Senior Java AI-Enabled Engineer

Who Is InRhythm?

InRhythm is a leading modern product consultancy and digital innovation firm with a mission to make a dent in the digital economy. Founded in 2002, InRhythm is currently engaged by Fortune 50 enterprises to bring their next generation of digital products and platforms to market. InRhythm has helped hundreds of teams launch mission-critical products that have created a positive impact worth billions of dollars.

InRhythm’s unique capabilities in Product Innovation and Platform Modernization are among the most sought-after. The InRhythm team of A+ thought leaders don’t just “get an assignment”; they join the company to do what they love. That passion has helped us grow rapidly and consistently deliver on our commitment to helping clients develop better, faster, and in rhythm.

What We Do At InRhythm

We bring enterprises’ most urgent, important products to market with high velocity, high quality, and 10x impact. We enable innovative cultures by coaching teams with the right mix and maturity of modern tools, methods, and thought leadership.

This is a unique opportunity to get in on the ground floor of an evolving, AI-native team. InRhythm clients include a broad range of highly visible and recognizable customers, including, but not limited to:

• Goldman Sachs
• Fidelity
• Morgan Stanley
• Mastercard

From greenfield to tier-one builds, our clients look to us to deliver mission-critical projects in product strategy, design, cloud-native applications, and mobile and web development. Increasingly, we deliver them through AI-native engineering, where agents, reusable skills, and GenAI tooling are part of how software gets built, not an add-on.

We Are Looking For a Senior Java AI-Enabled Engineer

As a Senior Java AI-Enabled Engineer, you will join a fully AI-native pod to design and build high-performance Java services for large enterprise clients, while pioneering AI-assisted engineering workflows. You won’t just use AI tools. You will build reusable skills, orchestrate agents to handle boilerplate, and show the team and our clients what AI-accelerated delivery looks like in practice. This is an opportunity to review an already-built library of 500+ reusable AI skills, where you will both draw on it and add to it.

At InRhythm, you will:

• Work on a high-velocity, AI-native scrum team
• Develop and own features end to end in Java and Spring Boot, from design through production
• Architect and implement scalable, high-throughput Java applications and integration middleware
• Create, refine, and share AI skills that capture team best practices, and use existing skills to accelerate delivery
• Use AI agents to handle boilerplate and repetitive engineering work, freeing the team for higher-value design and problem solving
• Demonstrate AI value to teammates and clients through live demos, measurable cycle-time gains, and clear before/after comparisons
• Maintain 90% unit and integration test coverage using AI-generated testing frameworks
• Optimize code review latency with AI-generated summaries and risk flags
• Work with clients to turn real-world problems into solutions, acting as a trusted advisor rather than just an implementer
• Provide estimates and milestones for features and stories
• Help the team lead facilitate development processes
• Work with your mentor to learn and grow, and mentor less experienced engineers
• Contribute to the growth of InRhythm through interviewing and architecting

What You Bring to the Table (Core Requirements)

• 5–8 years of Java development building and shipping production-grade applications within an enterprise-level domain
• Strong Java skills: Java 8 (11+ preferred), including lambda expressions, Stream API, CompletableFuture, asynchronous programming, and multithreading
• Deep experience with Spring and Spring Boot, including implementing APIs and microservices
• Direct experience using GenAI tooling (e.g., Claude Code, GitHub Copilot, Amazon Q) in a professional engineering environment
• Hands-on experience creating and using AI skills (reusable, packaged instructions and workflows) and directing AI agents to generate boilerplate and automate routine engineering tasks
• Proven ability to drive high test coverage and automated quality, with a track record of zero critical defects and clean code reviews
• Solid understanding of relational databases and SQL
• Experience with systems design, CI/CD pipelines, and production operations at the service level
• Cloud …