aipythondata engineeringpandascloudragmachine learningdistributed systemssparkagentic ai
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Вакансия сочетает практическую разработку AI-решений, их внедрение в production и работу с заказчиками; обязанности и обучение описаны понятно, но поездки и работа на площадках клиентов могут быть существенным компромиссом.
Поездки к заказчикам
Понятная роль
Современный AI-стек
Поддержка развития
Развитие в AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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