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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What We Do
At Parser we help organisations leverage on digital to advance their business strategy.
For us, creativity, talent, and passion are indispensable to succeed. This is why we are committed to building, nurturing, and empowering a diverse, multi-disciplinary environment, where every team member can grow professionally and achieve their ambitions, while helping our clients deliver amazing digital products.
Thanks to our flexible, distributed model of global operation and the high calibre of our experts, we have enjoyed triple digit growth over the past five years, creating amazing career opportunities for our people across 4 continents.
Our services:
- Digital Strategy & Transformation
We help you understand market trends, relevant technologies, and aligned with your business strategy we create your vision and set the digital direction. This enables you to focus efforts and integrate business and technology across your organisation.
- Digital Portfolio Management
Based on a clear vision and direction, we help you assess your position, execute your digital strategy and manage your portfolio. We do this by integrating a range of diverse business and technical practises, transforming your organisation in the process.
- Product & Service Development
We help you create new experiences by designing user journeys that bridge all of the relevant departments of your organisation. By harnessing our ecosystem of specialised talent, we can provide relevant and focused expertise on demand.
