Back End Developer (AI Engineer)

Job Title: AI Back-end Engineer

Location: Bangalore, India

Work Mode: Hybrid

The InRhythm Opportunity

InRhythm is establishing a modern software engineering practice built around an AI-driven Development Lifecycle (AI-DLC) methodology — spec-driven, agentic, and powered by Claude.

As an AI Backend Engineer, you will work fluidly across Node.js and Java, using Claude as your primarycoding partner to implement, test, and refine backend features at a pace that manual development cannot match. You are not a passive consumer of AI output. You are an expert reviewer, a disciplined operator of agentic workflows, and a crafts person who holds the quality bar on everything that reaches the main branch.

Your Impact

You are where spec meets code. Your ability to rapidly iterate with Claude, catch subtle AI-generated errors, and maintain engineering discipline under delivery pressure directly determines the pod's through put and the quality of the enterprise platform you are accelerating. You represent the standard of what an AI-augmented engineer looks like, and your workflow discipline will be visible to client engineering teams.

What You Will Do:

Implement Specs with Claude:

Use agentic workflows (Claude Code or equivalent) to implement backend Node.js and Java services from structured specifications.

Review AI-Generated Code:

Critically assess Claude's output for correctness, security, performance,and alignment with existing codebase patterns. Never merge without rigorous human review.

Write and Validate Tests:

Review, extend, and where necessary write Jest/Mocha unit tests for Node.js and JUnit/Mockito tests for Java, including test output generated by or alongside Claude.

Maintain Prompt Context:

Contribute to and consume codebase context packs, coding convention documents, and prompt libraries maintained by the AI Solution Owner.

Iterate on Specs:

Flag ambiguities or gaps in specifications before agentic generation begins, saving rework cycles and improving spec quality over time.

Own Your Delivery:

Take full responsibility for features from spec hand off through production deployment, including CI/CD pipeline validation, SAST finding remediation, and post-deploy verification.

What You Will Bring

Must Have Experience:

• Node.js Proficiency: 5+ years of production Node.js development with solid understanding ofExpress/Fastify/NestJS, async patterns, middle ware design, and RESTful/GraphQL API design.
• AI-Augmented Development Experience: Demonstrable experience using AI coding agents (ClaudeCode, GitHub Copilot, Cursor, or equivalent) as a primary delivery tool, not just for autocomplete.
• Test-Driven Discipline: Ability to evaluate, extend, and own automated test suites including unit,integration, and E2E, including AI-generated test output.
• AWS Fundamentals: Working knowledge of AWS services relevant to application deployment including CDK, Lambda, DynamoDB, EKS, RDS, S3, API Gateway, and CloudWatch.
• Code Review Rigor: Ability to identify subtle bugs, security vulnerabilities, and anti-patterns in AI-generated Node.js and Java code.

Nice to Have Experience:

• React Proficiency: Experience building React applications with TypeScript, component architecture,and state management.
• Java Proficiency: Hands-on experience in production Java development with solid understanding of Spring Boot, Spring MVC, Spring Data JPA, Spring Security, and RESTful API design.
• UI Testing Frameworks: Familiarity with Cypress, Playwright, React Testing Library, or equivalent frontend testing and automation tools.
• Experience with prompt engineering for code generation tasks including context structuring, few-shot examples, and constraint specification.
• Familiarity with SAST tooling (SonarQube, Checkmarx, or equivalent) and secure coding practices forNode.js and Java applications.
• Exposure to BDD/Gherkin specification formats and their relationship to test automation.
• Experience in an enterprise financial services or similarly regulated codebase.

The InRhythm Consultant

At InRhythm, we are more than technical executors. As a member of the AI-DLC practice, everyconsultant is expected to demonstrate:

Strategic Thinking:

The ability to see the business impact behind every line of code and every agentic workflow decision.

Clarity and Ownership:

Taking full responsibility for outcomes and communicating technical trade-offs with transparency.

Stakeholder Alignment:

Building trust with client counterparts and demonstrating that agentic delivery is an elevation of engineering craft, not a shortcut.

Bias to Measurable Outcomes:

A relentless focus on delivering high-quality, high-velocity results that prove the value of AI-augmented engineering.