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AI Engineer (Spain / Madrid)

Parser · Madrid, Madrid, 28036, Spain · Hybrid · Active · BambooHR

Job facts

FieldValue
CompanyParser
TitleAI Engineer (Spain / Madrid)
Normalized title-
Department / team-
LocationMadrid, Madrid
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-01-19 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Parser.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Madrid.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyParser
Sourcecb9806e2-74a4-4732-9d91-b10f9f880838
ATS providerBambooHR

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 ID9081e042f6e2fdd21d68f74c077ac87d0de42aff
Org IDf54f2d29-5037-498b-a2f7-e923ab2f0afa
Source IDcb9806e2-74a4-4732-9d91-b10f9f880838
Board IDcb9806e2-74a4-4732-9d91-b10f9f880838
Providerbamboohr
Provider Job Key454
TitleAI Engineer (Spain / Madrid)
Normalized Title
Statusactive
Activeyes
Location TextMadrid, Madrid, 28036, Spain
Department
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
Country
RegionMadrid
CityMadrid
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://parser.bamboohr.com/careers/454
Apply URLhttps://parser.bamboohr.com/careers/454
First Seen At2026-05-30 06:05:59Z
Last Seen At2026-06-06 10:27:14Z
Last Checked At2026-06-06 10:27:14Z
Last Changed At2026-05-30 06:05:59Z
Inactive At
Source Posted At2026-01-19 00:00:00Z
Source Updated At
Raw Payload Uris3://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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  "source_hash": "8a43e501d2eacf006203ca05acdee6d266ce65fc65310cfe50cd85d229b06b6e",
  "last_changed_at": "2026-05-30T06:05:59.364Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Madrid, Madrid, 28036, Spain",
    "city": "Madrid",
    "region": "Madrid",
    "country": null,
    "is_remote": false,
    "confidence": 0.8
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T10:27:14.829Z",
  "launch_scope": {
    "reason": "bamboohr_production_catalog",
    "included": true,
    "location": {
      "raw": "Madrid, Madrid, 28036, Spain",
      "city": "Madrid",
      "region": "Madrid",
      "country": null,
      "is_remote": false,
      "confidence": 0.8
    },
    "countries": []
  },
  "remote_policy": "hybrid",
  "salary_period": null,
  "workplace_type": "hybrid",
  "salary_currency": null
}
Extensions
{}
Native Structured
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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. We value engineers who collaborate openly, adapt quickly, and focus on delivering practical, usable outcomes.</span></p>\n<p><br></p>\n<p><span style=\"font-size: 10pt; font-weight: bold\">Soft Skills</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Collaboration &amp; Ownership with Alignment</span></li>\n<li><span style=\"font-size: 10pt\">Share work early and often, making it visible through docs, demos, and incremental PRs</span></li>\n<li><span style=\"font-size: 10pt\">Own deliverables following team architecture and workflows</span></li>\n<li><span style=\"font-size: 10pt\">Communicate decisions, assumptions, and trade-offs clearly to the team</span></li>\n<li><span style=\"font-size: 10pt\">Avoid working in isolation on critical paths; seek alignment when decisions impact others</span></li>\n<li><span style=\"font-size: 10pt\">Curiosity &amp; Bias to Action</span></li>\n<li><span style=\"font-size: 10pt\">Experiment, validate quickly, and iterate based on frequent stakeholder and team feedback</span></li>\n<li><span style=\"font-size: 10pt\">Suggest improvements grounded in problem-solving rather than tech preference</span></li>\n<li><span style=\"font-size: 10pt\">Balance exploration with delivery, avoiding over-engineering early</span></li>\n<li><span style=\"font-size: 10pt\">Pragmatism &amp; User-Centric Thinking</span></li>\n<li><span style=\"font-size: 10pt\">Optimize for Analytics and Trading adoption, clarity, and trust</span></li>\n<li><span style=\"font-size: 10pt\">Make sensible trade-offs to deliver usable value early, even if the solution isn’t yet “perfect”</span></li>\n<li><span style=\"font-size: 10pt\">Adaptability</span></li>\n<li><span style=\"font-size: 10pt\">Open to feedback and able to adapt as the team and project scale in communication, scope, and technical direction</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 10pt; font-weight: bold\">Hard Skills</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Data &amp; 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 &amp; 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 &amp; 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>",
    "compensation": null,
    "departmentId": null,
    "locationType": "2",
    "seekPromoted": false,
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    "jobOpeningName": "AI Engineer (Spain / Madrid)",
    "departmentLabel": "",
    "jobOpeningStatus": "Open",
    "minimumExperience": null,
    "jobOpeningShareUrl": "https://parser.bamboohr.com/careers/454",
    "employmentStatusLabel": "Full-Time"
  }
}
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GET https://api.bluedoor.sh/job-postings/v1/orgs/f54f2d29-5037-498b-a2f7-e923ab2f0afaJSON
GET https://api.bluedoor.sh/job-postings/v1/sources/cb9806e2-74a4-4732-9d91-b10f9f880838JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/9081e042f6e2fdd21d68f74c077ac87d0de42aff/eventsJSON