Vali Health | Founding Product Engineer, Voice AI

Vali Health | Founding Product Engineer, Voice AI

People Culture Talent – apply for the founding Product Engineer role to build the intelligent AI manager transforming home healthcare operations.

Compensation

Base pay range: $/yr – $/yr. Actual compensation will depend on your skills and experience.

About Vali

We're building the intelligent AI manager that transforms how home healthcare operates. Think of us as the nervous system for home care agencies—coordinating caregivers, managing schedules, and ensuring vulnerable populations get reliable, compassionate care around the clock. Our multi-agent platform not only digitizes existing processes; it creates an entirely new category of AI‑powered healthcare operations. We’re already helping agencies serve thousands of seniors aging at home with technology that makes care more consistent, proactive, and human‑centered.

The

Opportunity

Transform healthcare operations while people sleep. Imagine every after‑hours call to a home‑care agency—emergency schedule changes, caregiver call‑offs, urgent client needs—handled instantly, accurately, and compassionately, 24/7. We’ve built a prototype that delights customers, and we need a founding engineer to perfect the first truly autonomous after‑hours operations system for healthcare. This is a product‑driven founding engineering role where you’ll work directly with customers, see immediate impact from your code, and own the technical decisions that make life‑or‑death automation trustworthy at scale.

What

You’ll Own & Impact You’ll Create

• Build the After‑Hours Brain for Healthcare
• Own the complete autonomous operations pipeline—from voice interactions to workflow execution to human escalation—ensuring no critical call goes unanswered
• Design and implement the intelligence that determines when AI can handle situations independently versus when human expertise is required

Create AI That Operators Trust

• Build the tools and integrations that power our voice agents—workflow execution engines, structured data capture, and seamless handoffs to existing systems
• Develop monitoring, review, and audit systems that give human operators complete confidence in AI‑driven decisions

Perfect Through Real‑World Feedback

• Create continuous improvement pipelines that learn from every call—automated testing, evaluation frameworks, and rapid iteration cycles
• Work directly with operations teams to translate messy real‑world scenarios into reliable, safety‑first automation

Ship Features That Scale Instantly

• Build full‑stack solutions that work from day one—from backend orchestration to operator dashboards to customer‑facing experiences
• Partner with stakeholders to define automation boundaries and translate operational requirements into bulletproof product features

You’ll Thrive Here If You’re Someone Who…

• Ships Fast & Iterates Fearlessly: Strong product intuition, quick to deliver, and iterates based on real feedback
• Gets energized by direct customer interaction and seeing immediate impact from code changes
• Loves Building AI That Actually Works: Passionate about conversational AI with hands‑on experience building agents that solve real operational problems
• Uses AI‑native development tools to move faster while maintaining production‑quality standards
• Takes Ownership & Drives Results: Takes full ownership, proactively communicates, and thrives in fast‑paced environments where priorities shift
• Understands that great automation is about the entire ecosystem of tools, processes, and human oversight
• Can work across the full stack to ship cohesive products that solve end‑to‑end problems

You’ll Really Stand Out If You Have

• Core Experience That Sets You Up for Success:
  • 3–5 years in startup environments where you balanced speed with reliability
  • Production conversational AI experience—shipped and operated call automation or voice agent systems that real users depend on
  • LLM production expertise—deep understanding of tool use, structured outputs, evaluation frameworks, and safety guardrails
  • Operations tooling background—built internal tools, QA workflows, escalation systems, or audit‑friendly interfaces
• Technical Versatility:
  • Full‑stack comfort across backend systems, LLM…