We're building ML-powered, data-driven omnichannel communication products for the BFSI sector — smart engagement engines, collections tools, loan lifecycle platforms. If you like clean structure and predictable sprints, this probably isn't for you. If you thrive in chaos, wear multiple hats, and want to build things that ship fast and break sometimes — read on.
What you'll do
Build and scale full-stack features across MEAN/MERN (MongoDB, Express, Angular/React, Node.js)
Write Python for scripting, automation, and integration with our ML pipelines
Work across PostgreSQL and vector databases for structured and AI-driven data needs
Design for scale — handle growing traffic, data, and system load as we expand
Own deployments and infra on AWS; build and maintain CI/CD pipelines
Work directly with founders and the core team — no layers, no bureaucracy
Own features end-to-end, from a Slack message to production
Debug live issues under real startup pressure — we move rapid and fix fast
What we're looking for
Minimum 4 - 5 years of hands-on experience with MEAN or MERN stack
Working proficiency in Python (scripting/automation; ML exposure a plus)
Experience with PostgreSQL and vector databases (Pinecone, Weaviate, pgvector, or similar)
Hands-on experience with AWS (EC2, S3, Lambda, or similar)
Experience setting up and managing CI/CD pipelines
Experience scaling applications/systems for growing load
Strong coding fundamentals — comfortable with whiteboard/live coding problem-solving
Experience on ML/AI projects will be a strong plus
Comfortable in ambiguous, fast-changing environments; startup mindset
Available to join within 15 days
Why waanee.ai:
Work at the intersection of ML and data-driven omnichannel communication
Direct access to founders and real ownership from day one A front-row seat to building something from scratch — with all the mess that comes with it