Overview 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.

ResponsabilidadesUse AI coding assistants daily to boost productivity and code qualityIntegrate LLM APIs into production applications and manage token limits and latencyApply AI across the full software delivery lifecycle including AI-generated tests and debuggingOwn the quality and reliability of AI-generated outputs and judge production readinessDefine and track KPIs for AI-assisted workflows and present metrics to stakeholdersOwn end-to-end delivery from design to production support in Agile sprintsContribute to shared knowledge bases, reusable components,



and internal AI tooling standardsBuild and integrate full-stack layers and interfaces connecting to agentic backends and AI pipelines Requisitos principalesCommercial 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 TypeScriptHands-on experience using AI tools in day-to-day engineering work with practical AI problem-solving examplesDirect experience calling LLM APIs in production code with understanding of token management, latency, and cost tradeoffsBasic understanding of web technologies including JavaScript, HTML, and CSSFamiliarity with cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelinesUnderstanding of Agile delivery fundamentalsExperience with databases — SQL or NoSQLAbility to validate, evaluate, and improve AI-generated outputs; understanding AI limitations and responsible useFamiliarity with agentic system concepts—orchestration frameworks (LangChain, LangGraph, or equivalent), RAG pipelines; production experience preferred, conceptual understanding requiredEffective communicationCollaborative teamworkStrong ownership and accountabilityPythonJavaTypeScript

📌 AI Native Software Engineer - Senior Analyst - Accenture (Sevilla)
🏢 Jobrapido
📍 Sevilla