Lead Backend Engineer (Agentic SDLC)

Arintra • Medical AI • Revenue Cycle & Medical Billing • Java • 2 days ago

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Salary

≈ $26k – $57k per year (Estimated)

Location

In office (Bengaluru)

Seniority

Staff · 6+ years exp

First seen by Alion on Sep 30, 2026.

Overview

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Arintra

Arintra is a healthcare technology company based in Austin, Texas, and founded in 2019. The company provides an AI-driven autonomous medical coding and revenue assurance platform that integrates with electronic health record systems to automate insurance claim submissions. It operates across more than 23 medical specialties and multiple care settings, serving large health systems and provider groups throughout the United States.

arintra.com • HQ: Austin, United States • Medical AI • Revenue Cycle & Medical Billing • 51-200 employees • Est. 2019

Tech stack of Arintra

Responsibilities:

Design and build scalable backend applications using Java, Spring Boot, Hibernate/JPA, REST APIs, and Microservices.
Drive HLD, LLD, system design, and architecture for enterprise applications.
Lead the adoption of Agentic SDLC by integrating AI-assisted development across design, coding, code review, testing, and production support.
Build AI-enabled developer workflows using tools like Claude Code, Cursor, GitHub Copilot, Codex, Devin, Aider, Cline, or Windsurf.
Develop Prompt Engineering, Context Engineering, MCP (Model Context Protocol) integrations, and AI automation pipelines.
Define engineering standards for AI-generated code, CI/CD, testing, code quality, and performance.
Mentor engineers and collaborate with Product, Platform, and Infrastructure teams to deliver scalable backend systems.

Requirements:

6+ years of backend engineering experience with 2+ years in a Lead/Tech Lead role.
Strong expertise in Java, Spring Boot, Hibernate/JPA, Microservices, REST APIs, and Distributed Systems.
Hands-on experience with HLD, LLD, System Design, and scalable production systems.
Strong knowledge of Git, CI/CD, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
Mandatory recent experience (within the last 12 months) with Agentic SDLC or AI-assisted software development.
Hands-on experience with Claude Code, Cursor, GitHub Copilot (Agent Mode/Workspace), Codex, Devin, Aider, Cline, Windsurf, or similar AI coding tools.
Experience applying AI across multiple SDLC stages, including design, code generation, code review, testing, debugging, and documentation.
Good understanding of LLMs, Prompt Engineering, Context Engineering, MCP, AI code quality, and AI-assisted development workflows.
Strong leadership, mentoring, and stakeholder management skills.

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