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AI Research Engineer

Traversal· Research
Apply on company site
New York$180k - $300kFull-timePosted 2mo ago

About the role

AI Research Engineer role at Traversal to build and scale the research infrastructure and production-ready systems for AI agents that diagnose and resolve production incidents in large enterprises.

Responsibilities

  • Research Infrastructure: Build and scale the infrastructure behind the team's research — experiment harnesses, evaluation pipelines, and trajectory tooling — so that ideas can be tested quickly and results can be trusted.
  • Scaling Research Prototypes: Take promising research prototypes and make them fast, reliable, and production-ready, closing the gap between a one-off experiment and a capability that ships to enterprise customers.
  • Experiment Design: Partner with researchers to design experiments — framing the hypothesis, choosing the measurement, and making sure the result is real before it drives a decision.
  • Cross-Team Collaboration: Work closely with AI engineers, infrastructure teams, and product leads to bring research into production and close the loop between experimentation and impact.
  • Stay on the Frontier: Track developments in LLMs, agent architectures, and evaluation methodology, translating insights into actionable improvements for Traversal's domain.
  • LLM & Agent Research: Prototype and evaluate prompting strategies, reasoning workflows, and tool-use policies for agents operating on large-scale observability data and complex troubleshooting workflows. Ship improvements to production.

Qualifications

  • 5+ years of software engineering experience, with a strong focus on backend development and experience building scaled systems.
  • Hands-on experimentation experience — running experiments, evaluating results, and iterating on them. Side projects and personal work count.
  • Proven ability to lead in fast-paced startup environments, with limited resources, shifting priorities, and minimal structure.
  • Strong experience with Python and web frameworks such as FastAPI.
  • Experience deploying applications on AWS, working with ECS or Kubernetes, Postgres for data storage, and S3 for large-scale object storage.
  • Familiarity with observability and monitoring tools to ensure the system is running smoothly and efficiently.

Skills

Required:Backend developmentExperimentationPythonFastAPIAWS / ECS / KubernetesPostgresS3
Nice to have:Observability

Benefits

  • competitive compensation
  • startup equity
  • health insurance
  • fertility benefits
  • tech setup stipend
  • flexible time off
  • in-office snacks
  • team happy hours and outings
  • annual company offsite
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Traversal

The only AI SRE for the enterprise

Traversal cuts through alert noise, surfaces root causes, and guides your team to remediation — so incidents get fixed in minutes, not hours.

AISREcomplex systemsalertingroot cause analysisincident preventionenterprise
Company profileWebsite

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