Job Title : AI Solution Owner / AI Product Owner / AI Technical Product Manager.

Location : Sattva Magnificia, Old Madras Road, Bangalore.

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 Solution Owner, you will be the engine behind the pods delivery velocity, sitting at the intersection of business requirements and AI-augmented engineering. You will translate product intent into precisely structured specifications that Claude can act on with minimal ambiguity. This is a uniquely technical business role: part product owner, part prompt engineer, part delivery lead.

Your Impact :

The velocity and accuracy of the entire AI-DLC pod depends on the quality of your specifications. Poorly structured requirements produce mediocre AI output. Your work directly determines how much rework engineers face, how fast features reach production, and how well the agentic pipeline scales as the practice grows. Every spec template, prompt pattern, and context pack you create will become reusable intellectual property for the firm.

What You Will Do :

- Own the Spec Pipeline : Author, maintain, and continuously improve the structured feature specifications that Claude uses to generate code, covering backend APIs, data models, service contracts, and acceptance criteria.

- Design Spec Templates : Build and evolve reusable specification templates aligned to the Node.js/Java stack, ensuring they surface the context Claude needs including domain model, existing patterns, constraints, and edge cases.

- Manage the AI-DLC Workflow : Iterate on the end-to-end AI-DLC pipeline from spec ingestion through Claude code generation, human review, and merge governance.

- Maintain Codebase Context Packs : Own and update the architecture documents, coding convention guides, glossaries, and domain model summaries that are injected into Claudes context window.

- Prioritize AI-Suitable Work : Assess the feature backlog for agentic suitability, identifying which features Claude can lead on, which require more human involvement, and why.

- Measure and Improve : Track agent output quality metrics including rework rate, review cycles, and test pass rates, and use data to improve spec quality and prompt patterns.

What You Will Bring :

Must Have Experience :

- Structured Specification Authoring : Demonstrated ability to write precise, unambiguous feature specifications using BDD/Gherkin, frontmatter markdown, or equivalent formal formats.

- AI Prompt Engineering : Hands-on experience crafting and refining prompts for LLMs (Claude, GPT, or similar) in a software delivery or product context.

- Technical Product Ownership : 8+ years in a BA, product owner, or technical PM role working closely with software engineering teams on complex enterprise applications.

- Node.js/Java Backend Literacy : Sufficient technical depth to understand API contracts, service boundaries, data models, and backend conventions across Node.js and Java to write specs engineers and Claude can act on directly.

- Analytical Rigor : Ability to decompose complex business requirements into discrete, testable, machine-readable specifications.

Nice to Have Experience :

- React/Frontend Literacy : Understanding of React component structure, routing, and state management sufficient to spec UI features when needed.

- Experience building or maintaining prompt libraries and agent workflow tooling.

- Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks at a conceptual level.

- Background in enterprise financial services, asset management, or other regulated domains.

- Experience with context window management strategies for large codebases.

- Exposure to RAG (Retrieval-Augmented Generation) or compressed context file concepts as applied to codebase documentation.

Compensation :

This role aligns with InRhythms standard salary bands for Lead Engineers. Specific compensation will be calibrated based on technical depth and experience level.

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 connect business requirements to engineering execution and to see how spec quality drives delivery velocity.

- Clarity and Ownership : Taking full responsibility for spec quality and communicating trade-offs between agentic automation and manual implementation.

- Stakeholder Alignment : Building trust with both technical and non-technical stakeholders by ensuring business intent is never lost in the agentic pipeline.

- Bias to Measurable Outcomes : A relentless focus on tracking and improving the metrics that demonstrate the value of spec-driven delivery.