Software Engineer III ,AI Fullstack gernalist

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

Equal Opportunity Employer

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