Senior Full-Stack Platform Engineer at Causality
- Location
- San Francisco, United States
- Compensation
- $225k-$315k + Equity
Causality is solving the central challenge of the agentic era: how can AI agents turn real-world operating experience into better decisions without requiring humans to continually rewrite their instructions? In this role, you will build the mission-critical interfaces and robust backend infrastructure that Fortune 50 enterprises use to deploy, monitor, and refine agents that learn from feedback and handle complex exceptions autonomously.
What's the next step?
Jack finds you jobs at companies like Causality. Talk to Jack to get considered for roles that fit what you're great at.
Role overview
You will build the core platform used by Fortune 50 enterprises to deploy and monitor learning agents. As a senior engineer, you’ll own full-stack features across Next.js and Python, ensuring long-running workflows are reliable and observable. Your work enables the transition from static checklists to agents that evolve through real-world experience.
About Causality
AI · 1-10 employees
Causality is building AI that learns how you judge, decide, and act. Our learning architecture captures experience, so the context behind a decision can shape the next one.
What you will do
- Design and implement customer-facing interfaces using TypeScript and Next.js for setting up workflows, managing files, and inspecting agent results.
- Develop robust backend services in Python and FastAPI to manage application data, authentication, and complex asynchronous workflows.
- Engineer reliability into long-running tasks via retries and cancellations while improving observability across a GCP-based infrastructure.
Who this is a fit for
- Proven track record of shipping production-grade web applications with deep ownership across both React/TypeScript and Python backend ecosystems.
- Extensive experience building reliable infrastructure for asynchronous background jobs, document workflows, and relational data modeling with PostgreSQL.
- Ability to thrive in an early-stage environment, turning ambiguous research goals into maintainable, enterprise-ready software for high-stakes customer workflows.
Why this role is remarkable
- Join a $5M+ seed-stage team featuring an ex-Perplexity researcher and the founding engineer of a major enterprise AI company.
- Build a novel “Causal Trajectory Learning” platform that is already being piloted by a large group of Fortune 50 enterprises.
- High-autonomy role where you shape the infrastructure for agents that actually improve with experience, moving beyond simple chat interfaces.
How Jack & Jill work together
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Causality wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.