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Rubiscape Private Limited

AI-Augmented Software Engineer

Posted 10 Hours Ago
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In-Office
Pune, Maharashtra, IND
Mid level
In-Office
Pune, Maharashtra, IND
Mid level
Design and ship production software across Rubiscape’s Decision Intelligence Platform using AI-assisted, spec-driven development. Responsibilities include translating functional specifications into implementation tasks, pairing with LLM coding tools, validating AI-generated code and tests, participating in AI-assisted reviews, creating prompt and agent patterns, monitoring production code quality, and collaborating with prompt and specification engineering teams.
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About the Role

At Rubiscape, software engineering is being reimagined from the ground up. As an AI-Augmented Software Engineer, you will work at the frontier of AI-assisted development, using LLM-powered pair-programming, spec-driven workflows, and intelligent code review tools to ship production-grade features across our six-studio Decision Intelligence Platform at speeds previously impossible. You will help establish the engineering culture and toolchain patterns that allow Rubiscape to deliver 3× faster pipelines and <90-day production use cases to Fortune 500 customers. This is not a role for prompt-curious hobbyists — it is for engineers who see AI as a force multiplier and want to build the systems that India’s enterprises run on.

 

Key Responsibilities

·         Design and implement features across RubiFlow, RubiStudio, RubiSight, and RubiAI studios using an AI-first, spec-driven development workflow.

·         Pair with GitHub Copilot, Cursor, and custom internal LLM agents to accelerate code generation, refactoring, and test coverage without sacrificing code quality.

·         Translate structured functional specs into implementation plans, breaking ambiguous requirements into verifiable, AI-executable tasks.

·         Participate in AI-assisted code review cycles: generating review prompts, interpreting LLM feedback, and validating AI suggestions against platform architecture standards.

·         Contribute to the internal developer toolchain by writing prompt templates, agent configurations, and reusable spec patterns for common engineering scenarios.

·         Instrument and monitor AI-generated code in production, identifying drift patterns and feeding learnings back into the spec and prompt library.

·         Collaborate with Prompt Engineering and Spec Engineering teams to continuously raise the baseline quality of AI-assisted outputs across the engineering org.

Nice to Have

·         Familiarity with LangChain, LlamaIndex, or similar LLM orchestration frameworks used in production settings.

·         Experience contributing to or maintaining an internal developer platform, CLI toolchain, or shared engineering standards library.

·         Exposure to data engineering or analytics engineering workflows (dbt, Apache Spark, Airflow) relevant to the RubiFlow studio.

·         Prior experience at a B2B SaaS or enterprise platform company serving regulated industries (BFSI, manufacturing, healthcare).

 

 

 

About Rubiscape

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.



RequirementsRequirements

·         3+ years of software engineering experience in Python, TypeScript, or Java, with at least 1 year of hands-on AI-assisted development using Copilot, Cursor, or similar tools.

·         Proven ability to write precise, structured functional specifications that can be consumed reliably by LLM coding agents.

·         Strong understanding of REST API design, microservices architecture, and cloud-native deployment patterns (AWS, Azure, or GCP).

·         Experience with test-driven development and the ability to write and validate automated tests for AI-generated code.

·         Comfortable working in a fast-paced environment where methodologies are evolving and self-direction is expected.

·         B.E. / B.Tech in Computer Science, Information Technology, or a related engineering discipline.



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