Senior AI Engineer

Senior Artificial Intelligence Engineer Who 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 global 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 direction Hard 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 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 Location: 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