Live opening · Posted 1 day ago

Software Engineer

Catalysts · Bengaluru, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyCatalysts
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
SourceLinkedin
Listed1 day ago

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About the role

Description supplied by the original job listing.

Software Engineer (Full-Stack + AI)
Company: Compass · Experience: 1–2 years · Location: Bengaluru · On-site · Full-time
About the role
We’re looking for a junior full-stack Software Engineer who is comfortable building across the product — React dashboards, Node.js services, PostgreSQL databases, and AI/LLM features.
This is a good early-career opportunity for someone who has already built features end-to-end and has some hands-on experience with LLM APIs. They’ll get to work on real production systems while growing into deeper areas like database design, architecture, and production AI with support from senior engineers.
What you’ll do
Frontend: Build dashboards, configuration screens, and charts using React, Vite, and TypeScript
Backend: Work on Node.js/Express APIs, jobs, and workers; integrate with GMC, Google Ads, GA, Meta, SFTP, etc.
Databases: Write and optimize SQL on Postgres and BigQuery; work on schemas and migrations
AI/LLM: Build features around enrichment, title optimization, GPC classification, etc. using Claude, OpenAI, and Gemini
Architecture: Learn and contribute to system design, GCP, Cloud Run, Pub/Sub, and Cloud Tasks
Must-have
1–2 years of full-stack web development experience (strong internships/projects can also count)
React + TypeScript
Node.js + REST APIs
Good SQL/Postgres fundamentals
Some hands-on experience with LLM APIs or AI features
Good CS fundamentals and Git
Strong interest in learning and growing into architecture and production AI
Nice to have
BigQuery
LLM concepts like structured outputs, tool calling, RAG, ADK, and evals
GCP / Docker
E-commerce, GMC, Google Ads, Meta, GPC, GTIN
Playwright / Apify
Redis / Bull
Python
The detailed JD can also include the tech stack, 30/90-day and 6–12 month expectations, how we work, and application details.

Work arrangement
No

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