The Role

As a Full-Stack AI Engineer at Traversal, you'll play a key role in designing and building the core product surfaces powered by our AI Site Reliability Engineer. This role is ideal for engineers who enjoy owning complex systems end-to-end-from user interface through backend services and infrastructure.
You'll help translate advanced AI capabilities into reliable, production-grade product experiences used by engineers operating large-scale systems. The right person for this role combines strong product intuition with deep engineering judgment and is comfortable working across the stack, from distributed systems and data pipelines to highly interactive front-end applications.
You'll partner closely with product, AI researchers, and infrastructure engineers to shape the architecture of the platform and build features that enable real-time incident detection, root cause analysis, and automated remediation across complex production environments.
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.
• Technical Architecture: Design scalable system architectures spanning frontend, backend services, and data infrastructure to support real-time observability and automated operations.
• API & Platform Development: Design and implement high-performance APIs and service layers that power the product and enable seamless integration between AI systems, backend services, and the user interface.
• User Experience: Build highly interactive interfaces for exploring operational data, rapidly iterating with users to refine product workflows and usability.
• Data Systems: Design efficient strategies for storing, processing, and retrieving large-scale operational data using technologies like PostgreSQL, Redis, and distributed systems.
• AI Integration: Collaborate with AI engineers and researchers to operationalize model outputs in production systems, building reliable pipelines, authentication systems, and platform abstractions that enable AI-powered features.
• Technical Leadership: Help shape engineering best practices, influence technical direction, and raise the bar for system design, performance, and maintainability across the codebase.

Requirements

• 8+ years building and operating complex full-stack systems in production environments
• 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

Nice to Have

• Experience building data-heavy interfaces, including time-series visualization or operational dashboards
• Experience working with observability platforms, infrastructure tooling, or developer platforms
• Familiarity with AI/LLM-powered products or agentic systems
• Background working on large-scale, distributed, or data-driven applications

Compensation

We offer competitive compensation, startup equity, health insurance, and additional benefits. The U.S. base salary range for this full-time, in-person role in New York is $150,000 - $300,000, plus equity and benefits. Our salary ranges are based on location, level, and role. Individual compensation is determined by experience, skills, and job-related knowledge.