Ai Engineer

Rakuten Tv
Barcelona, Spain
23 days ago

Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Shift work
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Engineering Python (Programming Language) Regression Testing Web Services Google Cloud Large Language Models Git Fastapi Build Management
+7 more
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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