Senior Full-Stack AI Engineer — Real-Time Observability

Traversal; New York (NY); On-site; USD 150,000 - 300,000; Full time

Benefits offered by this job

Health insurance

Startup equity

In-office snacks

Competitive salary

Job summary

Traversal is seeking a Full-Stack AI Engineer to design and build core product surfaces powered by our AI Site Reliability Engineer. You’ll own features from UI to backend services and infrastructure, translating AI capabilities into reliable, production-grade experiences for engineers managing large-scale systems.

You will work across stack, collaborate with product, AI researchers, and infrastructure engineers to shape architecture and build real-time incident detection, root cause analysis,

Qualifications

• 8+ years building and operating complex full-stack systems in production
• Strong proficiency in Python and modern backend frameworks such as FastAPI or similar
• Deep experience building modern frontend applications using React and TypeScript
• Experience designing and operating scalable backend services and APIs
• Experience deploying and operating applications in cloud environments (AWS), including containerized workloads using ECS or Kubernetes
• Experience working with data-intensive systems, including relational databases such as Postgres and distributed storage systems
• Strong product instincts and the ability to translate technical capabilities into intuitive user-facing functionality
• Ability to operate effectively in early-stage startup environments with high ownership and evolving priorities

Responsibilities

• Product Ownership: Drive end-to-end development of core product capabilities, translating AI-driven insights into intuitive workflows that empower engineers and reduce cognitive load.

Skills

Python

FastAPI

React

TypeScript

Backend services

AWS

ECS/Kubernetes

PostgreSQL

Distributed systems

Product instincts

Startup mindset

Tools

CI/CD

Job description

Traversal is seeking a Full-Stack AI Engineer to design and build core product surfaces powered by our AI Site Reliability Engineer. You’ll own features from UI to backend services and infrastructure, translating AI capabilities into reliable, production-grade experiences for engineers managing large-scale systems.

You will work across stack, collaborate with product, AI researchers, and infrastructure engineers to shape architecture and build real-time incident detection, root cause analysis,