Argon AI · 4 months ago
Senior / Staff Software Engineer, Product (Full Stack)
Argon AI is an innovative company focused on transforming the biopharma industry through AI-powered solutions. They are seeking a Senior / Staff Software Engineer to build AI products for life sciences, focusing on distributed systems and user interaction with AI-native infrastructure.
Artificial Intelligence (AI)B2BBiotechnologyEnterprise SoftwareTherapeutics
Responsibilities
Own systems end-to-end. Design, build, and operate distributed services that power our AI agents, retrieval, and workflow orchestration
Work closely with the rest of the team to deeply understand workflows, develop user-journeys, and build an intuition around user problems and hypotheses for solving those needs
Think deeply about the future of human and AI interaction and how AI will behave and feel in professional settings
Build on top of the Argon platform using TypeScript, React component libraries, and a AI-native backend to bring designs and product vision to life
Iterate quickly on frontend and create tight iteration loops by collecting signals on what is working and what isn’t across the product
Conduct thorough code reviews, raise the quality bar, and establish taste/standards/best practices across testing, style, and documentation
Mentor junior engineers, pair program, run design walkthroughs, and help others level up
Qualification
Required
5+ years of professional software engineering experience, including leading projects from design to production
Fullstack experience. You are familiar with our stack (React, TypeScript, NodeJS, PostgreSQL and Python)
Have designed and operated distributed systems with asynchronous workflows, concurrency, and eventual consistency
Are fluent with Kubernetes and AWS primitives (SQS/SNS, S3, IAM, VPC)
Care deeply about code quality, maintainability, and developer ergonomics; you set standards and hold the line through code reviews and tooling
Have product instincts and empathy for users; you balance shipping fast with building the right abstractions
Have experience or is interested in working with AI native systems, orchestrating concurrent LLM streams, and prompt engineering
Preferred
Kubernetes
Node.js
Python
React
Distributed Systems
PostgreSQL
Benefits
We are happy to help cover moving and other related expenses.
Company
Argon AI
Argon AI: Automating life sciences activities in clinical and commercial settings.
Funding
Current Stage
Early StageTotal Funding
$11.52MKey Investors
Y Combinator
2025-07-02Seed· $5.5M
2024-06-13Seed· $5.51M
2024-04-03Pre Seed· $0.5M
Recent News
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