Senior Software Engineer, AI Applications (Full-Stack Generalist)
Team: AI Scribe
Experience: 5+ years
Summary
We're looking for a strong generalist engineer who is comfortable working across the entire system — not just one layer of it. Our AI scribe platform spans a Next.js PWA (browser and server), multiple TypeScript microservices, AWS cloud infrastructure, Kafka event pipelines, and
AI agent orchestration.
We don't need someone who specializes in one piece. We need someone who can understand and contribute to all of them.
This is a role for an engineer who picks up whatever needs to be done, builds context quickly, and delivers. You might wire up a new React component in the morning, debug a Kafka consumer in the afternoon, and adjust a Terraform module before EOD. You're not intimidated by unfamiliar territory — you learn systems fast and ask good questions.
What You'll Do
Deliver features end-to-end: from React UI through Next.js server actions, into backing APIs, and out through event pipelines
Work across the full TypeScript service landscape (encounters API, practice API, event bridge, PM integration consumer)
Contribute to AWS infrastructure (Terraform, ECS/EKS, S3, Secrets Manager) when the team needs it
Collaborate on AI agent development and integration — understanding how LLM-based agents fit into the clinical workflow
Debug cross-service issues by tracing requests through the browser, server, APIs, message queues, and cloud services
Improve developer tooling, CI/CD pipelines, and deployment processes as a natural byproduct of your work
Help define technical direction — you see the full picture and can identify where the system's seams are weakest
What You Bring
5+ years of professional software engineering experience
Strong TypeScript skills across both browser (React) and server (Node.js) environments
Experience with Next.js or similar full-stack frameworks (server components, API routes, server actions)
Comfort with cloud infrastructure — you've worked with AWS services, written Terraform or
CloudFormation, and debugged production deployments
Experience with event-driven systems (Kafka, SQS, or similar message brokers)
Ability to context-switch between domains without losing depth — you go deep when needed, then zoom back out
Self-directed: you identify what needs to be done and do it without waiting for detailed tickets
Nice to Have
Experience with AI/LLM agent frameworks and orchestration patterns
Healthcare domain knowledge or experience with EMR systems
Familiarity with Kubernetes, Helm, and GitOps workflows
Experience with real-time audio/streaming applications
Background in DevOps or platform engineering
Experience with feature flagging systems (LaunchDarkly
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Job details are sourced from the employer's original posting.
Open job postingAbout the company
Experity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software that makes care faster, easier, and more patient-focused.