Spec Engineering Lead

Rubiscape’s 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.

·         Define and own Rubiscape’s 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 team’s 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.

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

·         Familiarity with Rubiscape’s 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.

Rubiscape is India’s 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.

·         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.