> Markdown version of [/jobs/ext/3518916-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3518916-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:** San Pablo, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Cloud Computing, 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:** October 1, 2026 - **Apply:** https://www.adzuna.es/details/5903629849 ## About the Role If you are looking for a place where you can think beyond execution, take true ownership of outcomes, influence decisions, and continuously learn alongside top-tier specialists in a truly global environment, we'd love to meet you. How will you impact? 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., * 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 + Hands-on experience with AWS, including designing and operating production-grade cloud infrastructure * 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 What you'll bring to the role: * 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 Nice to Have * Experience in analytics or trading domains * Experience with vector databases, retrieval-augmented generation (RAG), or LM-based tooling in production * Hands-on experience with AWS, including designing and operating production-grade cloud infrastructure ## Description Soft Skills * Collaboration & Ownership with Alignment + Share work early and often, making it visible through docs, demos, and incremental PRs + Own deliverables following team architecture and workflows + Communicate decisions, assumptions, and trade-offs clearly to the team + Avoid working in isolation on critical paths; seek alignment when decisions impact others * Curiosity & Bias to Action + Experiment, validate quickly, and iterate based on frequent stakeholder and team feedback + Suggest improvements grounded in problem-solving rather than tech preference + Balance exploration with delivery, avoiding over-engineering early * Pragmatism & User-Centric Thinking + Optimize for Analytics and Trading adoption, clarity, and trust + Make sensible trade-offs to deliver usable value early, even if the solution isn't yet "perfect" * Adaptability + Open to feedback and able to adapt as the team and project scale in communication, scope, and technical direction ## Related Videos - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [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) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [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) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Supercharge your cloud-native applications with Generative AI](https://www.wearedevelopers.com/videos/950-supercharge-your-cloud-native-applications-with-generative-ai) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [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)