Spec Engineering Lead

":" About the Role

Rubiscapes ambition to move from BI to AI at enterprise scale demands a new discipline: Spec Engineering. As Spec Engineering Lead, you will own the methodology and practice of translating product intent into machine-executable specifications that drive AI-assisted development across all six Rubiscape studios. You will build and lead a small team of spec engineers, define the spec grammar and tooling standards used org-wide, and work directly with product, design, and engineering leads to ensure every feature shipped at Rubiscape begins with a specification that is precise, testable, and LLM-ready. This role sits at the intersection of product thinking, software architecture, and applied AI and directly determines how fast Rubiscape can compound its engineering velocity advantage.

Key Responsibilities

Define and own Rubiscapes Spec Engineering methodology: the grammar, templates, tooling, and review process that govern how functional specifications are authored and consumed by AI coding agents.

Lead a team of 2-4 Spec Engineers, setting quality standards, conducting spec reviews, and growing the teams capability in structured requirements writing and AI-first development workflows.

Partner with Product Management and UX to conduct structured requirement intake sessions, converting product briefs and user stories into unambiguous, LLM-executable specs.

Collaborate with AI Development Toolchain and Prompt Engineering teams to ensure the spec format is optimally aligned with the prompt patterns and agent configurations used in the engineering org.

Build and maintain a shared spec library: reusable spec patterns, domain-specific templates, and a versioned repository of past specs that can train and calibrate future AI agents.

Establish measurable spec quality metrics spec coverage, ambiguity rate, AI-execution fidelity and report progress to engineering leadership.

Act as a subject-matter expert on AI-driven development practices, coaching engineers across the org on how to write better specs and consume AI outputs responsibly.
Nice to Have

Direct experience with formal specification languages, structured natural language requirements frameworks (e.g., EARS, Gherkin/BDD), or model-based engineering.

Familiarity with Rubiscapes technology domain: data pipelines, AutoML, BI/analytics platforms, or enterprise AI deployment.

Prior experience scaling engineering velocity at a B2B SaaS company through process and toolchain improvements.

Published work, talks, or open-source contributions in the AI-assisted software development space.

About Rubiscape

Rubiscape is Indias leading Decision Intelligence Platform, unifying data engineering, BI, machine learning, and agentic AI in a single governed platform. Built in Pune and trusted by Fortune 500 enterprises across BFSI, manufacturing, healthcare, and government. 8 international innovation patents. 10 Industry-Academia Labs COEs. From BI to AI One Platform. Every Decision.

Requirements Requirements

7+ years of experience in software engineering or technical product management, with at least 2 years focused on AI-assisted or spec-driven development methodologies.

Demonstrated experience writing high-precision functional specifications or technical requirements documents for complex enterprise software systems.

Strong understanding of LLM capabilities and limitations in code generation contexts, including prompt sensitivity, hallucination patterns, and context window management.

Proven leadership experience: ability to build, mentor, and set technical direction for a small specialist team.

Excellent written communication skills this role produces artefacts that must be interpreted by both humans and machines without ambiguity.

B.E. / B.Tech or M.Tech in Computer Science or Software Engineering; MBA with strong technical background also considered.

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