As a Platform Engineer - AI (f/m/x) at Temedica, you’ll focus on quickly delivering agentic and AI-powered systems. You’ll prototype fast, move ideas into production, and turn the most valuable parts into simple, reusable components. By collaborating closely with product and data stakeholders, you’ll accelerate innovation across the company and enable fast iteration that leads to meaningful impact for patients and partners.
You design, prototype, and productionalize agentic and AI-driven systems using agentic or related LLM frameworks while collaborating closely with product and data teams to evolve successful prototypes into simple, reusable components.
You develop and maintain cloud infrastructure on GCP that supports modern applications and AI workloads by using Infrastructure-as-Code, CI/CD pipelines, and basic observability to ensure a reliable and predictable environment.
You take part in general cloud engineering tasks when needed, improving service reliability, scaling systems, and ensuring smooth and secure deployments.
You bring a pragmatic, builder-oriented mindset and prioritize delivering value quickly over creating complex abstractions.
Strong software engineering skills (Python, TypeScript, or similar), with experience building and maintaining production systems.
Hands-on experience with agentic or LLM application frameworks (e.g., LangChain, LangGraph, or similar), including practical use of agentic concepts such as tool use, memory, orchestration, or task planning in real prototypes or internal tools.
Practical cloud experience, ideally with GCP (Compute, IAM, networking, storage) with Infrastructure-as-Code (Terraform or similar).
Familiarity with modern CI/CD workflows, automation, and Git-based development practices.
A pragmatic, impact-driven mindset: you focus on delivering value fast and iterating with feedback.
Understanding of observability fundamentals (metrics, logs, traces).
Experience working in healthcare or other regulated domains.