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Parser

Senior AI Engineer

Parser

. Build, deploy, and operate AI-driven solutions in production .

Posted 9/28/2026full-timeMadrid • SpainSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and operationalizing AI-driven solutions, particularly with Generative AI and large language models, while ensuring reliability and safety in production environments. Proficient in managing model lifecycles and optimizing for analytics and trading adoption.

Highest-signal resume keywords
Generative AILarge Language ModelsData EngineeringSQLAWS

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringGenerative AILarge Language ModelsSQLModel Lifecycle ManagementMonitoring and ObservabilityCI/CD PipelinesAutomationSoftware Engineering PracticesData Modelling
Soft Skills
Strong Communication SkillsCollaborative MindsetProblem-SolvingAdaptabilityAttention to Detail
Tools & Technologies
AWSSparkTrinoDatabricksML Pipelines
Industry Keywords
AI-Driven SolutionsProduction EnvironmentIterative DeliveryPerformance Trade-OffsAI Risks

Tech Stack

Tools & technologies
AWSCloudSparkSQL

About the role

Key responsibilities & impact
  • Build, deploy, and operate AI-driven solutions in production
  • Develop solutions using Generative AI and large language models
  • Share work early and often through documentation, demos, and incremental pull requests
  • Own deliverables following team architecture and workflows
  • Communicate decisions, assumptions, and trade-offs clearly to the team
  • Seek alignment when decisions impact others
  • Experiment, validate quickly, and iterate based on stakeholder and team feedback
  • Suggest practical improvements grounded in problem-solving
  • Balance exploration with delivery and avoid early over-engineering
  • Optimize for Analytics and Trading adoption, clarity, and trust
  • Deliver usable value early through sensible trade-offs
  • Adapt communication, scope, and technical direction as teams and projects scale
  • Operationalize ML and LLM-based systems
  • Manage model lifecycles, pipelines, evaluations, deployments, monitoring, observability, reliability, and safety
  • Collaborate with teams in an iterative delivery environment

Requirements

What you’ll need
  • +5 years of experience in data engineering and AI/system development in a production environment
  • Hands-on experience with Generative AI and large language models (LLMs)
  • Solid software engineering practices and a good data background
  • 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
  • Experience operationalizing ML and LLM-based systems in production environments
  • Familiarity with model lifecycle management, including training, versioning, deployment, and rollback
  • Understanding of monitoring and observability for ML systems, including performance, drift, and 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
  • Understanding of AI evaluation approaches, including offline tests, benchmarks, and qualitative review
  • Familiarity with logging, monitoring, and debugging AI-driven systems
  • Awareness of common AI risks, including hallucinations, bias, and drift, and mitigation strategies
  • Strong coding fundamentals and testing discipline
  • Experience with CI/CD pipelines and production environments
  • Comfort working with evolving requirements and iterative delivery
  • Proven ability to ship iterative, user-focused solutions with attention to reliability and safety
  • Strong communication skills and a collaborative mindset

Benefits

Comp & perks
  • 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