About the role:

We are looking for technically strong, pragmatic engineers with a primary focus on AI, including hands-on experience with Generative AI and large language models (LLMs). Candidates should also bring solid software engineering practices and a good data background, enabling them to build, deploy, and operate AI-driven solutions in production. We value engineers who collaborate openly, adapt quickly, and focus on delivering practical, usable outcomes.

Experience and requirements:

- Data & Analytics Engineering

- Strong SQL and experience working with large analytical datasets

- Familiarity with distributed data platforms (e.g., Spark, Trino, Databricks)

- Understanding of data modelling, joins, aggregations, and performance trade-offs

- MLOps & AI Platform Operations

- Experience operationalizing ML and LLM-based systems in production environments

- Familiarity with model lifecycle management (training, versioning, deployment, rollback)

- Understanding of monitoring and observability for ML systems (performance, drift, data quality)

- Experience with automation around pipelines, evaluations, and deployments

- Awareness of scalability, reliability, and cost considerations for AI workloads

- Evaluation, Reliability & Safety

- Understanding of AI evaluation approaches (offline tests, benchmarks, qualitative review)

- Familiarity with logging, monitoring,



and debugging AI-driven systems

- Awareness of common AI risks (hallucinations, bias, drift) and mitigation strategies

- Software Engineering Practices

- Strong coding fundamentals and testing discipline

- Experience with CI/CD pipelines and production environments

- Comfortable working with evolving requirements and iterative delivery

Your background:

- Demonstrated +5 years of experience in data engineering and AI/system development in a production environment

- Proven ability to ship iterative, user-focused solutions with attention to reliability and safety

- Strong communication skills and a collaborative mindset

- Experience in analytics or trading domains

- Experience with vector databases, retrieval-augmented generation (RAG), or LM-based tooling in production

Location:

Madrid
Office presence required: Yes (hybrid)
Frequency: 3 times a week at the office

Some of the benefits you’ll enjoy working with us:

- A highly competitive compensation package.

- Medical insurance.

- The chance to join an organization with triple digit growth that is changing the paradigm on how software products are built.

- The opportunity to form part of an amazing, multicultural community of tech experts.

Come and join our #ParserCommunity.

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📌 AI Engineer (Madrid)
🏢 Importante empresa
📍 Madrid