Staff Full-Stack Engineer - AI for Science - Bay Area

Brilliantin Recruitment; San Francisco (CA); Hybrid; USD 180,000 - 260,000; Full time

Job summary

Confidential AI Company in the San Francisco Bay Area is hiring two Staff Full-Stack Engineers to merge a system‑of‑record with an agentic AI layer. You’ll own features from spec through iteration in a hybrid role with 3 days in the office, shipping full‑stack systems for scientists and AI interactions.

You will design scalable, secure, production‑grade architectures and collaborate with product, design and customers to set new AI‑driven development standards.

Qualifications

• 6–10 years of full‑stack engineering across React, TS and Python.
• Staff‑level scope with architecture ownership and leadership.
• Shipped AI or agent features to real users using streaming or tool calls.

Responsibilities

• Build the core app end to end: data model, TS/NestJS backend and React frontend.
• Make UI agent‑operable with dynamic views and guided workflows.
• Integrate system‑of‑record with agentic AI layer in a GxP environment.
• Design scalable enterprise features with secure access control and migrations.

Skills

React

TypeScript

Python

Node.js

NestJS

Flask

Tools

DynamoDB

Databricks

Flask

Job description

Staff Full-Stack Engineer - AI for Science

East Bay, San Francisco Bay Area (hybrid, 3 days in the office)

I'm working with a well-funded, venture-backed AI company of around 200 people that's building an AI platform for chemical and materials R&D. Scientists in 30+ countries use it every day to design, run and analyse their experiments - and to work alongside AI. The company name is confidential for now, and I'll share it when we speak.

They're hiring two Staff Full-Stack Engineers to help merge their system of record with an agentic AI layer, so that scientists and AI work together in the same interface. It's genuinely new work - the team often ends up teaching vendors how to build AI-native products.

What you'll do

• Build the next generation of the core application end to end: data model, TypeScript/NestJS backend and React frontend
• Make every part of the UI agent-operable, with dynamic views that agents can fill in, add recommendations to and walk scientists through
• Connect the system-of-record product with the agentic AI layer in a GxP environment
• Design enterprise-grade systems: permission-based access control, zero-downtime scaling and migrations with no data loss across DynamoDB, Databricks and Python Flask services
• Own features from spec to iteration with product, design and customers, and set the standard for AI-driven development on the team

What you'll bring

• 6-10 years as a full-stack engineer across React, TypeScript and Python (Node.js, NestJS or Flask)
• Product engineering experience at a high-bar AI or developer-tools company
• Staff-level scope - you've set the architecture for a product area or led other engineers from spec through iteration
• You've shipped an AI or agent feature to real users, using streaming, tool calling, evals or retrieval
• Real full-stack ownership, not limited to frontend or backend

Nice to have: experience with agentic UI generation, a strong academic background, and an interest in science.

The process: a 30-minute hiring manager chat, a 90-minute online coding assessment, a 60-minute system design interview, then a half-day on-site in the East Bay.

Bay Area preferred, with relocation for exceptional people.