Home › Companies › Parser › AI Engineer (Spain / Madrid)
AI Engineer (Spain / Madrid)
Parser · Madrid, Madrid, 28036, Spain · Hybrid · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Parser |
| Title | AI Engineer (Spain / Madrid) |
| Normalized title | - |
| Department / team | - |
| Location | Madrid, Madrid |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-01-19 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Parser. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Madrid. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Parser |
| Source | cb9806e2-74a4-4732-9d91-b10f9f880838 |
| ATS provider | BambooHR |
Description
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.
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
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
Qualifications
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
Experieånce 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
Office presence required: Yes (hybrid)
Frequency: 3 times a week at the office
Some of the benefits you’ll enjoy working with us:
A highly competitive compensation package.
Medical insurance.
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.
Come and join our #ParserCommunity.
Follow us on Linkedin
Full job record
| Job ID | 9081e042f6e2fdd21d68f74c077ac87d0de42aff |
| Org ID | f54f2d29-5037-498b-a2f7-e923ab2f0afa |
| Source ID | cb9806e2-74a4-4732-9d91-b10f9f880838 |
| Board ID | cb9806e2-74a4-4732-9d91-b10f9f880838 |
| Provider | bamboohr |
| Provider Job Key | 454 |
| Title | AI Engineer (Spain / Madrid) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Madrid, Madrid, 28036, Spain |
| Department | — |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | — |
| Region | Madrid |
| City | Madrid |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://parser.bamboohr.com/careers/454 |
| Apply URL | https://parser.bamboohr.com/careers/454 |
| First Seen At | 2026-05-30 06:05:59Z |
| Last Seen At | 2026-06-06 10:27:14Z |
| Last Checked At | 2026-06-06 10:27:14Z |
| Last Changed At | 2026-05-30 06:05:59Z |
| Inactive At | — |
| Source Posted At | 2026-01-19 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=parser/date=2026-06-06/2026-06-06T10-27-11-061Z-9a42f55b4e392d5afeef3913ddb34b8e62acdde3a0d8e0c121265ac8abb874fb.json |
Event Fields
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"description": "<p><span style=\"font-size: 10pt\">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. 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font-weight: bold\">Hard Skills</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Data & Analytics Engineering</span></li>\n<li><span style=\"font-size: 10pt\">Strong SQL and experience working with large analytical datasets</span></li>\n<li><span style=\"font-size: 10pt\">Familiarity with distributed data platforms (e.g., Spark, Trino, Databricks)</span></li>\n<li><span style=\"font-size: 10pt\">Understanding of data modelling, joins, aggregations, and performance trade-offs</span></li>\n<li><span style=\"font-size: 10pt\">MLOps & AI Platform Operations</span></li>\n<li><span style=\"font-size: 10pt\">Experience operationalizing ML and LLM-based systems in production environments</span></li>\n<li><span style=\"font-size: 10pt\">Familiarity with model lifecycle management (training, versioning, deployment, rollback)</span></li>\n<li><span style=\"font-size: 10pt\">Understanding of monitoring and observability for ML systems (performance, drift, data quality)</span></li>\n<li><span style=\"font-size: 10pt\">Experience with automation around pipelines, evaluations, and deployments</span></li>\n<li><span style=\"font-size: 10pt\">Awareness of scalability, reliability, and cost considerations for AI workloads</span></li>\n<li><span style=\"font-size: 10pt\">Evaluation, Reliability & Safety</span></li>\n<li><span style=\"font-size: 10pt\">Understanding of AI evaluation approaches (offline tests, benchmarks, qualitative review)</span></li>\n<li><span style=\"font-size: 10pt\">Familiarity with logging, monitoring, and debugging AI-driven systems</span></li>\n<li><span style=\"font-size: 10pt\">Awareness of common AI risks (hallucinations, bias, drift) and mitigation strategies</span></li>\n<li><span style=\"font-size: 10pt\">Software Engineering Practices</span></li>\n<li><span style=\"font-size: 10pt\">Strong coding fundamentals and testing discipline</span></li>\n<li><span style=\"font-size: 10pt\">Experience with CI/CD pipelines and production environments</span></li>\n<li><span style=\"font-size: 10pt\">Comfortable working with evolving requirements and iterative delivery</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 10pt; font-weight: bold\">Qualifications</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Demonstrated +5 years of experience in data engineering and AI/system development in a production environment</span></li>\n<li><span style=\"font-size: 10pt\">Proven ability to ship iterative, user-focused solutions with attention to reliability and safety</span></li>\n<li><span style=\"font-size: 10pt\">Strong communication skills and a collaborative mindset</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 10pt; font-weight: bold\">Nice to Have</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Experience in analytics or trading domains</span></li>\n<li><span style=\"font-size: 10pt\">Experieånce with vector databases, retrieval-augmented generation (RAG), or LM-based tooling in production</span></li>\n<li><span style=\"font-size: 10pt\">Hands-on experience with AWS, including designing and operating production-grade cloud infrastructure</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 10pt; font-weight: bold\"><span style=\"text-decoration: underline\">Location:</span></span></p>\n<p><span style=\"font-size: 10pt\">Madrid </span></p>\n<p><span style=\"font-size: 10pt\">Office presence required: Yes (hybrid)</span></p>\n<p><span style=\"font-size: 10pt\">Frequency: 3 times a week at the office</span></p>\n<p><br></p>\n<p><br></p>\n<p><span style=\"font-size: 10pt; font-weight: bold\"><span style=\"text-decoration: underline\">Some of the benefits you’ll enjoy working with us:</span></span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">A highly competitive compensation package.</span></li>\n<li><span style=\"font-size: 10pt\">Medical insurance.</span></li>\n<li><span style=\"font-size: 10pt\">The chance to join an organization with triple digit growth that is changing the paradigm on how software products are built.</span></li>\n<li><span style=\"font-size: 10pt\">The opportunity to form part of an amazing, multicultural community of tech experts.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 10pt\">Come and join our #ParserCommunity.</span></p>\n<p><span style=\"font-size: 10pt\">Follow us on <a href=\"https://www.linkedin.com/company/parser/\" target=\"_blank\" rel=\"noopener noreferrer\">Linkedin</a></span></p>",
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