Hippocratic AI

About the Company

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.

Listed Jobs

Company Name

Hippocratic AI

Job Title

Agent Deployment Engineer (Residency Program)

Job Description

Job Title: Agent Deployment Engineer (Residency Program) Role Summary: Junior engineer in a 3‑month residency focused on building and tuning a conversation layer for safe, autonomous clinical dialogue powered by large language models. Expactations: - Complete residency term and demonstrate ability to extend or transition to full‑time role. - Deliver reliable, clinically safe agentic workflows within an iterative development cycle. Key Responsibilities: - Design, implement, and iterate prompting strategies within the conversation planning layer. - Partner with Product, Engineering, Model, and Deployment Architecture teams to deliver patient‑oriented clinical conversations that meet safety and quality standards. - Author and maintain reusable prompt patterns, guard rules, and fallback mechanisms. - Run A/B experiments and offline evaluations; analyze results to optimize prompts, flows, and tooling. - Develop lightweight Python utilities and configuration scripts to instrument, evaluate, and ship agents efficiently and safely. Required Skills: - Proficiency in Python; comfortable building small tools and CLI scripts. - Hands‑on experience with LLM prompting (e.g., ChatGPT, Claude) through professional or personal projects. - Strong problem‑solving skills and adaptability in a fast‑moving environment. Required Education & Certifications: - Bachelor’s degree in Computer Science, Computer Engineering, or related field (or equivalent coursework/projects).

Palo alto, United states

On site

30-11-2025

Company Name

Hippocratic AI

Job Title

Junior Forward Deployment Engineer (Contract)

Job Description

**Job title:** Junior Forward Deployment Engineer (Contract) **Role Summary:** Support the development and maintenance of a conversational AI layer that enables autonomous, patient‑centered interactions within the company’s healthcare-focused LLM. Responsible for crafting and refining prompts, collaborating across product, engineering, and clinical teams, and conducting experiments to improve model performance, safety, and user experience. **Expectations:** - Deliver high‑quality, well‑tested prompts and model configurations within defined timelines. - Work cross‑functionally to integrate conversational flows into the product. - Analyze experiment results and iterate on prompt strategies. - Commit to continuous learning of new AI techniques and best practices. **Key Responsibilities:** - Design, code, and iterate complex prompts for advanced conversation planning. - Develop and maintain RESTful APIs and simple database interactions. - Collaborate with Product Managers, Software Engineers, and Clinicians to specify conversational requirements and validate outputs. - Run controlled experiments, document results, and recommend optimizations for model safety and reliability. - Ensure compliance with data privacy and security guidelines. **Required Skills:** - Proficient in Python programming. - Hands‑on experience with LLM prompting (ChatGPT, Claude, etc.). - Ability to build and consume simple REST APIs; familiarity with relational databases. - Strong analytical skills for experiment design and outcome assessment. - Excellent written and verbal communication; ability to explain technical concepts to non‑technical stakeholders. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Computer Engineering, or related field (or equivalent coursework/projects). ---

Palo alto, United states

On site

Junior

30-11-2025

Company Name

Hippocratic AI

Job Title

Product Manager, AI Agents

Job Description

**Job Title** Product Manager, AI Agents **Role Summary** Lead the development and continuous improvement of intelligent healthcare agents built on large language models (LLMs). Work cross‑functionally with engineering, design, and clinical stakeholders to design agent capabilities, establish performance metrics, and ensure safety and quality in real‑world deployments. **Expectations** - Manage the full product lifecycle for AI agents, from concept through launch to iteration. - Translate ambiguous stakeholder needs into clear, measurable product requirements. - Drive data‑driven improvement cycles, leveraging user feedback and internal performance benchmarks. - Collaborate closely with engineering on prompt engineering, tool integration, and real‑time decisioning. - Maintain rigorous safety and quality standards, monitoring for adverse behavior and performance drift. **Key Responsibilities** - Define and prioritize AI agent features that align with clinical workflows. - Create specifications and success criteria for each agentic function. - Oversee prompt engineering, retrieval‑augmented generation (RAG), and tool‑calling workflows. - Coordinate with data science teams to set up monitoring dashboards for safety, accuracy, and efficiency. - Analyze usage data and conduct A/B tests to guide iterative refinements. - Partner with product marketing and documentation teams to craft clear user guides and release notes. - Ensure compliance with healthcare data and safety regulations. **Required Skills** - Product management experience (≥4 years) with a focus on AI/ML or LLM product lines. - Deep knowledge of LLM engineering concepts: prompt design, RAG, tool integration, real‑time inference. - Proven ability to define product roadmaps, KPIs, and quality metrics in uncertain environments. - Experience launching production‑ready AI/ML products and managing post‑launch iterations. - Strong analytical skills: data interpretation, A/B testing, statistical evaluation. - Excellent communication and stakeholder‑management abilities. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, Medicine, or related field (Master’s preferred). - Certifications in product management (e.g., Pragmatic Marketing, AIPMM) and/or AI/ML fundamentals are a plus.

Palo alto, United states

On site

30-11-2025

Company Name

Hippocratic AI

Job Title

ML/Backend Research Engineer

Job Description

**Job title**: ML/Backend Research Engineer **Role Summary** Design, build, and maintain highly scalable backend infrastructure to support large‑scale, high‑performance AI applications in healthcare. Work with cross‑functional teams to create efficient data pipelines, APIs, and microservices that enable data ingestion, feature extraction, and interaction with large language models (LLMs). **Expectations** - Deliver robust, reproducible backend solutions that meet stringent performance, reliability, and uptime targets. - Collaborate closely with data scientists, ML engineers, and product managers to translate healthcare requirements into technical implementations. - Continuously monitor, profile, and optimize backend performance. **Key Responsibilities** - Develop and maintain scalable backend systems for AI workloads. - Design and implement data pipelines for speech, vision, and text data using distributed orchestration tools (Ray, Apache Airflow). - Build and expose RESTful APIs and microservices for data retrieval, processing, and model interaction. - Manage API gateways, implement tag‑management and metadata systems for dataset organization. - Optimize backend infrastructure for data ingestion, feature extraction, and tagging workflows. - Integrate with cloud platforms (AWS, GCP) and maintain CI/CD pipelines. - Ensure system reliability, performance, and high availability. - Contribute to end‑to‑end ML pipelines, from data preparation to deployment. **Required Skills** - 5+ years of backend development experience (Python, Go, or equivalent). - Expertise in building and maintaining multi‑modal data pipelines using Ray, Apache Airflow, Spark, or Hadoop. - Strong knowledge of relational databases, RESTful APIs, gRPC or GraphQL. - Familiarity with cloud services (AWS, GCP) and basic DevOps (CI/CD, Terraform, build systems). - Ability to handle sensitive or regulated data. - Experience with real‑time audio processing is a plus. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Computer Engineering, or related field (Master’s preferred). - No additional certifications required, but familiarity with AI/ML concepts or LLMs is desirable.

Palo alto, United states

On site

Mid level

30-11-2025