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 general 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
* 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
* 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
* 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”
* Open to feedback and able to adapt as the team and project scale in communication, scope, and technical direction Hard Skills
* 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
* 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
* 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
* 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 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. #J-18808-Ljbffr

📌 Senior Artificial Intelligence Engineer (Comunidad de Madrid)
🏢 Parser
📍 Comunidad de Madrid