AI Full Stack Engineer

European Tech Recruit; Madrid; On-site; EUR 90,000 - 120,000; Full time

Job summary

A leading recruitment agency is looking for a Senior Consultant specializing in AI, Semiconductor, and Embedded Systems in Madrid. The role involves taking ownership of AI solutions from concept to production, building intelligent systems, and collaborating across teams to deliver robust AI solutions. Ideal candidates should have strong Python skills, experience with machine learning frameworks, and a background in MLOps tools. This position offers an opportunity to shape the future of AI technology in real-world applications.

Qualifications

• Proven experience delivering AI solutions end to end.
• Strong Python skills with hands-on experience in machine learning frameworks.
• Practical experience with MLOps tools and data modeling.
• Experience building pipelines with Airflow and familiarity with data stacks.
• Practical experience with MLOps tools and practices, as well as data modelling with dbt and working with cloud data warehouses or data lakes.
• Experience building and scheduling pipelines with Airflow and familiarity with modern data stacks including Kafka, Spark, BigQuery, Redshift, or Snowflake.
• Strong understanding of model evaluation, reliability, and behaviour, including hallucination detection, prompt regression, safety scoring, and multi-hop reasoning.
• Solid knowledge of retrieval-augmented systems, graph-based retrieval, and prompt design.
• A pragmatic, builder-focused mindset with a passion for shipping robust, explainable, and production-ready AI systems.

Responsibilities

• Ownership of end-to-end, production-grade AI systems.
• Architecture of intelligent solutions and selection of appropriate tools.
• Design, build, and maintain scalable data and machine learning pipelines.
• Preparation and curation of high-quality datasets.
• Development of analytics foundations with dbt and orchestration of workflows.
• Hands-on design, training, evaluation, and deployment of machine learning models, including modern neural architectures and large language models.
• Implementation and experimentation with advanced retrieval and reasoning approaches such as RAG, Graph RAG, hybrid retrieval, graph construction, and entity linking.
• Optimisation and quantisation of models for efficient on-device or edge deployment when required.
• Close collaboration with product, data, and engineering teams to define tracking schemas, event-level data structures, and analytics standards.
• Contribution to the broader AI strategy and scaling of intelligent systems across the platform.

Skills

AI solution delivery

Python

MLOps tools

Machine learning frameworks (PyTorch, TensorFlow, Scikit-Learn, Hugging Face)

Airflow

Data modeling with dbt

Cloud data warehouses (Kafka, Spark, BigQuery, Redshift, Snowflake)

Model evaluation and reliability

Retrieval-augmented systems

Spark

BigQuery

Redshift

Snowflake

RAG

Graph retrieval

Prompt design

Edge deployment

Tools

Airflow

dbt

Kafka

Spark

BigQuery

Redshift

Snowflake

Job description

Senior Consultant | AI, Semiconductor, Embedded Systems, Software Engineering, C‑Suite

Join a forward‑thinking team where you will take full ownership of AI solutions from concept through to production. This role is ideal for a hands‑on Full‑Stack AI Engineer who enjoys building intelligent, scalable systems that deliver real customer value across data, machine learning, and infrastructure.

You will work across the entire AI lifecycle, shaping data foundations, developing advanced models, and deploying reliable, production‑ready solutions. The focus is on building robust systems that work in real‑world environments rather than isolated experiments.

Responsibilities

• Ownership of end‑to‑end, production‑grade AI systems, from initial concept through deployment, monitoring, and continuous iteration.
• Architecture of intelligent solutions that go beyond single models, selecting appropriate tools, frameworks, and system designs for each use case.
• Design, build, and maintenance of scalable data and machine learning pipelines covering ingestion, transformation, training, deployment, and performance monitoring.
• Preparation, cleaning, and curation of high‑quality datasets, alongside the design of feature stores that ensure consistent and reliable data access.
• Development of analytics foundations using reusable dbt models and orchestration of workflows with Airflow.
• Hands‑on design, training, evaluation, and deployment of machine learning models, including modern neural architectures and large language models.
• Implementation and experimentation with advanced retrieval and reasoning approaches such as RAG, Graph RAG, hybrid retrieval, graph construction, and entity linking.
• Optimisation and quantisation of models for efficient on‑device or edge deployment when required.
• Close collaboration with product, data, and engineering teams to define tracking schemas, event‑level data structures, and analytics standards.
• Contribution to the broader AI strategy and scaling of intelligent systems across the platform.

What you bring

• Proven experience delivering AI solutions end to end, with full ownership from planning and modelling through production and continuous improvement.
• Strong Python skills and hands‑on experience with machine learning frameworks such as PyTorch, TensorFlow, Scikit‑Learn, and Hugging Face.
• Practical experience with MLOps tools and practices, as well as data modelling with dbt and working with cloud data warehouses or data lakes.
• Experience building and scheduling pipelines with Airflow and familiarity with modern data stacks including Kafka, Spark, BigQuery, Redshift, or Snowflake.
• Strong understanding of model evaluation, reliability, and behaviour, including hallucination detection, prompt regression, safety scoring, and multi‑hop reasoning.
• Solid knowledge of retrieval‑augmented systems, graph‑based retrieval, and prompt design.
• A pragmatic, builder‑focused mindset with a passion for shipping robust, explainable, and production‑ready AI systems.

Apply now to take the next step in your career, or reach out directly for a confidential conversation at [e-mail].

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In accordance with local employment laws, applicants must have current, valid authorisation to work in Spain at the time of application. We are unable to sponsor employment visas for this role. Applications from individuals without existing work authorisation for Spain cannot be considered.