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 integral 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

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

Whatyou'llbringtotherole

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

NicetoHave

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

📌 Senior AI Engineer (Madrid)
🏢 Parser
📍 Madrid