AI Platform Developer (Java/Python - HealthTech)

AI Platform Developer | AI HealthTech | Global Leader | Berlin (Hybrid)

AI Futures have been exclusively retained to appoint an AI Platform Developer for one of Europe’s leading HealthTech pioneers, renowned for its global dominance in e-health solutions and sustained growth over nearly four decades. Their innovative platform empowers millions of medical professionals across 60 countries, driving efficiency and interoperability in healthcare delivery.

This is a rare opportunity to join a very profitable, scaling business who are investing heavily in data infrastructure, analytics, and AI to power its next phase of growth.

In this role, you will architect and deploy cutting-edge AI platforms to revolutionise healthcare data management. Through close collaboration with the Berlin-based technology leadership team, you’ll build scalable, LLM-powered microservices using Java, Python, and Azure AI, enabling seamless integration of intelligent systems for global healthcare providers.

Ultimately, your contributions will shape the future of HealthTech!

You must speak a basic level of German for this position (A2/B1+).

Hybrid: 2 days/week in office.

The fixed salary is up to €90k.

The role:

• Develop and maintain a scalable Agent Mesh based on microservices, ensuring robust, multi-tenant, and secure AI platforms for healthcare applications.
• Orchestrate agentic systems using frameworks like LangChain or Semantic Kernel, integrating Foundation Models such as Azure OpenAI or Mistral for advanced functionality.
• Design intelligent backend components for Retrieval-Augmented Generation (RAG), context management, and agentic collaboration to enhance healthcare interoperability.
• Build and optimise pipelines for prompt engineering, inference control, and usage analytics to ensure high-performance AI solutions.
• Collaborate with frontend, UX, and infrastructure teams to deliver end-to-end AI platforms, driving operational efficiency and user impact.

The Candidate:

• Technical Expertise: 3+ years of experience in Java (Spring, Quarkus) and ideally Python (LangChain, FastAPI, AsyncIO), with a focus on LLM-supported microservice architectures.
• AI Platform Development: Proven experience building agentic applications, leveraging vector databases (e.g., Qdrant, Pinecone) and RAG approaches.
• Cloud Proficiency: Strong knowledge of Azure AI/ML or similar platforms (AWS, GCP), with expertise in CI/CD and data integration for AI systems.
• Scalability & Security: Deep understanding of scaling, multi-tenancy, and security requirements in AI platforms, ideally within regulated industries like healthcare.

AI Futures Ltd | Filling the AI Skills Gap ®