Staff Software Engineer

Experity, Inc.; Bengaluru; Presencial; INR 3.500.000 - 5.500.000; Jornada completa

Descripción de la vacante

Experity, Inc. is hiring a Staff Software Engineer to lead RCM automation and platform evolution in Bengaluru. The role spans backend services, APIs, integrations, event-driven and long-running workflows, and AI-enabled automation for revenue cycle management processes.

You will mentor engineers, establish reusable patterns, and drive architectural decisions across the RCM platform while aligning with product goals and operational excellence.

Formación

• Technical leadership and platform architecture experience.
• Experience with TypeScript, Node.js, and cloud-native tech.
• Healthcare domain knowledge is a plus.

Responsabilidades

• Define and evolve the technical architecture for RCM automation capabilities spanning multiple products, services, workflows, and integrations.
• Lead complex, high-impact design initiatives where requirements or boundaries are initially ambiguous.
• Establish reusable patterns for workflow orchestration, state management, business rules, integrations, and AI-enabled automation.
• Design scalable production software for RCM workflows, including backend services, APIs, and integrations.
• Mentor engineers and drive architecture decisions across cross-team platform initiatives.

Descripción del empleo

Position Overview

We are looking for a Staff Software Engineer, RCM AI Automation & Platform to provide technical leadership and help shape the next generation of Experity's RCM technology.
In this role, you will lead the design and evolution of platform capabilities spanning multiple RCM workflows , including backend services, APIs, integrations, event-driven and long-running workflows, configurable business rules, data, and AI-enabled automation supporting charge entry, claims processing, claim submission, rejection and denial resolution, payments, and other parts of the revenue cycle.
You will work closely with Product Managers, RCM Operations, Software Engineers, Architects, Data teams, and QA to translate complex healthcare business workflows into scalable, maintainable software solutions.
As a Staff Engineer, your impact will extend beyond the software you personally build. You will provide technical direction across initiatives, establish reusable architecture and engineering patterns, solve high-ambiguity and cross-system problems, mentor engineers, and help teams make sound technical tradeoffs as the RCM platform evolves.
Success means more than delivering features. You will help increase automation, reduce unnecessary manual work, improve claim outcomes, shorten processing time, and build an RCM platform that can continue to evolve.
You will be expected to understand the business workflow behind the software, identify opportunities for automation, and determine when deterministic software, configurable rules, data, machine learning, or AI agents are most appropriate for the problem.

What You'll Do

Architecture & Technical Leadership

• Define and evolve the technical architecture for RCM automation capabilities spanning multiple products, services, workflows, and integrations.
• Lead technical design for complex, high-impact initiatives where requirements, system boundaries, or implementation approaches may initially be ambiguous.
• Establish reusable patterns for workflow orchestration, state management, business rules, integrations, event processing, AI-enabled automation, observability, and failure recovery.
• Identify where capabilities should become reusable platform services versus remaining workflow- or product-specific implementations.
• Drive technical decisions across service boundaries and work with architects and engineering teams to ensure solutions fit Experity's broader platform architecture.
• Evaluate architectural tradeoffs involving scalability, reliability, maintainability, security, cost, speed of delivery, and operational complexity.
• Reduce unnecessary technical complexity and prevent one-off solutions from becoming long-term platform liabilities.

RCM Platform Engineering

• Design, develop, test, deploy, and operate scalable production software supporting Experity's Revenue Cycle Management workflows.
• Build backend services and REST APIs using TypeScript, Node.js, and cloud-native technologies.
• Contribute to modern web applications when needed using technologies such as React, Next.js, and TypeScript.
• Design and implement event-driven, queue-based, and asynchronous workflows with explicit state management, retries, redrive, exception handling, idempotency, and auditability.
• Design long-running RCM workflows that support state transitions, human-in-the-loop processing, exception handling, replay/recovery, workflow versioning, and compensation or reversal when appropriate.
• Ensure workflow designs can evolve across multiple RCM use cases without creating tightly coupled or duplicated implementations.
• Build integrations with Experity applications, healthcare clearinghouses, payer systems, and third-party RCM services.
• Design reliable interfaces for claims, payment, eligibility, rejection, denial, and other healthcare transaction workflows.
• Define integration patterns and contracts that improve consistency, resilience, traceability, and reuse across RCM systems.

Rules, Data & Automation

• Develop configurable business rules and workflow capabilities that replace logic currently distributed across application code, spreadsheets, and operational processes.
• Build rules and workflow capabilities that are configurable, versioned, explainable, auditable, and safe to change without introducing unnecessary application dependencies.
• Guide the architecture of reusable rules, workflow, and exception-management capabilities rather than embedding business logic independently within individual services.
• Work with claims, financial, and operational data to improve automation, identify exceptions, and measure business outcomes.

AI & Agentic Engineering

• Integrate Generative AI, LLMs, agents, retrieval, and machine learning capabilities where they provide measurable value, while using deterministic software and business rules where those approaches are more appropriate.
• Build AI-enabled capabilities using clearly defined tools, APIs, contracts, permissions, validation, e