AI Engineer (Senior, Staff, Senior Staff, Principal)
Hippocratic AI3 months ago
Menlo Park, CA, USASenior / Staff+
H1B sponsor
Responsibilities
- Design and build scalable AI pipelines, RAG systems, multi-step reasoning workflows, and streaming interactions for voice-based healthcare agents.
- Translate healthcare workflows into safe, scalable, and human-centered AI experiences with product, clinical, and engineering teams.
- Prototype and deploy zero-to-one features using LLMs, retrieval systems, and streaming architectures.
- Develop real-time and long-running conversational workflows that handle edge cases and failure modes gracefully.
- Improve model evaluation, safety testing, observability, measurement, and monitoring infrastructure for clinical safety.
- Contribute to technical documentation, knowledge sharing, collaboration, and engineering standards.
Requirements
- Bachelor of Science in Computer Science or equivalent.
- 5+ years of professional experience in software, ML, or AI engineering.
- Track record of 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.
- Experience with cloud environments and modern DevOps practices, including Terraform, CI/CD, and monitoring.
- Experience building or deploying LLM-based or multi-agent systems at scale is preferred.
- Experience with speech recognition, text-to-speech, or streaming architectures is preferred.
- Exposure to healthcare, safety-critical domains, or regulated product development is preferred.
Benefits
- Competitive compensation packages based on experience, expertise, and level of responsibility.
- Equity, health insurance, and other benefits.
- Menlo Park, California office location with an expectation of working onsite five days per week.
Categories
About Hippocratic AI
Hippocratic AI builds a safety-focused large language model and AI agents for healthcare workflows, used by health systems for patient outreach, post-discharge follow-up, and chronic-care management. It licenses its platform and tools to providers to automate and scale clinical support tasks while meeting health-system requirements. Founded in 2023 and headquartered in Palo Alto, the company is privately held.