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ClarionClarion

Forward Deployed Engineer

Build and deploy AI agents for healthcare scheduling and workflows, own end-to-end customer implementations, optimize production performance, and shape product roadmap from customer insights. Requires 3+ years hands-on engineering with customer exposure.

About the job

What You'll Be Working On

  • Build and ship: Write production code—building integrations, configuring AI agents, and implementing platform logic based on customer workflows and scheduling rules.
  • Own implementations end-to-end: Create and manage technical project plans from scoping through go-live. Coordinate internal resources, delegate workstreams, and drive timelines to completion.
  • Engineer our moat: Architect the high-leverage systems and playbooks that transform these complex implementations into a repeatable, scalable infrastructure.
  • Be the technical face to customers: Serve as primary POC for customer technical teams—leading discovery sessions, unblocking integration issues, and building trusted advisor relationships.
  • Optimize AI agents in production: Monitor agent performance at scale, diagnose failure modes, and iteratively refine behavior to improve accuracy, reliability, and patient experience over time.
  • Grow accounts: Drive expansion post-launch by deploying new features, identifying upsell opportunities, and proactively solving emerging pain points.
  • Shape the product: Translate field observations and customer feedback into actionable requirements that inform the product roadmap.

Requirements

  • Technical foundation: 3+ years of engineering experience shipping production systems while working directly with customers. This is a hands-on coding role, not purely project management.
  • Project leadership: Track record of managing complex, multi-workstream technical projects and coordinating cross-functional resources to deliver on time.
  • Customer-facing presence: Experience as a primary technical POC—comfortable leading architecture discussions and building relationships with technical stakeholders.
  • Product intuition: Ability to synthesize customer needs into insights that bridge field reality and engineering priorities.

Interesting Technical Challenges

  • AI agent tuning at scale: Configure voice agents for medical terminology and complex scheduling logic, then continuously refine as real-world edge cases emerge in production.
  • Workflow orchestration: Map and automate multi-step processes—scheduling, insurance verification, prescriptions, documentation—across diverse customer environments.
  • Personalization that scales: Deploy agents that adapt to each organization's unique protocols and terminology without requiring bespoke rebuilds for every customer.
  • Debugging AI in the wild: Diagnose agent failures across integrations and LLM behavior, then implement fixes that generalize across deployments.
  • Shape the product from the field: Identify patterns across deployments and translate insights into product requirements that drive the roadmap.

What we offer

  • Direct mentorship: Work closely with our founding team and experienced leaders who will invest in your professional development.
  • Meaningful equity: Early employee stock options with significant ownership potential.
  • Comprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, weekly team lunches.
  • Team culture: Quarterly retreats and monthly team events that build genuine connections in our close-knit NYC team.
  • Impact at scale: Work that builds the infrastructure to help millions of patients access care.

Skills

AI Agents, Integrations, Python, LLMs, Workflow Orchestration, Production Systems, Customer-Facing Engineering, Medical Terminology, Voice Agents, Debugging Ai

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