Senior AI Engineer
Hippocratic AIResponsibilities
- Design, build, and optimize production AI pipelines for voice-based generative healthcare agents, including RAG and multi-step reasoning systems.
- Partner with product, clinical, AI research, and engineering teams to translate healthcare workflows into safe, scalable, human-centered AI experiences.
- Prototype and deploy zero-to-one features using LLMs, retrieval systems, and streaming architectures.
- Develop AI-native workflows for real-time, conversational, and long-running interactions across healthcare contexts.
- Improve model evaluation, safety testing, and observability to ensure interactions meet clinical safety standards.
Requirements
- At least 3 years of professional experience in software, ML, or AI engineering.
- Proven experience building and shipping AI- or ML-powered products in production.
- Strong Python programming skills and experience with distributed systems, APIs, and data pipelines.
- Deep understanding of prompt engineering, vector databases, and retrieval systems such as RAG, with experience in voice agents or willingness to learn rapidly.
- Experience with AWS, GCP, or Azure and modern DevOps practices including Terraform, CI/CD, and monitoring.
- Experience building or deploying LLM-based or multi-agent systems at scale is preferred.
- Hands-on experience with speech recognition, text-to-speech, or streaming architectures is preferred.
- Exposure to healthcare, safety-critical domains, or regulated product development is preferred.
- Strong communication, cross-functional collaboration, and ability to work quickly in high-impact domains.
Benefits
- Palo Alto office five days per week to support collaboration and team culture.
- Opportunity to work on clinically safe, voice-enabled generative AI systems in healthcare.
- Cross-functional collaboration with AI researchers, product managers, engineers, and clinical experts.
Categories
About Hippocratic AI
Hippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health. The company was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA. Hippocratic AI has received a total of $278 million in funding and is backed by leading investors, including Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems. For more information on Hippocratic AI, www.HippocraticAI.com. Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information. If anything appears suspicious, stop engaging immediately and report the incident.