insightrx
Senior Software Engineer Full-stack
At a Glance
- Location
- Remote
- Work Regime
- remote
- Posted
- 2026-07-16T15:51:11-04:00
Key Requirements
Required Skills
Domain Knowledge
- Healthcare
Requirements
Strong professional experience building production level full stack web applications, comfortable owning features from database to UI.
Strong TypeScript skills across both frontend (React) and backend (Node.js/NestJS) contexts.
Experience designing REST APIs, relational data models (PostGresSQL, MongoDB), and authentication/authorization flows.
Familiarity with message-queue or event-driven architectures (SQS, similar).
Comfort reading and reasoning about systems that integrate with LLMs — understanding agent/tool patterns, prompt-driven workflows, and the practical quirks of working with LLM output, even without deep AI/ML research background.
Strong problem-solving, ownership, and ability to debug across web applications and nondeterministic AI behavior.
Responsibilities
InsightRX is looking for a Full Stack Engineer to help build our Astra AI platform — a system that combines a modern web application with conversational AI agents to support pharmacokinetic/pharmacodynamic (PK/PD) analysis and clinical trial data workflows.
You'll work across the client, server, and agent layers, understanding how they fit together end to end: how the frontend talks to the API, how the API queues and tracks work, and how LLM-powered agents process data and return results.
This is a strong fit for someone who enjoys working across the stack, is comfortable navigating both traditional web application architecture and newer LLM-agent design patterns, and wants to build tools used directly in pharmaceutical R&D decision-making.
Build and maintain features across our React/TypeScript client and NestJS/TypeScript backend, including UI components, REST APIs, and the data layer connecting them.
Design and extend the client-server architecture: state management, routing, authentication (including SSO/SAML), real-time updates via WebSockets, and background job processing via AWS SQS.
Collaborate on the integration layer between the web app and our LLM-based agents — message schemas, queue-based communication, and file/data handoff.