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4 дня назад

Data Scientist – Agentic AI

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist – Agentic AI (Generative AI/LLMs): Designing and deploying machine learning, generative AI, and agentic AI solutions for complex enterprise challenges with an accent on LLM applications, retrieval-augmented generation, intelligent agents, and responsible AI. Focus on building multi-agent workflows, evaluating model and agent reliability, and taking AI systems from experimentation through production with MLOps, LLMOps, and AgentOps practices.

Location: In person in Madrid, Barcelona, or Granada, Spain

Company

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

What you will do

  • Translate client and business needs into machine learning, generative AI, and agentic AI solutions.
  • Design and develop LLM applications using embeddings, retrieval-augmented generation, prompt engineering, and model adaptation.
  • Build, train, evaluate, deploy, and monitor predictive, analytical, deep learning, and agentic AI systems.
  • Develop intelligent agents and multi-agent systems that reason, plan, use tools and enterprise systems, and execute complex workflows with human oversight.
  • Establish evaluation, observability, MLOps, LLMOps, and AgentOps practices for reliable, scalable, and maintainable AI solutions.
  • Collaborate with architects, engineers, domain experts, clients, and stakeholders while contributing technical leadership and supporting junior practitioners.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, Engineering, or a related technical field, combined with solid professional experience in Data Science, Machine Learning, or AI development.
  • Proven experience designing, developing, and evaluating machine learning models, including statistical methods, supervised and unsupervised learning, and deep learning.
  • Hands-on experience with large language models, prompt engineering, embeddings, retrieval-augmented generation, and their capabilities, limitations, and evaluation.
  • Practical knowledge of AI agents and agentic architectures, including tool integration, orchestration, reasoning workflows, and agentic development frameworks.
  • Strong proficiency in Python and relevant Data Science and AI libraries such as Scikit-learn, PyTorch, TensorFlow, Hugging Face, or equivalent technologies.
  • Experience across data preparation, experimentation, model evaluation, deployment, and monitoring, with familiarity with MLOps, LLMOps, and AgentOps.
  • Strong analytical and problem-solving skills, including translating business challenges into technical AI solutions.
  • Ability to work independently and collaboratively in multidisciplinary teams and communicate technical concepts effectively with business and technical stakeholders.

Nice to have

  • Experience with complex agentic workflows or multi-agent systems using LangGraph, AutoGen, CrewAI, or equivalent technologies.
  • Familiarity with agent observability, tracing, evaluation frameworks, LLM-as-a-Judge approaches, and tools such as Langfuse, LangSmith, RAGAS, or DeepEval.
  • Experience with LLM fine-tuning, model optimization, advanced RAG architectures, or open-source foundation models.
  • Experience with Azure AI, AWS, or Google Cloud AI/ML services and relevant certifications.
  • Experience deploying enterprise AI applications using APIs, containerization, microservices, CI/CD pipelines, and scalable architectures.
  • Knowledge of AI governance, model explainability, security, privacy, and responsible AI practices.
  • Experience with enterprise AI projects, digital transformation, automation, or AI-powered business solutions.
  • Master’s degree, PhD, scientific publications, open-source contributions, or active participation in technical and research communities.

Culture & Benefits

  • In-person work in Spain with a supportive, inclusive culture focused on belonging, empathy, and shared success.
  • Be Well programs supporting financial, mental, physical, and social health.
  • Career development through personalized goals, continuous feedback, coaching, hands-on experience, and learning opportunities.
  • Access to certifications and training involving Microsoft, Google, and Amazon technologies.

Hiring process

  • If applying through an employee referral, select “Employee Referral” for “How Did You Hear About Us” and enter the referring contact’s hirify.global email address.

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