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Hello Patient

AI Research Engineer – Prompting

Hello Patient

Prompting & AI Agent Research Engineer developing experimental designs for AI advancements at Hello Patient. Leading research and experimentation to enhance AI voice agent performance in healthcare.

Posted 6/3/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $180,000 - $230,000 per yearWebsite

About the role

Key responsibilities & impact
  • Design structured experiments with real controls and statistical rigor
  • Build regression test coverage so we know when a global prompt change is breaking things across workflows we didn't expect
  • Create a pipeline of validated, high-confidence improvements engineering can pull from instead of building on faith
  • Work with the team to prioritize what actually gets shipped based on what the experiments say
  • Own prompt design across Mia's agent workflows - multi-turn, voice-first, healthcare context
  • Stay current on what's coming out in prompting research, and agent architecture, and bring back ideas worth testing
  • Prototype new approaches locally before anything touches production
  • Be the person the Product team comes to when they're stuck on a prompting problem
  • Work closely with our Product and Engineering teams - understand where Mia is struggling and help decide what's worth experimenting on
  • Translate experiment results into clear recommendations people can actually act on
  • Build out evaluation templates and frameworks so this doesn't live only in your head

Requirements

What you’ll need
  • 5+ years of experience in a prompting, AI research, or applied AI role
  • Advanced degree in a research-oriented field (PhD preferred) - CS, linguistics, cognitive science, stats, or similar
  • Real prompt engineering experience - deliberately designing, testing, and improving prompts to change system behavior
  • Solid experimental design fundamentals: controls, statistical significance, knowing when a result actually means something
  • Hands-on experience working with LLMs in applied contexts
  • Comfort with RAG, agentic architectures, and modern LLM tooling
  • Ability to evaluate and validate AI system behavior - understanding what the model is doing and why
  • Clear written communication; your findings need to land with engineers and non-technical stakeholders alike.

Benefits

Comp & perks
  • Equity: Meaningful ownership in a fast-growing healthtech startup

ATS Keywords

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Hard Skills & Tools
prompt engineeringexperimental designstatistical significanceregression testingLLMsRAGagentic architecturesdata analysisprototypingevaluation frameworks
Soft Skills
clear written communicationcollaborationproblem-solvingprioritizationcritical thinkingadaptabilitycreativitydecision-makingtranslating findingsstakeholder engagement
Certifications
PhD in Computer SciencePhD in LinguisticsPhD in Cognitive SciencePhD in Statistics