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.

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