Hybrid Junior AI Engineer – Madrid

at Transilvania HR

• Job title: Junior AI Engineer – Madrid
• Job type: Full Time
• Experience level: Junior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Numpy, Pandas, Python, Scikit-Learn, SQL
• Location requirements: Hybrid, Madrid, Spain

About the role

• Junior AI Engineer tasked with developing machine learning models and collaborating on AI solutions in a hybrid setup. Supporting the integration of AI agents while gaining mentorship from senior engineers.

Responsibilities

• Develop, test, and optimize machine learning models and AI agents using Python.
• Contribute to building LLM-based solutions, including basic RAG workflows, embeddings, prompt engineering, and evaluation.
• Participate in the development of PoCs and early-stage prototypes, helping transform exploratory ideas into working solutions.
• Support the integration of models or agents into applications or pipelines under the guidance of senior engineers.
• Collect, clean, and transform datasets from various sources to ensure high-quality model inputs.
• Conduct exploratory data analysis (EDA) to identify patterns, validate hypotheses, and support informed decision-making.
• Prepare clear documentation of data processes, model behavior, and experimental findings.
• Work with cross-functional teams to understand business challenges and translate them into AI tasks.
• Build visualizations and analytical summaries using tools such as Plotly or Matplotlib.
• Present results to both technical and non-technical stakeholders in a clear and structured manner.

Requirements

• Bachelors or Masters degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
• 1-2 years of experience in applied machine learning, AI development, data science, or similar roles.
• Python skills for data work and model development.
• Working knowledge of SQL.
• Experience with ML libraries such as scikit-learn, pandas, NumPy.
• Familiarity with GenAI concepts including LLMs, embeddings, RAG, or basic parameter tuning.
• Basic understanding of agent frameworks, or strong willingness to learn (e.g., LangChain, Agent SDK).
• Experience using Git and standard ML tooling.
• Experience with vector databases, Dataiku, Snowflake, or cloud platforms is a nice to have.
• Exposure to Power Apps / Power Automate is a plus.
• Understanding of model evaluation, prompt testing, or experiment tracking is a plus.
• Ability to translate analytical results into clear, actionable insights.
• Strong communication and collaboration abilities.
• Curiosity and a proactive approach to learning new tools, technologies, and GenAI concepts.
• Upper-intermediate English proficiency.

Benefits

• Mentorship from senior AI engineers, with a clear growth path toward mid-level roles.
• Exposure to cutting-edge GenAI tools, LLM frameworks, and agent-based architectures.
• Opportunities to work on meaningful PoCs and innovative AI initiatives.
• A supportive environment that encourages experimentation, learning, and rapid skill development.