Senior AI Engineer

Nabla; Paris; Sur place; EUR 80 000 - 130 000; Plein temps

Résumé du poste

Nabla is seeking an AI/ML Software Engineer to join a cross-functional squad, delivering high-impact AI features for clinicians and patients. You will own end-to-end development from design to deployment in a live healthcare setting.

You’ll work with Kotlin backend services, integrate OpenAI, Anthropic and other APIs, and contribute to agent orchestration frameworks that streamline clinical documentation and workflows.

Qualifications

• 3+ years writing production code.
• Proficient in one or more backend languages (e.g., Java, Kotlin, C++, Python).
• Built features using LLM provider APIs with prompting and evaluation.
• Turn fuzzy product requirements into working, testable pipelines.
• Passion for redefining workflows to improve patient care.
• Strong communication skills.
• Bonus: experience with multi-agent systems or orchestration frameworks.

Responsabilités

• Build agentic pipelines: chains of LLM-based agents that work together on clinical tasks.
• Go beyond ambient scribing to redefine clinicians’ workflows with AI.
• Integrate LLM provider APIs into production features.
• Design prompts and build evaluation frameworks to measure output quality and iterate.
• Write clean, production-grade code and own features end to end from design to deployment.
• Work closely with product managers to turn model capabilities into reliable, scalable product features.

Connaissances

Production code

Backend languages

LLM APIs

Agent orchestration

Clear communication

Description du poste

About Nabla

We are a team of entrepreneurs, clinicians and engineers committed to bringing back joy to the practice of medicine.

Together with a community of clinician innovators, we’ve harnessed the best of machine learning science to develop Nabla: the leading AI assistant that’s restoring the human connection at the heart of healthcare. By streamlining clinical documentation, Nabla is helping clinicians focus on what matters most - patient care. Today, over 100,000+ clinicians across 130+ healthcare organizations trust Nabla to support how they deliver care every day.

We’re at the start of an ambitious journey: Ambient listening, dictation, coding, and command capabilities are all converging into a proactive assistant that intuitively streamlines clinical and financial workflows.

Backed by a recent $70M Series C, we’re hiring to build the next generation of clinical AI and improve the lives of clinicians and patients everywhere.

This is a great time to join us!

The best of AI at the service of healthcare

Led by former Meta AI Research engineers, our team has consistently anticipated how AI can revolutionize healthcare delivery. Our Machine Learning team continually leverages the latest advancements to unlock AI’s full potential in healthcare.

Yann LeCun, Meta’s ex-Chief AI Scientist and Turing award winner, is an advisor to Nabla. He’s now focused on AMI Labs, with whom we have a close partnership.

Engineering at Nabla

Engineering at Nabla is lean, fast-moving, and deeply technical. Our teams span machine learning, native desktop applications, and platform infrastructure to deliver AI into clinical settings reliably and at scale.

Your Team

At Nabla, product development is led jointly by Engineering and Product, and organized into cross-functional squads, each focused on a specific product area. Squads bring together product managers, designers, engineers of different profiles, and domain experts, and operate with a high level of ownership.

As an AI Engineer, you’ll join one of these squads and contribute end to end to a specific part of the product.

What you’ll do

As an AI/ML Software Engineer, you’ll play a key role in redefining clinicians’ workflows, unlocking better care for patients, and ensuring Nabla remains at the forefront of AI innovation. You will take ownership of high-impact projects and contribute to the growth and maturity of our engineering team and product.

Within a team of experts who have built large-scale production systems at Meta, Google, and Microsoft, you will:

• 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.

To get a sense of the impact you’ll have:

• Nabla processes 30 0 billion tokens/month with LLMs.

• By the time you’ve read this posting, Nabla will have transcribed 100 new hours of live audio and generated 500 new clinical notes , saving 125 hours of doctor time.

Your DNA:

The ideal candidate will bring strong software engineering skills and a practical, hands-on approach to building with LLMs.

• You have 3+ years writing production code, with solid skills in software design, testing, and system architecture.

• You’re proficient in one or more widely used back-end languages (Java, Kotlin, C++, Python, etc.).

• You’ve built features or products using LLM provider APIs, including prompting and evaluation. You don’t need to have trained or fine-tuned models yourself.

• You can turn a fuzzy product requirement into a working, testable pipeline.

• You have a passion for going beyond the status quo to redefine workflows and unlock better care for patients.

• You communicate clearly and effectively.

• Bonus: Experience building multi-agent systems or agent orchestration frameworks is a strong plus.

Our Stack

• Kotlin for backend services

• LLM provider APIs (OpenAI, Google, Anthropic, and others) for the models themselves

• Agent orchestration frameworks for building chains of agents

• Prompt evaluation and testing tools to track