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4 дня назад

FDE - Lead Data Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
FDE - Lead Data Engineer (AI): Designing, deploying, and optimizing production-ready AI solutions for enterprise customers with an accent on agentic AI, cloud platforms, and distributed systems. Focus on rapid prototyping, end-to-end delivery, RAG architectures, multi-agent orchestration, and improving system performance, scalability, and security.

Location: Madrid, Spain; partially remote with customer-premises work and travel as required

Company

hirify.global runs and reimagines mission-critical technology systems for leading businesses, using AI-powered insight to support smarter decisions and innovation.

What you will do

  • Partner with customers to understand business challenges and translate them into fit-for-purpose technical solutions.
  • Rapidly prototype custom AI solutions using agentic AI frameworks.
  • Own delivery workstreams from scoping through production deployment, working directly within customer environments.
  • Troubleshoot and optimize AI systems for performance, scalability, reliability, and adoption.
  • Document deployment learnings, share best practices, and contribute feedback and code to hirify.global AI platforms and product teams.
  • Continue developing expertise as technologies and customer requirements evolve.

Requirements

  • Demonstrable programming expertise in Python or another modern language such as C#, Node.js, or TypeScript.
  • Solid understanding of the software delivery lifecycle, version control with Git and GitHub, and data engineering tools including Pandas and Spark.
  • Experience with cloud AI platforms such as AWS, Azure, or Google AI, and with distributed computing architectures.
  • Ability to translate business requirements into technical solutions and communicate technical value to diverse stakeholders, including executives.
  • Degree-level qualification in Computer Science, Informatics, Data Science, Engineering, or a closely related discipline, or equivalent professional experience.
  • Willingness to travel and work on customer premises as required.

Nice to have

  • Experience with AI/ML frameworks such as TensorFlow or PyTorch.
  • Familiarity with open-source AI tools and libraries, including Hugging Face and relevant repositories.
  • Deep expertise in one or two technical domains with broad understanding across AI/ML, cloud, and consulting.
  • Experience designing, building, or integrating multi-agent systems and orchestration frameworks such as LangGraph, Semantic Kernel, Agent Framework, AutoGen, or CrewAI, including agent protocols and coordination mechanisms.
  • Practical knowledge of deploying retrieval-augmented generation architectures and integrating structured and unstructured knowledge sources.
  • Knowledge of system-level optimization and security practices for scalable AI systems.

Culture & Benefits

  • Flexible, supportive, hybrid-friendly work environment focused on belonging, empathy, inclusion, and shared success.
  • Be Well programs supporting financial, mental, physical, and social health.
  • Personalized career development, continuous feedback, coaching, and hands-on learning opportunities.
  • Access to certification and learning programs involving Microsoft, Google, and Amazon.

Hiring process

  • If referred by a hirify.global employee, select “Employee Referral” during the application and enter the referrer’s hirify.global email address.

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