> Markdown version of [/jobs/ext/3044363-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3044363-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Parser Limited - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Information Engineering, Software Debugging, Distributed Data Store, Monitoring of Systems, Systems Development Life Cycle, Standard Sql, Software Engineering, Management of Software Versions, Data Logging, Large Language Models, Apache Spark, Generative AI, AI Platforms, Data Analytics, Machine Learning Operations, Databricks - **Published:** September 24, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## 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 ## Related Videos - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)