1. Salary: €80K – €150K
2. Industry: Health-Tech / AI
3. Location: Remote-First (Europe) with a hub in Barcelona
4. Stack: Python, FastAPI, LiveKit, RAG, GCP, Multi-agent LLMs
The Company
You will be joining a high-growth Health-Technology venture based in Barcelona that has just hit a major inflection point. They are the innovators behind a cutting-edge AI assistant that acts as a digital partner for clinical teams, recently going live with major health systems across Europe.
They are scaling rapidly to meet significant healthcare contracts, moving from MVP to large-scale production. This is an international team of clinical experts and elite engineers who believe AI should solve mission-critical medical problems in real-time. If you want to build the technical foundation of a future leader in healthcare AI, this is your moment.
The Role
As a AI Engineer, you will take end-to-end ownership of the "brain" service that powers their entire platform. They are looking for a heavy-hitter to design and operate multi-agent systems that are safe, compliant, and ultra-fast.
In this high-autonomy role, you will collaborate directly with a tight-knit 3-person AI team to solve some of the hardest challenges in the industry: real-time voice AI and safety-critical systems in a highly regulated environment.
Your Responsibilities
5. Scale the AI "Brain": Own the architecture and production deployment of AI systems as they scale to meet major enterprise healthcare contracts.
6. Master Real-Time Voice: Engineer low-latency streaming audio systems, ensuring the AI can "listen" and respond with human-like speed and accuracy.
7. Orchestrate Multi-Agent Systems: Build and manage complex agent architectures and RAG pipelines that are already proven in production.
8. Prompt Engineering at Scale: Lead the evolution of LLM fine-tuning and programmatic prompt optimization to maintain medical-grade quality.
9. Software Excellence: Apply strong software engineering fundamentals to ensure the AI is not just "smart," but robust, scalable, and compliant.
What You Need
10. Experience: 6–7+ years in ML/AI with a proven track record of taking AI products from 0 (MVP) to 1 (Production).
11. Startup DNA: You thrive in high-intensity environments and have a background in fast-moving tech startups.
12. Technical Depth: Expert-level Python and deep experience with RAG, multi-agent systems, and low-latency streaming/voice AI (LiveKit, WebRTC).
13. Industry Savvy: Experience in healthcare AI or other highly regulated/compliant industries is a massive plus.
14. Autonomy: You are a self-starter who excels with minimal supervision—moving easily between ML research and production-grade software.
What’s in it for You?
15. Meaningful Impact: You aren't just building a chatbot; you are building safety-critical systems that improve how healthcare is delivered.
16. High-Level Ownership: As an early hire, you will shape the technical foundation of the company and tackle genuinely difficult engineering hurdles.
17. Flexible Setup: They offer a European remote-first model, with occasional visits to their vibrant office in Barcelona.
18. Direct Collaboration: Work alongside a best-in-class AI team and clinical experts in a flat, high-energy hierarchy.