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)
🏢 Parser
📍 Madrid