Founding Backend Engineer

Responsibilities:

• Building task-specific AI agents for healthcare operations.
• Creating reusable agent architectures for multiple customers.
• Integrating LLMs with enterprise tools and APIs.
• Designing prompt pipelines and tool execution flows.
• Developing memory and context management for agents.
• Building fault-tolerant agent execution systems.
• Improving response quality, latency, and operational reliability.
• Multi-Agent and Workflow Orchestration: Build orchestration systems that coordinate multiple AI agents and external services.

This includes:

• Designing multi-step AI workflows.
• Agent-to-agent communication.
• Workflow routing and decision engines.
• Human-in-the-loop approvals.
• Retry and recovery mechanisms.
• Background job execution.
• Queue-based processing.
• Event-driven automation pipelines.
• You should enjoy solving real-world orchestration problems where reliability is as important as intelligence.
• Customer-Specific AI Automation.
• Every healthcare customer has different workflows.
• You will build configurable AI systems that can adapt to each customer's processes without requiring major code rewrites.

Examples include:

• Referral workflows.
• Appointment coordination.
• Document processing.
• Patient communication.
• Provider-specific automation rules.
• Portal and EHR integrations.
• Customer-specific business logic.
• Custom workflow builder.
• Backend Platform Engineering.
• Design scalable backend systems supporting AI workflows.

Responsibilities include:

• Building REST APIs.
• Backend microservices.
• Database design.
• Queue-based processing.
• Worker services.
• Authentication and authorisation.
• Third-party integrations.
• Logging and monitoring.
• Performance optimization.
• Cloud deployment.