Artificial Intelligence Engineer

MIGx AG

173d•Hybrid

About The Position

MIGx is a global consulting company focused on the healthcare and life science industries. We are seeking an AI Engineer to join our Data and AI Engineering team. This role involves developing production-ready AI tools, applications, and platforms, particularly those leveraging Large Language Models (LLMs). You will work on applied AI, creating intelligent systems and scalable infrastructure for life sciences solutions. We welcome engineers who thrive in collaborative, exploratory, and engineering-focused environments.

Requirements

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a closely related field.
Hands-on experience working with or deploying LLM-based systems (e.g., GPT, Claude, LLaMA, Mistral, etc.).
Proficiency in Python, with experience building services using FastAPI or similar frameworks.
Working with embeddings for text or document representation and semantic search.
Familiarity with vector databases (e.g., FAISS, Weaviate, Pinecone).
Understanding of AI infrastructure: versioning, tracking, and deployment with tools like MLflow.
Exposure to building production-grade APIs, services, or workflows in an agile, collaborative environment.
Awareness of AI ethics, responsible AI practices, and explainability concerns.
Team-first mindset and experience in agile environments (Scrum or Kanban).
Professional working proficiency in English (our internal and client-facing working language).

Nice To Haves

Experience with Docker and Kubernetes for containerization and orchestration.
Knowledge of prompt engineering, retrieval-augmented generation (RAG), or LangChain/LLamaIndex.
Experience with cloud-agnostic infrastructure or MLOps across Azure, AWS, or GCP.
Background in regulated industries (life sciences), especially GxP environments.
Familiarity with CI/CD pipelines and monitoring tools for AI workloads.
Experience integrating LLMs into real-world applications such as chatbots, document classifiers, or summarizers.
Spanish and/or Catalan language skills.

Responsibilities

Design, build, and deploy LLM-powered applications and internal tools for use cases such as document understanding, process automation, and knowledge retrieval.
Develop reusable AI infrastructure and platform components that support 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, or Pinecone) to support semantic search and information retrieval.
Build scalable APIs and services using FastAPI or similar frameworks.
Use tools like MLflow to manage model experimentation, versioning, and deployment.
Collaborate closely with Data Engineers and Backend Engineers to ensure smooth data access, secure service delivery, and continuous integration.
Apply good engineering practices around testing, observability, and CI/CD for AI components.
Support discussions on AI ethics, responsible usage, and explainability — especially for regulated use cases.
Contribute to architectural decisions, product discussions, and agile ceremonies.

Benefits

Hybrid work model
Flexible working schedule
25 holiday days per year
Possibilities of career development
Opportunity to shape the company future
Employee-centric culture
Different training programs to support your personal and professional development
Work in a fast growing, international company
Friendly atmosphere
Supportive Management team