About the role
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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