Jobs

Lead AI Engineer (Hands-on) with GenAI & Azure experience

Meet your Recruiter!

Carolina March
  • English
  • Spanish

Our client is a global leader in industrial engineering and supply chain productivity solutionsFollowing highly successful internal AI initiatives that have already proven massive operational value , they are ready to accelerate their transformation and scale their internal AI capabilities.  

They are looking for a highly hands-on Lead AI Engineer to design, build and deploy production-ready AI applications that solve complex business challenges at global scale. This is a role, where you will spend most of your time developing AI solutions, collaborating closely with Data Engineering teams, and taking GenAI use cases from Proof of Concept through to production.

A core part of your mission will be establishing an internal center of excellence, fostering a culture of innovation, and reducing reliance on external vendors.

100% Remote from anywhere in Spain, or a flexible hybrid model if you are based in Barcelona.

  • Full Professional Level of English
Spain Remote
  • Design and Build AI Solutions: Design, develop and deploy production-ready AI applications using Generative AI, Azure OpenAI, RAG and intelligent automation.
  • Seamless Enterprise Integration: Connect AI systems smoothly into core corporate data platforms, everyday business applications, and operational workflows.
  • Hands-on Development: Write production-quality Python code, build APIs, implement RAG pipelines, and take AI solutions from PoC to production.
  • Industrialize Use Cases at Scale: Productionalize AI applications across global business units with a relentless focus on high performance, maximum reliability, and long-term scalability.
  • Cross-Functional Collaboration: Partner closely with data engineering, Business Intelligence (BI), and cross-functional business teams to ship unified solutions.
  • Maximize Business Impact & ROI: Translate complex corporate requirements into high-efficiency AI tools, defining clear KPIs to monitor cost impact, adoption metrics, and concrete ROI.
  • Provide Technology Leadership: Constantly evaluate and adopt the latest breakthroughs (LLMs, copilots, advanced automation tools), while establishing internal reference standards and acting as a strategic technical advisor.
  • Share knowledge, mentor other engineers and contribute to establishing AI engineering best practices across the organization.
  • Work closely with Data Engineering: Collaborate with Data Engineers responsible for the data platform while owning the AI application layer.
  • Hands-on AI Engineering: You are still actively building AI applications every day and enjoy writing production-quality code. This is not a people management role.
  • Generative AI & LLM Mastery: Practical experience working with premier Large Language Models (e.g., GPT, Claude) and advanced prompt engineering.
  • RAG Architecture Design: Strong expertise designing Retrieval-Augmented Generation (RAG) frameworks, including embeddings, vector search, and structured document processing.
  • Python Mastery & Frameworks: Expert-level Python development with experience building production APIs and AI applications.
  • Data Platforms & Integration: A solid understanding of data lake / lakehouse platforms alongside hands-on capability in API-based system integration to embed AI within ERP and CRM ecosystems.
  • Cloud Infrastructure (Azure-Centric): Proven experience building and deploying production AI solutions using Azure OpenAI, Azure AI Search, Azure Functions and App Services.
  • MLOps / LLMOps Lifecycle: Proven background deploying and maintaining AI systems in live environments, including the proactive monitoring of runtime quality, performance baselines, and underlying infrastructure costs.
  • Security, Governance & Compliance: A baseline fluency in data security protocols, Role-Based Access Control (RBAC), AI governance frameworks, and international regulatory shifts such as the EU AI Act.
  • Contract Type: Permanent, full-time employment contract.

  • Working Modality: 100% remote work from anywhere in Spain, or a flexible hybrid model if based in Barcelona (requiring 2 days per month in the office).

  • Project Scope: Direct involvement in strategic, enterprise-level AI and technology initiatives.

  • Work Environment: A multicultural, international, and collaborative team culture.

  • Professional Growth: Clear opportunities for career progression and ongoing technical development.

  • Step 1: Interview with our Recruiter to get to know you better
  • Step 2: Screening with Hiring Manager
  • Step 3: Tech Interview
  • Step 4: Final Interview


At Babel Profiles, we believe in talent beyond labels. This opportunity is open to all qualified candidates, and we are committed to ensuring equal opportunities regardless of gender identity, background, or origin.

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