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Nabla is an AI-powered clinical documentation assistant trusted by over 100,000 clinicians across 130+ healthcare organizations. The company is backed by a recent $70M Series C and is led by former Meta AI Research engineers, with Yann LeCun (Meta's ex-Chief AI Scientist and Turing award winner) serving as an advisor.
You will join a cross-functional squad focused on redefining clinicians' workflows through AI. As an AI/ML Software Engineer, you'll take ownership of high-impact projects and contribute end-to-end to specific product areas. The team operates with a lean, fast-moving, deeply technical approach, spanning machine learning, native desktop applications, and platform infrastructure.
Key responsibilities:
- Build agentic pipelines: chains of LLM-based agents that work together on complex clinical documentation tasks
- Go beyond ambient scribing to fully redefine clinicians' workflows with AI, unlocking transformative efficiencies and improved patient care
- Integrate LLM provider APIs (OpenAI, Anthropic, Google, and others) into production features
- Design prompts and build evaluation frameworks to measure and improve output quality, then iterate quickly based on results
- Write clean, production-grade code and own your features end-to-end, from design to deployment and monitoring in a live healthcare setting
- Work closely with product managers to turn model capabilities into reliable, scalable product features
Context: Nabla processes 300 billion tokens/month with LLMs. The platform transcribes new hours of live audio and generates clinical notes daily, saving significant doctor time.
Tech stack: Kotlin for backend services, LLM provider APIs, agent orchestration frameworks, prompt evaluation and testing tools, Google Cloud & Kubernetes for deployment.
Remote policy: 1-2 days per week in the Paris office (Arts & Métiers, 3e arrondissement), with flexibility and possibility of working remotely 1-2 weeks per year.
Qualifications:
- 3+ years writing production code, with solid skills in software design, testing, and system architecture
- Proficiency in one or more widely used back-end languages (Java, Kotlin, C++, Python, etc.)
- Experience building features or products using LLM provider APIs, including prompting and evaluation (no need to have trained or fine-tuned models yourself)
- Ability to turn a fuzzy product requirement into a working, testable pipeline
- Passion for going beyond the status quo to redefine workflows and unlock better care for patients
- Clear and effective communication skills
- Bonus: Experience building multi-agent systems or agent orchestration frameworks
About Nabla
Healthcare / Life Sciences; AI / Data / Infrastructure — AI assistant for clinical documentation and patient encounters.
