Senior Full-Stack Engineer — Agentic AI & Data

Location: India / United States
Experience: 5+ years
Core Stack: Python, TypeScript/React, SQL

About Orcana

Orcana is building the decision intelligence layer for life sciences.

Pharma companies have enormous amounts of claims, prescription, patient journey, engagement, and commercial data — yet answering an important new business question can still take days or weeks and involve multiple analysts, data scientists, and consultants.
We’re changing that.

Orcana combines agentic AI with rigorous analytics to help teams reason across complex datasets, investigate problems, run analyses, measure causal impact, and turn data into decisions.
We’ve bootstrapped Orcana from an idea into an enterprise-grade product already being used on real commercial problems in life sciences. We’re a very lean team with high revenue per user, growing customer demand, and are now building out the engineering team for our next phase.

The Role

We’re looking for an exceptional engineer who wants to work at the intersection of agentic AI, data systems,



and enterprise software.

This is not a role where you own one narrow layer of the stack — and it is definitely not about wrapping an LLM in a chat interface.

You’ll work across the product, with particular focus on the intelligence layer that powers Orcana:
Production AI agents and multi-agent systems
Tool use, subagents, context, and memory
Long-running and stateful agent workflows
Evaluation, observability, and reliability
Deterministic analytical and data-science workflows
Data infrastructure and APIs
Product experiences for interacting with complex analytical systems

You’ll take problems from data → backend → agents → product → production.

What We’re Looking For
5+ years of robust software engineering experience
Excellent Python and strong backend engineering fundamentals
Strong TypeScript / React experience
Strong SQL and ability to work comfortably with large, complex datasets
Hands-

📌 Founding Engineer (India)
🏢 Orcana-AI
📍 India