> Markdown version of [/jobs/ext/2209690-junior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2209690-junior-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Junior Ai Engineer - **Company:** Rakuten - **Location:** Barcelona, Spain - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Python (Programming Language), Web Services, Google Cloud, Large Language Models, Git, Fastapi, Containerization, AI Platforms, Machine Learning Operations, Api Design, Software Version Control, Automation Anywhere, Docker, Programming Languages - **Published:** August 24, 2026 - **Apply:** https://www.buscojobs.com.es/junior-ai-engineer-en-barcelona-ID-368602831 ## About the Role Compensaciones / Beneficios * Identify high-impact technical problems with AI Lead and translate them into concrete solutions * Build end-to-end AI workflows (data, model/agent logic, evaluation, deployable prototypes) * Apply engineering best practices: model behavior analysis, evaluation pipelines, human-in-the-loop review * Integrate prototypes into real systems via APIs and services with observability (latency, cost, quality) * Produce demos and documentation; clearly communicate results, tradeoffs, and risks to technical and non-technical stakeholders Responsabilidades * 1-3 years of end-to-end product development experience or relevant internships * Hands-on experience with LLMs or AI agents * Proficiency in at least one programming language (Python preferred) * Knowledge of Git and collaborative development practices; familiarity with Docker and/or container technologies * Experience with cloud AI platforms (AWS, GCP, Azure) and AI services (OpenAI, Anthropic, etc.) * Familiarity with MLOps: model versioning, experiment tracking, monitoring, API development (FastAPI or similar) * Strong understanding of AI fundamentals: model failure modes, hallucinations, grounding, and evaluation-driven development Requisitos principales * hybrid model * flexible hours * Friday afternoon off * training resources * wellbeing platforms * free coffee, juice, and lunch allowance ## Description Experteer Overview In this role you contribute to building AI-powered features for content discovery, personalization, and operational workflows.You will work under the AI Lead to translate high-impact problems into AI solutions and ship end-to-end AI pipelines.The position emphasizes rigor, observability, and clear technical communication to stakeholders.You will work in a hybrid, fast-moving environment within a global tech company that enables rapid experimentation and deployment of AI-driven products.Compensaciones / Beneficios * Identify high-impact technical problems with AI Lead and translate them into concrete solutions * Build end-to-end AI workflows (data, model/agent logic, evaluation, deployable prototypes) * Apply engineering best practices: model behavior analysis, evaluation pipelines, human-in-the-loop review * Integrate prototypes into real systems via APIs and services with observability (latency, cost, quality) * Produce demos and documentation; clearly communicate results, tradeoffs, and risks to technical and non-technical stakeholders Responsabilidades * 1-3 years of end-to-end product development experience or relevant internships * Hands-on experience with LLMs or AI agents * Proficiency in at least one programming language (Python preferred) * Knowledge of Git and collaborative development practices; familiarity with Docker and/or container technologies * Experience with cloud AI platforms (AWS, GCP, Azure) and AI services (OpenAI, Anthropic, etc.) * Familiarity with MLOps: model versioning, experiment tracking, monitoring, API development (FastAPI or similar) * Strong understanding of AI fundamentals: model failure modes, hallucinations, grounding, and evaluation-driven development Requisitos principales * hybrid model * flexible hours * Friday afternoon off * training resources * wellbeing platforms * free coffee, juice, and lunch allowance ## Related Videos - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)