Senior Software Engineer Full-stack

InsightRX | Engineering

About the Role

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.

What You'll Work On

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.

Work with our conversational AI agent system, which orchestrates multiple specialized agents for statistical modeling, data quality checks, and PK/PD analysis workflows.

Contribute to database schema design and migrations (PostgreSQL/Sequelize), API documentation (Swagger), and test coverage (Jest, pytest).

Participate in code review, architecture discussions, and production support across the stack.

What We're Looking For

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.

Uses Claude Code, Codex, or similar AI coding tools effectively while understanding, validating, and taking responsibility for the resulting code.

Good instincts for reliability and correctness in domains where data quality matters — you ask "what happens when this fails or the data is malformed."

Clear communicator, comfortable working across an evolving codebase with detailed technical documentation.

Operate with a high level of independence and cope with ambiguity

Nice to Have

Experience with LLM agent architecture a plus

Experience with SAML SSO, multi-tenant systems, or healthcare/life-sciences software.