Empresa:

emagine

Descrição da Função

Our client is leading company in the field of software solutions for healthcare, you will work in a dynamic and innovative environment full of opportunities. With your commitment and passion, you have the chance to make a lasting difference.

Together, we are shaping the healthcare system of the future. Become part of our mission and make a difference-for a world where knowledge saves lives!

Your Impact

• Development and operation of a microservice-based agent mesh - highly scalable, multi-tenant, and secure by design.
• Orchestration of agentic systems and multi-agent architectures with frameworks such as LangChain, CrewAI, or Semantic Kernel.
• Integration and productive deployment of foundation models (e.g., OpenAI, Azure OpenAI, Hugging Face, Mistral).
• Design and implementation of intelligent backend components for context management, Retrieval-Augmented Generation (RAG), memory, tool use, and agentic collaboration.
• Building pipelines for prompt optimization, inference control, and usage analytics.
• Close collaboration with frontend, UX, and infrastructure teams to bring AI solutions into end-to-end production.

Your Profile

• Degree in Computer Science, Artificial Intelligence, Data Science, or a comparable discipline.
• Hands-on experience in developing LLM-powered agentic applications with a strong focus on microservice architectures.
• Deep expertise in Python (LangChain, FastAPI, AsyncIO, Pydantic), as well as in working with model APIs, data integration, and CI/CD.
• Experience with Azure AI, Azure ML, or comparable cloud stacks (GCP, AWS is a plus).
• Knowledge of vector databases (e.g., Qdrant, Weaviate, Pinecone, FAISS) and the application of embedding models for RAG approaches.
• Solid understanding of scalability, multi-tenancy, and security requirements in the productive operation of AI systems.

Observações

Not Specified (Portugal)