AI Engineer (Medtech)

TL;DR

AI Engineer (Medtech): Designing and building LLM-based conversational systems used by real patients with an accent on prompt iteration, semantic retrieval, and AI quality monitoring. Focus on building features end-to-end and improving AI reliability and safety based on real usage.

Location: Must be based in or be able to relocate to Munich or Boston.

Company

Neru Health uses Conversational AI to help patients start and stick with treatment, beginning with sleep care and diabetes.

What you will do

• Own AI-powered features end-to-end, from early prototypes to production.
• Build and maintain evaluation frameworks for prompt iteration and semantic retrieval.
• Design and build LLM-based conversational systems used by real patients.
• Work closely with users and clinicians to understand their problems and design AI solutions.
• Monitor, debug, and improve AI quality, reliability, and safety over time.
• Iterate quickly on prompts, models, and system design based on real usage.

Requirements

• Engineering experience in tech and product-driven environments.
• Shipping multi-provider LLM-based solutions to production (using e.g. OpenAI, Anthropic, Google, etc.).
• Strong software engineer who moved deep into LLM-based systems.
• Proficiency with LLM infra platforms (prompt management, logging/tracing, evals).
• Experience designing and building conversational AI systems (voice, chat).
• Comfortable building features end-to-end (Python; frontend experience is a plus).

Nice to have

• Experience with healthcare, digital health, or regulated environments.
• Experience with Voice AI / Conversational AI tech.
• Passion for sleep science, digital health, or behavioral change.

Culture & Benefits

• Competitive salary and meaningful equity.
• Direct mentorship and collaboration with senior advisors from Netflix Games, Google AI, Harvard Medical School.
• A lean, global team with offices in Munich Urban Colab.