Artificial Intelligence Engineer

About MIGx

MIGx is a global consulting company with an exclusive focus on the healthcare and life science industries, with their particularly demanding requirements on quality and regulatory aspects. We have been managing challenges and solving problems for our clients in the areas of compliance, business processes and many others.

MIGx interdisciplinary teams from Switzerland, Spain and Georgia have been taking care of projects in the fields of M&A, Integration, Application, Data Platforms, Processes, IT management, Digital transformation, Managed Services and compliance.

The Opportunity

We’re looking for an AI Engineer to join our Data and AI Engineering team. This role is ideal for those who are passionate about turning the latest AI advances — particularly LLMs (Large Language Models) — into production-ready tools, applications, and platforms.

You’ll work on the front lines of applied AI, helping to develop intelligent systems, scalable infrastructure, and internal platforms that power the next generation of life sciences solutions.

Whether you're just getting started or bring years of hands-on experience, we welcome engineers who thrive in collaborative, exploratory, and engineering-focused environments.

What You’ll Do

• 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.

What We’re Looking For

We believe diverse perspectives and backgrounds lead to better ideas. Even if you don’t meet every requirement, we’d still love to hear from you.

Core Experience & Skills

Nice to Have

What we offer