Experteer Overview

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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 / Incentivos

- 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

Responsabilidades

- 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 xugodme 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 required

Requisitos principales

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📌 AI Engineer (Sevilla)
🏢 Accenture
📍 Sevilla