Join Traversal as an AI Platform Engineer to build scalable systems that enhance AI performance in complex production environments.
Posted by employer 3 months ago
First seen on Joblaze 2 months ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Traversal's AI autonomously understands and reasons across complex production environments to diagnose, fix, and prevent incidents.
Not disclosed in this posting: years of experience, visa sponsorship.
Benefits
Joblaze summary
In the role of AI Platform Engineer at Traversal, the individual will focus on developing and maintaining the foundational systems that support the company's AI capabilities, ensuring high standards of quality and reliability. Key skills include expertise in distributed systems, production-scale software engineering, and familiarity with LLM-based applications. This position is ideal for experienced engineers who thrive in collaborative environments and have a strong background in both software architecture and AI technologies. Traversal's team is composed of top-tier talent from prestigious institutions and companies, fostering a culture of innovation and problem-solving.
Joblaze insights
Quick facts
From the original posting
The Role
As an AI Engineer - Backend/Platform 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.
Requirements
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.
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.
Standard company text repeated across Traversal's postings is omitted here.