Ai Engineer

Rakuten Tv
Barcelona, Spain
3 days ago

Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Junior

Job location

Barcelona, Spain

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Engineering
Python
Regression Testing
Web Services
Google Cloud Platform
Large Language Models
GIT
FastAPI
Build Management
Containerization
AI Platforms
Machine Learning Operations
Api Design
Software Version Control
Automation Anywhere
Docker

Requirements

Experteer Overview In this role you will help design, build and deploy AI-powered solutions for content discovery, personalization and operations at Rakuten TV. You will work closely with the AI Lead within the AI team to translate high-impact problems into concrete AI products. The role emphasizes AI-first delivery with rigorous engineering, observability, and measurable results. You will communicate findings through demos and documentation while collaborating with cross-functional teams to scale AI capabilities.Compensaciones / Beneficios - Partner with the AI Lead to identify high-impact technical problems and translate them into AI solutions - Design and implement end-to-end AI workflows including data, model/agent logic, evaluation and deployable prototype - Apply engineering best practices: reason about model behavior, design evaluation pipelines (golden datasets, regression tests, human-in-the-loop) - Integrate prototypes into real systems via APIs and services with observability on latency, cost and quality - Produce clear demos and documentation; communicate results, tradeoffs and risks to technical and non-technical stakeholdersResponsabilidades - 1-3 years of end-to-end product development experience; internships relevant tothe role also valued - Hands-on experience with LLMs or AI agents - Proficiency in at least one programming language (Python a plus), Git knowledge, and familiarity with Docker and/or container technologies - Experience with cloud-based AI platforms (AWS, GCP, Azure) and AI services from providers (OpenAI, Anthropic, etc.) - Familiarity with MLOps: model versioning, experiment tracking, monitoring, and API development with FastAPI or similar - Strong understanding of AI fundamentals: model failures, hallucinations, grounding strategies and evaluation-driven developmentRequisitos principales - hybrid model - flexible hours - Friday afternoon off - training resources - flexible remuneration options - wellbeing platforms

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