Senior / Staff Software Engineer, Product (Full Stack) jobs in United States
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Argon AI · 4 months ago

Senior / Staff Software Engineer, Product (Full Stack)

Argon AI is on a mission to transform how life-changing therapies are brought to patients by building an AI operating-system for biopharma companies. They are seeking a Senior / Staff Software Engineer, Product to develop AI products for life sciences, focusing on distributed systems and user interactions.

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

Fullstack experienceDistributed systems designKubernetesAWS primitivesTypeScriptReactNodeJSPostgreSQLPythonCode qualityUser empathyAI native systemsMentoring

Required

Have 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

Benefits

We are happy to help cover moving and other related expenses.

Company

Argon AI

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Argon AI: Automating life sciences activities in clinical and commercial settings.

Funding

Current Stage
Early Stage
Total Funding
$11.52M
Key Investors
Y Combinator
2025-07-02Seed· $5.5M
2024-06-13Seed· $5.51M
2024-04-03Pre Seed· $0.5M
Company data provided by crunchbase