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Weekday AI

Backend & AI

Bengaluru
Level
Mid

Not stated in the posting: salary, work type, visa.

Open. First seen 2 October 2026.

Apply on the company's site →

What this role asks for

Particular to this role

Machine Learning · Node.js

Rare in Weekday AI's other 299 open postings.

Standard for backend roles

Python

Common in backend postings at any company.

Read against Weekday AI's other open postings on this site.

The team: Weekday's Client via platform HIRES STEADILY

This role is one of 215 open in Weekday's Client via platform. 106 were posted in the last 30 days and the oldest in September: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Python (75 of 215), CI/CD (62 of 215), AWS (58 of 215), SQL (58 of 215), Azure (49 of 215), GCP (39 of 215), LLM (39 of 215)

OTHER ROLES ON THIS TEAM

From the team and dates on Weekday AI's own job board.

About the role

This role is for one of Weekday’s clients
Salary range: Rs 1800000 - Rs 2800000 (ie INR 18 - 28 LPA)

Min Experience: 1+ years
Location: Bengaluru
JobType: full-time

You'll own backend systems end to end, with no layer of process between you and what ships.

Requirements

What you'll do

  • Build and own backend services powering personalised daily guidance for 1M+ MAUs (moving to 10M+ in under 6 months)
  • Ship AI/ML features into production: voice agents, chat systems, recommendation and memory engines
  • Design systems that hold up under real user load

Must have

  • Strong Python and Node.js
  • Production AI/ML experience
  • Track record of automating key workflows and owning systems solo

Big plus

  • Founding engineer at a fast-growing startup
  • Built and shipped with limited guidance, ran your own stack
  • Workflow automation experience (n8n or similar)

You'll fit if
You default to ownership, move without waiting for direction, and want to build in a space that's culturally deep and technically unsolved.

Must-have skills

Python, NodeJS

Good-to-have skills

Backend Engineering, Machine Learning

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