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# AI Engineer - AI Platform

- **Company:** TRAVERSAL CORP
- **Location:** New York, NY, United States
- **Salary:** $150,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Application Frameworks, Programming Tools, Distributed Systems, Performance Tuning, Software Architecture, Software Engineering, Large Language Models, Grafana, Multi-Agent Systems, Backend, AI Platforms, Data Analytics, Front End Software Development
- **Published:** July 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=888b60c79450735f

## About the Role

* Strong system design skills for distributed systems.
 * Proven production-scale software engineering experience.
 * Experience with LLM-based applications and/or multi-agent systems.
 * Strong data modeling skills and a track record of writing clean, maintainable code.
 * Collaborative, impact-driven mindset and ability to work across research and engineering teams.

Nice to Have

 * Knowledge of software incidents and production SRE workflows.
 * Prior experience with AI benchmarking or evaluation systems.
 * Experience creating quantitative scoring systems or benchmarks in new problem domains.
 * Familiarity with observability stacks (logs, metrics, traces) and telemetry systems.
 * Background in agentic architectures, orchestration frameworks, or applied AI research.

## Description

As an AI Platform Engineer at Traversal, you'll work on the core foundations that make Traversal's AI possible while ensuring Traversal's platform, products, and applications are delivered with a high bar for quality, reliability, resilience, cost-effectiveness, and maintainability.

You will build and own the frameworks, shared libraries, application foundations, observability, and developer tooling that power Traversal's systems and AI agents. This involves designing scalable distributed systems and abstractions, delivering core application framework components, implementing best practices for software architecture and software delivery while balancing velocity, research flexibility, and production reliability.

Responsibilities

 * Lead the design and implementation of scalable, robust backend systems to support AI agents and observability tools.
 * Design and implement high-performance APIs to enable seamless communication between backend systems and frontend interfaces.
 * Architect scalable distributed systems to support real-time workloads over petabytes of heterogeneous telemetry data.
 * Build live evaluation pipelines, automated scoring systems, and benchmarks to measure and drive AI performance.
 * Collaborate with AI engineers and scientists to integrate AI-driven insights and solutions into backend systems.
 * Monitor, optimize, and scale backend services to handle high volumes of data while ensuring low-latency performance.


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