Senior Artificial Intelligence EngineerWho is Parser?Technology alone does not create impact- the right teams do. Founded in 2018, Parser is a boutique technology services and consulting firm helping general organisations solve complex business challenges through digital transformation, product development and AI enablement.We are a fast-growing team of 340 engineers and consultants across Europe (UK, Spain, Portugal), the Americas (US, Argentina, Uruguay, Colombia), and the Middle East.We combine global reach with a mindset focused on agility, senior expertise, and close collaboration. We work as an extension of our clients' teams, helping them define the right problems, shape solutions, and deliver technology-driven outcomes that create measurable business value. Our expertise spans software engineering, AI & data, product development, and customer experience, delivered by teams that combine strong technical depth with a consulting mindset.Why Join Us?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.Your key responsibilities: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 directionHard Skills- 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 deliveryWhat 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 mindsetNice 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 infrastructureLocation: Madrid, Spain. Hybrid (3 days on-site - Chamartín)Some of the benefits you'll enjoy working with us:- 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.- A highly competitive compensation package.- Medical insurance.Come and join our #ParserCommunity.Follow us on Linkedin#J-18808-Ljbffr

📌 Senior Ai Engineer (Madrid)
🏢 remoteo
📍 Madrid