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Our client is a pioneering HealthTech scale-up developing a first-of-its-kind AI assistant designed by clinicians, for clinicians. They are tackling one of the most urgent global challenges: the critical shortage of healthcare professionals. By building a controllable and highly customizable ‘AI brain,’ they provide real-time, reliable support across the entire care continuum. This is a chance to work on a product where your code directly alleviates the burden on frontline medical staff. As AI Engineer, you will own and evolve the core “brain” service of this company platform. This is not about building simple wrappers; you will architect sophisticated multi-agent systems that reason and communicate in real-time via voice and text. You will tackle high-stakes challenges in low-latency streaming, autonomous orchestration, and continuous evaluation, shipping fast-moving Python services at the intersection of cutting-edge AI and human-centric health technology.
Job Responsibility
Lead the end-to-end architecture and evolution of the 'core brain' service, taking full responsibility for SLAs, latency budgets, and deployment strategies
Design and operate low-latency communication systems featuring streaming voice/text, Voice Activity Detection (VAD), and complex interaction handling (barge-in, turn-taking, and interruptions)
Build sophisticated multi-agent systems using planner–executor–critic patterns, shared memory, and advanced coordination protocols
Implement and refine complex reasoning frameworks, including ReAct and Chain-of-Thought (CoT), as well as Tree/Graph-of-Thought architectures where applicable
Leverage programmatic optimization tools (such as DSPy, MiPRO, or GEPA) to compile and evolve prompts iteratively under strict evaluation constraints
Develop robust Retrieval-Augmented Generation (RAG) pipelines focusing on high-signal retrieval, hybrid search, re-ranking, and query rewriting to ensure grounded and faithful AI responses
Architect a comprehensive evaluation framework—from pre-call safety checks to post-call automated evals (hallucination detection, red-teaming)—using OpenTelemetry and structured logging to monitor drift and performance in real-time
Ship high-quality, production-ready Python services using FastAPI, ensuring high performance and continuous integration/deployment (CI/CD) gates
Requirements
Extensive experience with Python, FastAPI, Pydantic, and asyncio for high-performance service development
Proven track record with Multi-agent systems, Vector Stores, and advanced RAG architectures
Proficiency in Docker, Kubernetes (K8s), and Terraform for scalable deployments
Familiarity with STT/TTS (Speech-to-Text/Text-to-Speech) and monitoring via OpenTelemetry (OTEL)
Full Professional Level of English
Nice to have
Hands-on experience with WebRTC stacks, LiveKit, and SIP gateways
Deep dive into DeepEval or similar LLM-as-a-judge frameworks
Experience using DSPy for automated prompt compilation and self-improving workflows
What we offer
Permanent contract with a long-term vision and deep investment in your professional journey
Build cutting-edge, real-time agent technology within a best-in-class HealthTech team where your code has a direct impact on global healthcare
Join a highly motivating atmosphere that fosters continuous learning, peer-to-peer mentorship, and the freedom to experiment with the latest AI breakthroughs
Truly flexible work-life integration with Remote-first or Hybrid options in our Barcelona hub
Engaging team-building events and fun off-sites in Barcelona to connect with a diverse, international team
High-tech laptop of your choice and a budget for solid dev ergonomics to ensure your workspace is optimized for peak performance
Access to the latest tools, research papers, and internal knowledge-sharing sessions on the frontier of Multi-agent systems and LLMs