AI Full Stack Engineer

InRhythm

Dallas, TX, USA

Published: 6/14/2022

Technology

Full Time

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 Full Stack Engineer, you will work fluidly across Java/Spring Boot and Angular, using

Claude as your primary coding partner to implement, test, and refine 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 craftsperson 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 throughput 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 Java/Spring Boot services and Angular front-end features 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 JUnit/Mockito unit tests, Spring integration tests, and Jasmine/Karma Angular tests 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 handoff through production deployment, including CI/CD pipeline validation, SAST finding remediation, and post-deploy verification.

What You Will Bring

Must Have Experience:

Java & Spring Boot Proficiency: 5+ years of production Java development with solid understanding of Spring MVC, Spring Data JPA, Spring Security, and RESTful API design.
Angular Proficiency: 5+ years building Angular applications, comfortable with TypeScript, RxJS, component architecture, reactive forms, and Angular CLI.
AI-Augmented Development Experience: Demonstrable experience using AI coding agents (Claude Code, 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, ECS, RDS, S3, API Gateway, and CloudWatch.
Code Review Rigor: Ability to identify subtle bugs, security vulnerabilities, and anti-patterns in AI-generated Java and TypeScript code.

Nice to Have Experience:

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 for Java/Spring applications.
Exposure to BDD/Gherkin specification formats and their relationship to test automation.
Experience in an enterprise financial services or similarly regulated codebase.
Familiarity with Cypress or Playwright for E2E testing of Angular applications.

The InRhythm Consultant

At InRhythm, we are more than technical executors. As a member of the AI-DLC practice, every

consultant 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.

Benefits

At InRhythm, we believe in building a better workplace. When you join our team, you can expect

a number of work/life benefits