AI Engineer - AI Platform

Traversal

$150K — $300K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 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.

Responsibilities

  • Lead the design and implementation of scalable, robust backend systems to support AI agents and observability tools.
  • Design and implement high-performance APIs for backend and frontend communication.
  • Architect scalable distributed systems for real-time workloads over large telemetry data.
  • Build live evaluation pipelines, automated scoring systems, and benchmarks for AI performance.
  • Collaborate with AI engineers to integrate AI-driven insights into backend systems.
  • Monitor, optimize, and scale backend services for high data volumes and low-latency performance.

Benefits

  • Competitive compensation and startup equity.
  • Health insurance coverage.
  • Collaborative and hard-working culture.
  • Opportunities for career growth and impact.
  • Meaningful ownership of parts of the product.
Full Job Description
The Role

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.

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.

Traversal is fully in-office, 5 days a week, based in New York near Madison Square Park. We have a collaborative, hard-working culture and are energized by building the future of AI-powered software maintenance.

Working here means owning meaningful parts of the product, having the flexibility to move fast, and learning constantly. This is a place to grow your career, make a real impact, and help define a new category of infrastructure software.

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