Experteer Overview Se anima a todos los posibles solicitantes a que se desplacen y lean la descripción completa del puesto antes de presentar su candidatura. As an AI Engineer (Software) you design, build, and ship production-grade software that leverages AI throughout the stack. You will work on real client programs to connect full-stack apps with agentic AI backends, LLM APIs, and enterprise AI pipelines. This role offers a clear path toward advanced engineering tracks and exposure to leading AI ecosystems. You will collaborate across industries, contribute to reusable AI tooling, and drive impact through AI-enabled delivery.Compensaciones / Ventajas• Use AI coding assistants daily to boost productivity and code quality• Integrate LLM APIs into production applications and manage token limits and latency• Apply AI across the full software delivery lifecycle including AI-generated tests and debugging• Own the quality and reliability of AI-generated outputs and judge production readiness• Define and track KPIs for AI-assisted workflows and present metrics to stakeholders• Own end-to-end delivery from design to production support in Agile sprints• Contribute to shared knowledge bases, reusable components,



and internal AI tooling standards• Build and integrate full-stack layers and interfaces connecting to agentic backends and AI pipelinesResponsabilidades• Commercial software engineering experience in production environments or proven equivalent (academic projects, internships, shipped personal projects)• Proficiency in at least one backend language: Python, Java, or TypeScript• Hands-on experience using AI tools in day-to-day engineering work with practical AI problem-solving examples• Direct experience calling LLM APIs in production code with understanding of token management, latency, and cost tradeoffs• Basic understanding of xqbhyrx web technologies including JavaScript, HTML, and CSS• Familiarity with cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines• Understanding of Agile delivery fundamentals• Experience with databases — SQL or NoSQL• Ability to validate, evaluate, and improve AI-generated outputs; understanding AI limitations and responsible use• Familiarity with agentic system concepts—orchestration frameworks (LangChain, LangGraph, or equivalent), RAG pipelines; production experience preferred, conceptual understanding requiredRequisitos principales•

📌 AI Engineer (Sevilla)
🏢 Accenture
📍 Sevilla