Artificial Intelligence Engineer -

MIGx; Sevilla; Híbrido; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

A global consulting company in Spain is seeking an AI Engineer to join their Data and AI Engineering team. The role involves designing LLM-powered applications and developing AI infrastructure. Candidates should have hands-on experience with LLM systems and proficiency in Python. The company offers hybrid work arrangements and a supportive culture.

Servicios

25 holiday days per year

Career development opportunities

Training programs for personal and professional growth

Formación

• Hands-on experience with or deployment of LLM-based systems (e.g., GPT, Claude, LLaMA, Mistral).
• Experience building production APIs and workflows in agile environments.
• Awareness of AI ethics, responsible AI, and explainability.

Responsabilidades

• Design, build, and deploy LLM-powered applications and tools.
• Develop reusable AI infrastructure and platform components.
• Collaborate with Data and Backend Engineers.

Conocimientos

Hands-on experience with LLM-based systems

Proficiency in Python

Experience with embeddings and semantic search

Team-oriented mindset

Professional proficiency in English

Herramientas

FastAPI

MLflow

Docker

Kubernetes

Descripción del empleo

About MIGx

MIGx is a global consulting company focused on the healthcare and life sciences industries, emphasizing quality and regulatory compliance. We manage challenges and solve problems for our clients in areas such as compliance and business processes.

• MIGx interdisciplinary teams from Switzerland, Spain, and Georgia handle projects in M&A, integration, application, data platforms, processes, IT management, digital transformation, managed services, and compliance.

The Opportunity

We’re seeking an AI Engineer to join our Data and AI Engineering team.

This role is perfect for those passionate about transforming the latest AI advancements—especially Large Language Models (LLMs)—into production-ready tools, applications, and platforms.

You will work at the forefront of applied AI, developing intelligent systems, scalable infrastructure, and internal platforms that support next-generation life sciences solutions.

Whether you're starting out or have extensive experience, we welcome engineers who enjoy collaboration, exploration, and engineering excellence.

What You’ll Do

• Design, build, and deploy LLM-powered applications and tools for document understanding, automation, and knowledge retrieval.
• Develop reusable AI infrastructure and platform components supporting application teams (e.g., retrieval-augmented generation, prompt management, model orchestration).
• Work with embeddings, vector stores, and similarity search to enable contextual AI responses.
• Integrate with vector databases (e.g., FAISS, Weaviate, Pinecone) for semantic search and information retrieval.
• Build scalable APIs and services using frameworks like FastAPI.
• Use tools like MLflow for model experimentation, versioning, and deployment.
• Collaborate with Data and Backend Engineers for data access, secure service delivery, and CI/CD processes.
• Apply best practices in testing, observability, and CI/CD for AI components.
• Participate in discussions on AI ethics, responsible use, and explainability, especially in regulated contexts.
• Contribute to architectural decisions, product discussions, and agile ceremonies.

What We’re Looking For

We value diverse perspectives. Even if you don't meet all criteria, we’d love to hear from you.

Core Skills & Experience

• Hands-on experience with or deployment of LLM-based systems (e.g., GPT, Claude, LLaMA, Mistral).
• Proficiency in Python and building services with FastAPI or similar frameworks.
• Experience with embeddings and semantic search.
• Familiarity with vector databases (FAISS, Weaviate, Pinecone).
• Understanding of AI infrastructure including versioning, tracking, deployment (MLflow).
• Experience building production APIs and workflows in agile environments.
• Awareness of AI ethics, responsible AI, and explainability.
• Team-oriented mindset with experience in agile methodologies (Scrum or Kanban).
• Professional proficiency in English.

Nice to Have

• Experience with Docker and Kubernetes.
• Knowledge of prompt engineering, RAG, LangChain, LLamaIndex.
• Experience with cloud platforms (Azure, AWS, GCP) and MLOps.
• Background in regulated industries, especially GxP environments.
• Familiarity with CI/CD pipelines and monitoring tools for AI.
• Experience integrating LLMs into applications like chatbots or summarizers.
• Spanish and/or Catalan language skills.

What We Offer

• Hybrid work model and flexible schedule.
• 25 holiday days per year.
• Career development opportunities and influence on company future.
• Employee-centric culture with active feedback and participation.
• Training programs for personal and professional growth.
• Work in a fast-growing, international company with a friendly atmosphere and supportive management.

Original job posting can be found on Kit Empleo: Https

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