Associate Software Engineer – Fresher

Overview

Make the system for AI-First Enterprises

AI technology enables AI-First organizations. RevInsight is building an Intelligent Agent System that powers AI-First organizations. This platform features:

• unified data for rapid and cost-effective construction of enterprise data warehouses,
• insights (pipeline scores, account health, churn signals, territory optimization, revenue forecasts, etc.) and data visualizations that make sense of the floods of data, and
• intelligent workflows that drive significant business growth and profitability.

Why start your career at RevInsight

Most early-career engineers spend their first two years fixing bugs and handling tickets on legacy systems. Everyone uses LLMs for coding and analytics. But do you learn to guide the LLM as a co-creator and concept-owner or do you end up as an LLM-follower? At RevInsight you will be creating an AI-Era platform, working side-by-side with senior engineers who use a spectrum of AI technologies (including LLMs) to build world-class software to run organizations reliably and intelligently.

We’re looking for a top-tier Software Engineer to join our team in Bangalore. Do you have what it takes?

• The talent, initiative, and tenacity needed to build something fundamentally new?
• Skills in data science, python, & SQL, that you continually improve?
• Passion for building intelligent systems that leverage data to drive business innovation?

If so, you would get a start in one of the fastest-growing spaces in enterprise software: Decision Intelligence. This is not just another engineering role: it’s an opportunity to build an industry-defining system. You’ll play a crucial role in empowering our clients with data-driven insights, optimizing their strategies, and unlocking intelligent automation with our cutting-edge platform.

What You’ll Do

Design, build, deploy, and improve the RevInsight Intelligent Agent System.

• Innovate: work with customers to create analyses and intelligent workflows. Understand how each customer’s business works. Define the decisions needed. Develop decision intelligence to improve business performance. Work with the customer and in-house team to drive from idea to adoption to results. Onboard users and integrate data sources.
• Automate: Develop and implement data analytics. Define and build data warehouses and data pipelines. Define metrics. Build intelligent automation agents, reports, and dashboards. Develop predictive, prescriptive, and diagnostic analytics. Track and improve data quality.
• Evolve: assess value realization, evaluate model performance, and make the system learn and evolve systematically.

What We’re Looking For

Education

• Bachelor’s degree in computer science
• Minors in data science, operations research, statistics, or industrial engineering are beneficial

Required Skills: Python, SQL, & Data Analytics

• Python: clean, working code without referring to tutorials for basics
• SQL: SELECT, JOIN, GROUP BY, subqueries, etc.
• Data Analytics: distributions, metrics, forecasting, etc.

Additional Points

• Projects or open-source contributions that show you build things
• JavaScript, TypeScript, React, HTML, CSS, etc.
• Optimization using LP or MILP
• Analytics with MS-Excel.