Senior Fullstack Engineer
Role details
Job location
Tech stack
Job description
We're looking for a fullstack engineer to build the product our customers use to configure, monitor, and interact with their AI agents. You'll own features end-to-end: from the APIs and data models to the interfaces customers use to manage their agents and understand performance.
This is a product engineering role. You'll work closely with design and product to ship features that customers actually use, iterating based on feedback and usage data. You'll need to balance polish with speed; we're a startup, so we ship fast, but the product still needs to feel good., * Agent configuration: Building the APIs and interfaces that let customers set up and customize their agents without writing code
- Analytics dashboards: Creating the data pipelines and visualizations that help customers understand how their agents are performing
- Conversation interfaces: Designing how users interact with and review agent conversations, including the backend systems that store and retrieve conversation data
- Onboarding: Taking customer conversations, policies, and API documents, and automatically translating that into a highly-effective personalized agent
As a senior fullstack engineer, you'll own features end-to-end, from database schema and API design through frontend implementation. You'll make decisions about system architecture, data modeling, and how to structure the codebase as it grows.
Tech Stack
- Frontend: TypeScript, React, Next.js
- Infrastructure: AWS, Modal, Kubernetes, Postgres
- Backend: Python (Django/FastAPI), TypeScript (Node.js)
Requirements
- Have 4+ years of fullstack engineering experience building user-facing products
- Are strong in both frontend (TypeScript, React) and backend (Python or similar), with opinions about how to structure a codebase
- Have good product instinctsyou can take a rough design and fill in the gaps, or push back when something doesn't make sense
- Care about the details that make a product feel polished, but know when to ship
- Are comfortable working across the entire stack, from database queries to delightful UI
- Want to own features, not just implement specs handed to you
- Are excited about building tools that help people work with AI
Benefits & conditions
- Competitive base + bonus + equity
- Catered lunch daily
- Dinner stipend
- $500/month wellness & commuter benefit (gym, fitness classes, mental health)
- 401(k) plan
- Medical, dental, and vision coverage