings, vector search, hybrid search, metadata filtering, and reranking. Work with LLM APIs and AI orchestration frameworks to build reliable workflows. Implement evaluation, testing, monitoring, and observability for AI applications. Define safe and practical patterns for tool use, human-in-the-loop approval, and agentic behavior. Collaborate with engineers and product/business stakeholders to align technical solutions and requirements. Support selection of models and frameworks based on quality, cost, latency, maintainability, and security. Troubleshoot issues such as hallucinations, poor retrieval quality, high latency, cost inefficiency, and unreliable outputs. Skills and Competences Software engineering best practices Fullstack development API and service integration AI engineering practices Cloud-native application development Security-conscious development Evaluation and observability Technical communication Collaboration Deterministic vs AI-based solution assessment Qualifications 5+ years of experience as a Fullstack Developer