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Senior Software Engineer - AI Agent Infrastructure
Senior Software Engineer - AI Agent InfrastructureHoney Health • San Francisco, CA, United States
Senior Software Engineer - AI Agent Infrastructure

Senior Software Engineer - AI Agent Infrastructure

Honey Health • San Francisco, CA, United States
2 days ago
Job type
  • Full-time
Job description

About Honey Health

Honey Health is the all-in-one AI back office for primary and specialty care. Our AI agents autonomously handle core back-office jobs, including aggregating patient data, processing orders and prescriptions, automating prior authorizations, triaging faxes and referrals, and managing revenue cycle management (RCM). Organizations using Honey often reduce administrative costs while enhancing staff and patient satisfaction and boosting revenue. Built with enterprise-grade security and privacy, our platform is engineered for real operational transformation.

About the Role

We are looking for a Senior / Staff Software Engineer to drive the development of innovative AI Agent systems that can transform healthcare operations. In this role, you will be at the forefront of designing and implementing the infrastructure necessary for training and deploying impactful AI Agents in healthcare. Our mission is to create reliable, scalable platforms for AI Agents that can perform complex tasks safely and autonomously. You will collaborate with AI researchers, product teams, and operational teams to turn groundbreaking research into effective healthcare applications that automate back-office operations and enhance patient care. If you are passionate about being an architect of AI Agents in healthcare and are relentless in your pursuit of high-quality, safe, and beneficial AI systems, this could be the right opportunity for you.

Is This You?

  • Excited about the potential of Agentic AI and eager to innovate within the healthcare space.
  • Deeply committed to creating meaningful change that enhances healthcare providers' and patients' experiences.
  • Driven to tackle complex challenges with ambition and energy, striving for excellence.
  • Proactive and enthusiastic, fostering creativity and encouraging the team to explore bold new ideas.

In this role, you will :

  • Design and develop next-generation AI agent infrastructure to train and deploy healthcare AI agents, ensuring efficiency, reliability, and scalability.
  • Leverage the latest advancements in LLMs and in-house research to enhance agent capabilities using generative AI and reinforcement learning.
  • Prototype and integrate AI agents with real healthcare data and services to enable safe automation in complex workflows.
  • Work with healthcare experts to translate AI research into practical features, and validate these with pilot customers and clinicians.
  • Maintain high standards of code quality, testing, and reliability while continuously improving processes to enhance user experience.
  • You might thrive in this role if you :

  • Have 5+ years of related experience.
  • Are passionate about using AI for innovation and improving healthcare systems.
  • Have built advanced AI and Agentic systems, equipped with hands-on experience in tools like LangChain, context engineering, and RL-enhanced agents.
  • Possess the ability to launch new projects from conception to large-scale implementation quickly.
  • Embrace a product-focused mindset that prioritizes user impact and iterative improvement in high-quality solutions.
  • Are committed to continuous improvement and pushing limits in your work.
  • Join us at Honey Health and leverage your expertise in AI agents to tackle real-world healthcare challenges. You will be part of a transformative era where Agentic AI systems profoundly enhance healthcare, from reducing administrative burdens to facilitating better patient care. We seek your curiosity, ownership, and determination in advancing the capabilities of AI agents in healthcare. Apply now and help us shape the future of health.

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    Senior Software Engineer Infrastructure • San Francisco, CA, United States

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