Senior Full Stack Engineer for AI Infrastructure

Chrysalis AE — Building Ethical Identity Infrastructure for the Human Internet

We’re building the trust layer for AI-native systems: the infrastructure that lets technology adapt to people without exploiting, storing, or surveilling them. Our work sits at the intersection of privacy, consent, and adaptive intelligence, and every part of our architecture is designed to protect the person first.

We’re looking for a Senior Full Stack Engineer who can help us build our backend AI infrastructure focusing on security layers, SDK’s and API’s. You’ll be building the surfaces where our philosophy meets the user.

You’ll join early, work closely with our founder, engineering, and product, and help build models that define what ethical, user-owned identity looks and feels like in practice.

We’re looking for a Senior Full-Stack Engineer who can build, ship, and own major product features, end-to-end, and OAuth/OIDC security layers across a modern Next.js + React frontend and a FastAPI + PostgreSQL backend. You’ll be working in an early, fast-moving environment — meaning you’ll help shape architecture, implement features with a high degree of autonomy, and collaborate directly with founders, design, and product.

Our stack includes Next.js, React, TypeScript, FastAPI, SQLAlchemy, PostgreSQL, Docker, GCP Cloud Run, and GitHub Actions.

We need someone senior enough to take a lightly defined feature and design + implement the full slice— frontend, backend, database, deployment, and testing — with little technical guidance.

Reports to: Founder & CEO, Chrysalis AE

Full-Stack Feature Ownership

• Architect and implement end-to-end features across the Next.js TypeScript frontend and FastAPI backend.
• Build new API endpoints, database models, and migrations using SQLAlchemy + Alembic.
• Build Security layers using OAuth/OIDC.
• Build frontend UI using React, Shadcn/UI, Tailwind, and the Next.js App Router.
• Integrate frontend flows with backend APIs (Axios client, Zod validation, Firebase auth).

Core Engineering Responsibilities

• Improve overall architecture — component design, API boundaries, service modularity.
• Write high-quality, maintainable code and tests (pytest, Jest).
• Own database modeling: designing schemas, writing secure queries, ensuring performance.
• Manage asynchronous jobs using Google Cloud Tasks where applicable.
• Work within a containerized environment: Docker Compose locally, Cloud Run in production.
• Support CI/CD pipelines and help improve deploy reliability (GitHub Actions).
• Participate in code reviews and raise the engineering bar for the team.
• Help define best practices for a modern full-stack application.

Autonomy + Leadership

• Identify missing requirements and clarify product decisions without waiting for direction.
• Break down ambiguous features into actionable milestones.
  Make pragmatic tradeoffs balancing speed, quality, and long-term maintainability.
• Collaborate directly with founders and designers; propose technical and UX improvements.

Requirements

• 5+ years of professional experience building full-stack web applications.
• Python (FastAPI preferred; Flask/Django acceptable)
• Privacy-first with OAuth/OIDC and MCP
• Building SDKs
• SQL and relational data modeling (PostgreSQL strong preference)
• SQLAlchemy or similar ORM
• REST API design
• React + TypeScript
• Next.js (App Router, API integration, SSR/ISR understanding)
• Ability to take vague product requirements and turn them into production-ready features with little guidance.
• Comfort working in fast-moving environments, shipping quickly, and iterating with founders and designers.
• Excellent communication and autonomy while collaborating in a remote-first team.
• Strong English speaking skills

• Firebase Auth (used in our frontend)
• GCP Cloud Run, Cloud SQL, Cloud Tasks
• Alembic migrations
• Testing frameworks (pytest, Jest)
• Shadcn/UI or Radix UI
• Async Python (asyncpg, async SQLAlchemy)
• Experience in early-stage startup environments or on 0→1 projects.
• Comfort working heavily with LLM tools (Claude Code, Cursor, Copilot) for speed and iteration.

Benefits

Why Join

• This is an early, ground-floor role with the opportunity to help shape the foundational infrastructure for adaptive AI.
• Work directly with the Founder on a project positioned as the next layer of AI infrastructure.
• If you thrive on solving hard problems and building what doesn’t yet exist, this is that chance.

Details

• US-based company
• Remote-first, flexible
• Full-time contractor position
• Equity + compensation negotiable