Role overview
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.
What you'll work on
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
- 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.
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Ai Ai Engineer Generative Ai