Experience: 3–5 years

About the role

We're building an AI-powered intelligence platform for C-suite management — turning raw data into action instead of static reports. It pairs domain expertise across Indian manufacturing set up with AI-generated insights to surface what matters most, right where the user can act on it. You'd be joining as we take this from a working build toward our first phase of the project on our pathway to creating business value implying the power of data enabled intelligence and inferences.

What you'll actually do
Design and build the Postgres schema for a multi-tenant financial product (clients, transactions, invoices, computed metrics, audit logs) — and get the access-control model right, since this is financial data
Build the backend API (Node.js/Fastify or Python/FastAPI) for the performance dashboard deployment using real time, queried data
Port document-parsing logic (PDF/JSON ingestion of documents/scans/images to run server-side, reliably, on upload
Deploy and operate the infrastructure: Railway/Render, Supabase/Postgres, Cloudflare, secrets management — you're the one who gets paged if something goes down




Build and harden an AI proxy layer (calling Claude/Anthropic's API) with per-client rate limiting and cost controls — the key never touches the frontend
Set up CI/CD, staging settings, and basic monitoring (Sentry, uptime checks) from week one, not as an afterthought

You should have
3+ years building and shipping backend services in production, not just in tutorials
Real experience with a relational database (Postgres strongly preferred) — schema design, migrations, query performance
Comfort deploying and owning infrastructure yourself (Railway, Render, AWS, or GCP) — you don't need a dedicated DevOps team to get something live
Experience with API design and auth/access-control patterns, ideally in a multi-tenant context
Solid instincts around secrets management and not committing credentials to git (yes, this needs to be said)

Nice to have
Experience integrating LLM APIs (Anthropic, OpenAI) in a production backend
Exposure to fintech, accounting, or any regulated-data domain

📌 Machine Learning Ops Engineer Bengaluru
🏢 Envision For Good
📍 Bengaluru