Overview

Si está considerando enviar una solicitud, asegúrese de pulsar el botón de solicitar de abajo después de leer la descripción completa.

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.

Responsabilidades

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 pipelines

Requisitos principales

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 web technologies including JavaScript, HTML, and CSS

Familiarity with xugodme 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 required

Effective communication

Collaborative teamwork

Strong ownership and accountability

Python

Java

TypeScript

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