Senior Staff AI Engineer
Hippocratic AIResponsibilities
- Define the multi-year technical strategy and architectural roadmap for RAG, multi-agent systems, real-time voice, evaluation, and safety.
- Architect foundational platforms and systems used across multiple products, teams, and partners.
- Partner with executive, product, and clinical leadership to translate long-range healthcare goals into technical priorities.
- Represent engineering in board-level, partner, and regulatory conversations and drive zero-to-one and one-to-n initiatives.
- Own company-wide safety and evaluation standards, gates, and measurement systems for agents, deployments, and model changes.
- Mentor Staff and Senior engineers and help shape hiring and leveling.
- Represent Hippocratic AI through publications, conference talks, partner engagements, and healthcare AI community activities.
Requirements
- 10+ years of professional experience in software, ML, or AI engineering.
- Proven track record building and shipping AI- or ML-powered products in production environments.
- Strong Python programming skills and experience with distributed systems, APIs, and data pipelines.
- Deep understanding of prompt engineering, vector databases, and retrieval systems (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.
- Excellent communication, cross-functional collaboration, and ability to move quickly in high-impact domains.
- 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 for real-time AI experiences is preferred.
- Exposure to healthcare, safety-critical domains, or regulated product development is preferred.
Benefits
- Palo Alto office attendance five days per week is expected.
- Opportunity to shape healthcare-focused generative AI and clinically safe voice-enabled systems.
- Work alongside healthcare, AI, research, product, and clinical experts.
- Represent the company through publications, conference talks, partner engagements, and healthcare AI community activities.
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.