Junior AI Engineer - Build Real-World AI Features

Galileo Studio; Las Rozas de Madrid; On-site; EUR 32,000 - 42,000; Full time

Job summary

Galileo Studio is seeking a Junior AI Engineer to help design, prototype and ship AI solutions in real products—from copilots to RAG pipelines and automations for SMEs. You’ll work with senior engineers and founders on ventures like WorkOps, Acatia Compliance and Piro IP.

You will implement AI features, prototype integrations with model APIs, and help build prompts and orchestration tooling while preparing datasets and quality checks for real use cases.

Qualifications

• 0-2 years of software development experience with an AI/ML focus, or demonstrable academic/personal projects.
• Practical knowledge of Python or TypeScript and familiarity with REST APIs.
• Basic experience with LLMs, embeddings or frameworks like LangChain/LangGraph is a plus.
• Ability to read technical papers/docs and apply learnings in code.
• Product mindset: you care that what you build works in production.
• Fluent Spanish and technical English for documentation and team communication.

Responsibilities

• Implement and maintain AI features in web and SaaS products (LLMs, embeddings, RAG)
• Prototype integrations with model APIs (OpenAI, Anthropic, Azure OpenAI, etc.)
• Build and evaluate prompts, agent flows and orchestration tooling
• Prepare datasets, ingestion pipelines and quality checks for real use cases
• Collaborate on code reviews, technical documentation and cloud deployments
• Research new techniques and turn them into measurable improvements for clients and ventures

Skills

AI/ML familiarity

Python

TypeScript

REST APIs

Prototyping

Tools

LangChain/LangGraph

Job description

Galileo Studio is seeking a Junior AI Engineer to help design, prototype and ship AI solutions in real products—from copilots to RAG pipelines and automations for SMEs. You’ll work with senior engineers and founders on ventures like WorkOps, Acatia Compliance and Piro IP.

You will implement AI features, prototype integrations with model APIs, and help build prompts and orchestration tooling while preparing datasets and quality checks for real use cases.