Modeling agent serp_jobs.h1.location_city

Agent Architect

Hippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health.

We are looking for an Agent Architect to design, develop, and innovate the next generation of agentic systems that drive our healthcare-focused AI platform. This individual will serve as a central architect in shaping how our agents think, act, and interact across diverse clinical use cases.

You will be responsible for selecting the right agentic paradigmsranging from tool use, retrieval-augmented generation (RAG), and prompt engineering, to model trainingand defining the underlying architecture for intelligent, safe, and responsive agents. You will work closely with our research, engineering, and evaluation teams to integrate cutting-edge techniques and continuously push the boundaries of agent capabilities.

This role blends deep technical knowledge with strategic thinking and experimentation. It's ideal for those who thrive at the intersection of LLM system design, product innovation, and applied AI research.

Responsibilities

• Architect and design new AI agents across a variety of clinical and operational use cases
• Evaluate and select the optimal agentic paradigm for each scenario (e.g., tools, engines, prompting, RAG, model training)
• Choose the appropriate models from our internal model library for specific tasks
• Collaborate with the research team to fine-tune models and optimize agent behavior
• Define and iterate on evaluation protocols in partnership with the evaluation team
• Develop new agent patterns and workflows to enable novel capabilities and interactions
• Rapidly incorporate state-of-the-art techniques from the latest scientific literature and open-source developments
• Track and integrate capabilities from emerging foundational models to improve system performance and scope

Required Qualifications

Preferred Skills

Candidate Background

We recognize that agent architecture is a novel and rapidly evolving field. Ideal candidates may come from varied backgrounds such as applied ML engineering, AI product design, prompt engineering, or even NLP-focused research roles. If you are excited about designing intelligent systems from the ground up and want to shape how LLMs interact with the world in a safe and impactful way, we encourage you to apply.