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Generative AI / LLM Engineer

Oesía Group

A distancia

EUR 60.000 - 80.000

Jornada completa

Hoy
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Descripción de la vacante

A leading tech firm in Spain is seeking a Generative AI / LLM Engineer to contribute to innovative projects. Responsibilities include designing and optimizing systems based on LLMs, developing RAG pipelines, and mentoring junior team members. Candidates should possess a degree in Computer Engineering and at least four years of experience in AI, with expertise in frameworks like LangChain and cloud integrations. Join a recognized multinational company known for its stable and innovative projects.

Servicios

Stable and innovative technological projects
Career plan for personal growth
Flexible compensation
Training platforms access
Healthy work environment

Formación

  • Four years of experience in AI, focusing on LLMs and/or Generative AI.
  • Hands-on experience with frameworks and libraries such as LangChain, LlamaIndex.
  • Experience with RAG: embeddings, vector databases, strategic chunking.

Responsabilidades

  • Design, develop, and optimize systems based on LLMs and Generative AI.
  • Build RAG pipelines and advanced retrieval strategies.
  • Develop and integrate autonomous agents managing tools and workflows.

Conocimientos

Hands-on experience with frameworks and libraries such as LangChain, LlamaIndex
Proficiency in Python
Experience integrating with cloud providers (OpenAI, Google, AWS, Azure, Meta)
Deep knowledge of techniques like prompt engineering and LLM evaluation
Experience with RAG and advanced retrieval

Educación

University degree in Computer Engineering, Telecommunications or related field
Descripción del empleo

¡At Oesia Group, we are growing! We would like to count on you for our next job offer:
We are looking fora Generative AI / LLM Engineer to join an important Project located in Madridin Remote job modality.

Requirements:
  • University degree in Computer Engineering, Telecommunications, or in the field of science or technology.
  • Four years of experience in the field of AI, with a focus on LLMs and/or Generative AI over the last two to three years.
  • Hands‑on experience with frameworks and libraries such as LangChain, LlamaIndex, or similar.
  • Experience with RAG: embeddings, vector databases, strategic chunking, and advanced retrieval.
  • Proficiency in Python, APIs, and production environments.
    Experience integrating with cloud providers and models (OpenAI, Google, AWS, Azure, Meta, etc.).
  • Deep knowledge of techniques such as advanced prompt engineering, fine‑tuning, LoRA/QLoRA, and LLM evaluation and safety.
  • Experience in designing and evaluating architectures for LLMs in production.
What will your responsibilities be?
  • Design, development, and optimization of systems based on LLMs and Generative AI.
  • Building RAG pipelines, semantic indexing, and advanced retrieval strategies.
  • Design of reasoning chains and complex conversational flows.
  • Development and integration of autonomous agents / Agentic AI, managing tools, memory, orchestration, and workflows.
  • Fine‑tuning, advanced prompting, and implementation of alignment techniques and model personalization.
  • Integration with APIs, cloud services, and the MLOps ecosystem for generative models.
  • Model evaluation, definition of metrics, and continuous performance improvement.
  • Applied research on new architectures, open‑source models, and emerging techniques.
  • Mentoring junior profiles and close collaboration with business teams to define solutions.
What we offer you?
  • Work in a multinational company recognized as one of the best companies to work for in 2025, according to Actualidad Económica and Forbes.
  • Stable and innovative technological projects for leading national and international clients.
  • Career plan: we offer an attractive professional career based on experience and personal potential within a continuously evolving company with solid growth.
  • Free access to various training platforms, providing you with a wide multidisciplinary catalog.
  • Flexible compensation.
  • An equal, diverse company with great Corporate Social Responsibility.
  • A positive, healthy, and cooperative work environment. Teamwork is the cornerstone of the company's project successes.
Have you heard of us?

With over 3.800 professionals in 20 corporate offices across Spain, Brussels, Latin America, and Asia, it generates quality employment and helps people grow in technical careers.

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