Senior AI Engineer
At a glance
Senior AI Engineering role at parser. Madrid · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and run AI solutions in production, including systems using generative AI and large language models
- Work with large analytical datasets, using SQL and data platforms such as Spark, Trino or Databricks
- Set up model lifecycle processes, monitoring, evaluations and deployment automation for AI systems
- Share progress through documentation, demos and incremental code changes, and align with teammates on key decisions
- Test ideas with stakeholders, then refine solutions around analytics and trading users’ needs
What you bring
- At least five years developing data and AI systems that run in production
- Strong SQL skills and experience handling large analytical datasets
- Experience putting machine learning or LLM systems into production, including lifecycle and monitoring practices
- Hands-on AWS experience designing and operating production cloud infrastructure
- Strong software engineering fundamentals, testing discipline and experience with CI/CD
Who this fits
This senior role suits an engineer who combines AI, data and software engineering work with practical delivery and close collaboration. The position is based in Madrid and requires three on-site days each week in Chamartín.
From the employer
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
- 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.
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