- Location: Bengaluru Office
- 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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Job description provided by Experity.
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