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AI Engineer

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AI Engineer in Others

  • Wizeline
  • Full time
  • Email
  • Barcelona, Spain

Responsibilities

  • Architect and ship end-to-end agentic and LLM-powered tools for business-facing use cases.
  • Design model-flexible services that evaluate and switch between models based on performance.
  • Build production systems that transform raw content into structured, accurate, ready-to-use outputs.
  • Develop and maintain RAG pipelines and vector database integrations for retrieval-driven features.
  • Establish prompt evaluation, testing, and regression-control frameworks using tools such as Braintrust, MCP tooling, or LangFuse.
  • Deliver AI features from prototype through production across Python or TypeScript AI services and React, Vue, or Next.js frontends.
  • Partner with stakeholders and engineering leadership to measure impact and iterate on production tools.
  • Extend reusable architectures to support new use cases through configuration.
  • Stay current with GenAI, NLP, ML, IR, and cloud infrastructure best practices.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field, or equivalent work experience.
  • 4+ years of industry experience in machine learning engineering, AI engineering, or a related software engineering role.
  • Strong Python and/or TypeScript/Node.js programming skills for building AI services and consuming interfaces.
  • Hands-on experience deploying LLMs in production, building automated evaluation pipelines, and architecting tool-calling multi-agent systems with long-term memory.
  • Practical experience with LangChain and its ecosystem, including LangGraph and LangSmith, or comparable agent-orchestration frameworks.
  • Production experience with RAG architectures and vector databases.
  • Full-stack capability with frontend frameworks such as React or Vue and backend cloud services such as AWS or GCP.
  • Experience with Vertex AI or equivalent multi-model cloud AI platforms is preferred.
  • Familiarity with Braintrust, LangFuse, or MCP-based prompt-management and observability systems is preferred.
  • Comfort using AI tools to improve drafting, analysis, research, automation, and team workflows is preferred.
  • Familiarity with Docker, Git version control, and reliable, secure third-party API integration is preferred.

Benefits

  • High-impact environment.
  • Commitment to professional development.
  • Flexible and collaborative culture.
  • Global opportunities.
  • Vibrant community.
  • Total Rewards; specific benefits depend on employment type and location.

Wizeline

Wizeline, a global technology services provider, builds the best digital products and platforms at scale. We focus on measurable outcomes, partnering with our customers to modernize core technologies, mature data-driven capabilities, and improve user experience.

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