Senior Generative AI Engineer
Virta HealthAbout the role
Senior Generative AI Engineer
Virta Health is pioneering a new standard of care for people to reclaim their lives. We are in the midst of a public health crisis: obesity rates are at an all-time high and over half of US adults have type 2 diabetes or prediabetes, and despite billions spent on new treatments, outcomes are largely worse. Virta reverses these diseases and delivers life-changing results by pairing individualized nutrition with ongoing care from a clinical support team. We have raised over $350 million from top-tier investors, and partner with the largest health plans, employers, and government organizations to help their employees and members restore their health and take back their lives.
This role is a chance to help shape the future of Virta’s AI-powered coaching experience and contribute to reversing chronic conditions like diabetes and obesity at scale. As a key member of the technical leadership team, you’ll play a central role in evolving our GPT-based chatbot into a powerful platform that supports coaches, engages members, and drives real health outcomes. It’s a rare opportunity to work at the intersection of GenAI, behavioral health, and mission-driven impact. You’ll collaborate closely with product, design, and engineering partners to solve complex problems at the intersection of GenAI and behavior change. If you're passionate about solving hard problems that actually help people, this is the role for you.
Responsibilities
Collaborate with cross-functional teams (product, design, engineering, and clinical experts) to evolve Viv, Virta’s GPT-powered chatbot, into a scalable platform.
Design and implement core infrastructure to support prompt orchestration, context management, experimentation, and evaluation at scale.
Contribute to the technical strategy for conversational AI—bringing a GenAI perspective to platform decisions, roadmap planning, and system architecture.
Write production-grade code and build robust ML systems that support continuous learning, monitoring, and iteration.
Mentor and guide teammates across disciplines, elevating engineering practices and GenAI fluency across the organization.
Measure and improve chatbot performance through data-driven iteration, focusing on member engagement, response quality, and outcome achievement.
90 Day Plan
Within your first 90 days at Virta, we expect you will do the following:
Month 1: Immerse & Align
You’ll hit the ground running by diving into Viv’s existing architecture, prompt frameworks, and conversational data. You’ll get familiar with our health coaching product, how Viv fits into the member journey, and the cross-functional team behind it—including product managers, engineers, designers, and coaching leads. You’ll also join strategic planning sessions to help shape where Viv goes next—and how your expertise can accelerate that vision.
By the end of Month 1, you’ll understand the key systems in place, the major opportunities ahead, and where your impact can be most immediate.
Month 2: Build & Experiment
You’ll start shipping. Expect to take the lead on experiments around prompt tone and engagement, testing different conversational styles and message formats to drive more member interaction. You'll work on improving Viv’s context-awareness using event data and begin contributing to the platform architecture for message routing, experimentation, and testing.
By the end of Month 2, you’ll have launched your first experiments, contributed to platform infrastructure, and helped the team start to scale personalized, dynamic conversations.
Month 3: Extend & Lead
You’ll take on larger technical ownership—helping define the vision for proactive use cases, message prioritization, and coach-Viv collaboration systems. You’ll mentor other engineers, guide architecture decisions for upcoming features, and partner with product to prioritize high-impact roadmap items. You'll also start to shape how Viv becomes a tool that every team at Virta can build on.
By the end of Month 3, you’ll be a go-to leader on the Viv team—pushing forward both technical innovation and cross-team alignment, and helping drive real engagement and health outcomes for our members.
Must-Haves
Experience with large language models (LLMs) such as OpenAI’s GPT, including prompt engineering and tuning for performance and engagement.
Strong software engineering skills, particularly in Python, with experience writing production-quality
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