AI Development Toolchain Engineer

The speed at which Rubiscape ships is a product decision, not just an engineering one — and the AI Development Toolchain Engineer is the person who builds the infrastructure that makes every engineer on the platform faster. In this role, you will design, build, and operate the internal AI-assisted developer platform: the custom agents, IDE integrations, CLI tools, spec-to-code pipelines, and CI/CD hooks that encode Rubiscape’s AI-first engineering methodology into repeatable, automated workflows. You are the force multiplier behind the force multipliers — building the systems that help Rubiscape’s engineers leverage LLMs safely, consistently, and at the quality bar that Fortune 500 enterprise customers demand.

·         Architect and build Rubiscape’s internal AI developer platform: custom LLM agents, IDE plugins (VS Code, Cursor), CLI tools, and spec-to-code automation pipelines integrated into the engineering workflow.

·         Design and maintain the CI/CD hooks that run AI-assisted code review, spec compliance checks, and automated test generation as part of every pull request pipeline.

·         Build the infrastructure for prompt versioning, agent configuration management, and LLM call logging to ensure reproducibility and auditability of AI-generated code.

·         Collaborate with Spec Engineering and Prompt Engineering teams to operationalise prompt libraries and spec templates as callable, versioned services within the developer toolchain.

·         Evaluate and integrate best-in-class external AI developer tools (GitHub Copilot Enterprise, Cursor, Codeium, custom OpenAI/Anthropic integrations) and adapt them to Rubiscape’s platform architecture and security requirements.

·         Define and monitor toolchain performance metrics: AI code acceptance rate, spec-to-PR cycle time, automated test coverage delta, and developer satisfaction scores.

·         Document toolchain architecture, onboarding guides, and runbooks so the full engineering org can adopt AI-assisted workflows with minimal friction.

·         Experience building VS Code extensions, Language Server Protocol (LSP) integrations, or other IDE tooling that surfaces AI assistance directly in the developer’s workflow.

·         Familiarity with LangChain, LlamaIndex, or multi-agent orchestration frameworks used to build complex, stateful AI coding agents.

·         Prior work at a platform engineering, developer experience (DevEx), or internal tools team at a high-growth SaaS company.

·         Knowledge of enterprise security and compliance requirements (SOC 2, ISO 27001) as they apply to LLM API usage, data residency, and code confidentiality.

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.

·         4+ years of software engineering or platform/DevOps engineering experience, with at least 1–2 years building or operating internal developer platforms, CLI toolchains, or developer productivity systems.

·         Strong Python and/or TypeScript skills; demonstrated experience building production-grade automation scripts, developer tools, or engineering platform components.

·         Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or equivalent) into automated workflows, including prompt management, response parsing, and error handling.

·         Solid understanding of CI/CD systems (GitHub Actions, GitLab CI, or Jenkins) and the ability to design and implement custom pipeline steps and quality gates.

·         Experience with containerisation (Docker, Kubernetes) and cloud infrastructure (AWS, Azure, or GCP) relevant to deploying and scaling internal toolchain services.

·         B.E. / B.Tech in Computer Science, Software Engineering, or a related discipline.