AI is now central to how patients reach care at DexCare. Conversational agents talk to patients by voice and text. Predictive models decide where capacity should go. Knowledge systems turn a health system's undocumented operational rules into something machines can act on. All of it is live with US customers today.
We're hiring a VP of AI/ML to own that work end to end, reporting to the CTO. You'll set technical direction for AI/ML across the company, build and scale the ML engineering team in US / India, and be accountable for how these systems behave in production — where a wrong answer to a patient is a safety event, not a bad demo.
This is a senior leadership role for an engineer at heart. You'll build and manage a team and still be expected to review architecture, read code, and hold a real opinion about model behavior. You'll work closely with engineering, product, and data leaders based in the US.
What you'll own
- Conversational AI. The engine behind patient-facing voice and text agents — orchestration, dialogue design, and the balance between model-driven flexibility and the deterministic control healthcare demands.
- Realtime voice. Latency, concurrency, and conversation quality on live telephony at production volume.
- Predictive ML. Demand, capacity, ranking and matching problems across the scheduling and access surface.
- Retrieval and knowledge. Extracting structure from clinical and operational material that was never meant to be machine-readable, and serving it back to agents and applications reliably.
- Safety and reliability. Classification and monitoring that runs alongside every patient conversation, plus the evaluation systems that decide whether a change is safe to ship.
- The full lifecycle. Experimentation through deployment, monitoring, and the MLOps practice underneath it.
- Model strategy and economics. Build-versus-buy across model providers, and the unit cost of every interaction as a metric you manage deliberately.
- The team. Hiring, structuring and growing the ML organization in US / India as part of a global function.
What you'll bring
- Typically 15+ years across machine learning, AI, software engineering or data science, with a hands-on engineering foundation
- Deep Python and modern ML tooling; PyTorch, TensorFlow or equivalent
- Realtime or streaming voice systems: latency budgets, interruption handling, telephony
- Retrieval systems built over messy enterprise knowledge
- Evaluation harnesses that gate releases
- Experience hiring and leading ML engineering teams and senior technical talent, ideally including building a team from a small base
- Multi-tenant SaaS, with a working understanding of tenant isolation and per-customer configuration
- Production experience on Azure or AWS
- Comfort operating in a global structure with US-based peers and customers, including overlap hours
- Healthcare data fluency — HIPAA, PHI, or equivalent regulated-data experience — or the appetite to get there fast
- Advanced degree or an equivalent track record. Patents and publications welcome, not required.
You've shipped LLM-based systems into production under real regulatory constraint — healthcare, financial services, or somewhere else a wrong answer has consequences.
Beyond that:
Skills Required
- Typically 15+ years of experience across machine learning, AI, software engineering, or data science
- Hands-on engineering foundation with deep Python and modern machine learning tooling
- Experience shipping LLM-based systems into production under real regulatory constraints
- Expertise with PyTorch, TensorFlow, or equivalent machine learning frameworks
- Experience with realtime or streaming voice systems, latency budgets, interruption handling, and telephony
- Experience building retrieval systems over complex enterprise knowledge
- Experience creating evaluation harnesses that gate production releases
- Experience hiring and leading ML engineering teams and senior technical talent
- Experience building an ML team from a small base
- Understanding of multi-tenant SaaS, tenant isolation, and per-customer configuration
- Production experience with Azure or AWS
- Healthcare data fluency, including HIPAA, PHI, or equivalent regulated-data experience
- Advanced degree or equivalent track record
- Patents and publications
- Ability to work in a global structure with US-based peers and customers, including overlap hours
What We Do
DexCare is a data-driven intelligence company making access to healthcare easier and better for everyone. We enable patients to get the care they need faster, easier, more affordably, with better results. We enable providers to see more patients, easily and more effectively through different modalities. We enable health systems to utilize resources more efficiently and effectively, lower costs, grow revenue, and build enduring relationships with patients and providers.
Why Work With Us
DexCare is a series B venture-backed healthtech startup backed by leading healthcare investors. DexCare is led by a customer-focused mission-driven team experienced in building successful, innovative, and transformative solutions to healthcare’s biggest problems. Join our team and lend your talent to continue moving the initiatives forward.
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