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# Agent Deployment Engineer (Residency Program)

- **Company:** Hippocratic AI
- **Location:** Palo Alto, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Databases, Computer Engineering, Django Web Framework, Python (Programming Language), Machine Learning, Language Modeling, Web Application Frameworks, Flask (Web Framework), Large Language Models, Spring-boot, Backend, Information Technology, Virtual Agents, Restful APIs, GPT
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c4ba48c3c943bec8

## About the Role

* Bachelor's degree in Computer Science, Computer Engineering, or a related field (or equivalent coursework/projects).
 * 2+ years industry experience
 * Experience with Python
 * Experience with LLM prompting (chatGPT, Claude, etc) through professional or personal use
 * Exposure to working with databases and building simple RESTful APIs.
 * Strong problem-solving mindset and eagerness to learn new technologies.

Nice-to-Have:

 * Experience with personal or academic projects involving backend development.
 * Basic understanding of AI/ML concepts or a desire to learn about them.
 * Knowledge of modern web frameworks (e.g., Flask, Django, or Spring Boot).
 * Awareness of data privacy and security best practices, especially in regulated environments.

## Description

We're seeking a Agent Deployment Engineer to join our collaborative team of engineers, scientists, and healthcare professionals working on transformative AI solutions. In this role, you'll help develop and maintain our conversation layer using a mix of software and prompting skills to allow our AI agent facilitate autonomous conversations., * Develop complex prompts in our SOTA conversation planning layer to enable complex agentic model workflows

 * Collaborate with Product Managers, Software Engineers and Clinicians to create fully autonomous, clinical conversations.
 * Write, configure and iterate on prompts to create engaging, patient-oriented conversations
 * Use advanced prompting techniques to develop and optimize prompts for language models to improve model performance, clinical safety, and patient experience.
 * Conduct experiments and analyze outcomes of model outputs to refine and iterate on prompt strategies.


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