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 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. Howwillyouimpact? 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 o Share work early and often, making it visible through docs, demos,



and incremental PRs o Own deliverables following team architecture and workflows o Communicate decisions, assumptions, and trade-offs clearly to the team o Avoid working in isolation on critical paths; seek alignment when decisions impact others
* Curiosity & Bias to Action o Experiment, validate quickly, and iterate based on frequent stakeholder and team feedback o Suggest improvements grounded in problem-solving rather than tech preference o Balance exploration with delivery, avoiding over-engineering early
* Pragmatism & User-Centric Thinking o Optimize for Analytics and Trading adoption, clarity, and trust o Make sensible trade-offs to deliver usable value early, even if the solution isn't yet "perfect"
* Adaptability o Open to feedback and able to adapt as the team and project scale in communication, scope, and technical direction Hard Skills
* Data & Analytics Engineering o Strong SQL and experience working with large analytical datasets o Familiarity with distributed data platforms (e.g., Spark, Trino, Databricks) o Understanding of data modelling, joins, aggregations, and performance trade-offs
* MLOps & AI Platform Operations o Experience operationalizing ML and LLM-based systems in production environments o Familiarity with model lifecycle management (training, versioning, deployment, rollback) o Understanding of monitoring and observability for ML systems (performance, drift, data quality)



o Experience with automation around pipelines, evaluations, and deployments o Awareness of scalability, reliability, and cost considerations for AI workloads o Hands-on experience with AWS, including designing and operating production-grade cloud infrastructure
* Evaluation, Reliability & Safety o Understanding of AI evaluation approaches (offline tests, benchmarks, qualitative review) o Familiarity with logging, monitoring, and debugging AI-driven systems o Awareness of common AI risks (hallucinations, bias, drift) and mitigation strategies
* Software Engineering Practices o Strong coding fundamentals and testing discipline o Experience with CI/CD pipelines and production environments o Comfortable working with evolving requirements and iterative delivery Whatyou'llbringtotherole:
* Demonstrated +5 years of experience in data engineering and AI/system development in a production environment
* Provenabilitytoshipiterative,user-focusedsolutionswithattentiontoreliabilityandsafety
* Strongcommunicationskillsandacollaborativemindset NicetoHave
* Experienceinanalyticsortradingdomains
* Experience with vector databases, retrieval-augmented generation (RAG), or LM-based tooling in production
* Hands-onexperiencewithAWS,includingdesigningandoperatingproduction-gradecloudinfrastructure

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

📌 Senior AI Engineer (Comunidad de Madrid)
🏢 Parser
📍 Comunidad de Madrid