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Trase Systems

Platform for deploying autonomous enterprise AI

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Experience building and shipping production software, with strong coding, testing, debugging, and API design fundamentals.
  • Proficiency in a modern language such as Python, Java, or TypeScript, and experience with databases, backend services, and external integrations.
  • Working knowledge of cloud infrastructure, containers, continuous integration and continuous delivery (CI/CD), and monitoring; ability to troubleshoot deployed applications.
  • Ability to translate customer needs into implementable work and communicate clearly with technical and non-technical stakeholders.
  • Practical understanding of large language model (LLM) applications or AI agents, including their limitations, evaluation, and safe interaction with customer data and systems.
  • Ownership of delivery and quality, curiosity about customer operations, and comfort working through incomplete requirements.

Responsibilities

  • Work directly with customers to map workflows, identify useful AI applications, and agree on scope, success measures, and acceptance criteria.
  • Build production-quality agents, applications, application programming interfaces (APIs), and integrations using Trase OS, including backend services and user interfaces as needed.
  • Integrate customer systems, data sources, and identity providers; work with infrastructure engineers to deploy in customer or Trase-managed environments.
  • Own delivery through testing, deployment, customer validation, and operational handoff. Surface dependencies, risks, and scope changes early.
  • Build evaluations, automated tests, observability, and human review or escalation into agent workflows; validate quality, latency, cost, and reliability.
  • Apply appropriate access controls, data-handling policies, and audit logging in partnership with Security and customer teams.
  • Debug production issues across application, data, integration, and infrastructure layers; document solutions and create practical runbooks.
  • Contribute reusable components and product feedback to Origin and Arena; collaborate on platform improvements rather than maintaining unnecessary custom implementations.

Desired Qualifications

  • Experience as a forward deployed, product, full stack, or solutions engineer with substantial production coding responsibility.
  • Domain experience in healthcare, state and local government and education (SLED), financial services, or retail; familiarity with sensitive data and regulated customer environments.
  • Experience with agent orchestration, retrieval, LLM evaluations, enterprise identity, or complex enterprise integrations.

About the Company

Trase Systems

Platform for deploying autonomous enterprise AI

Trase Systems provides an enterprise AI platform that enables large organizations to deploy, manage, and optimize autonomous AI agents. It offers an end-to-end, model-agnostic solution with an agent builder, multi-agent orchestration, and full observability, designed to automate complex administrative workflows in regulated sectors such as healthcare, national security, and energy. The platform can run across cloud, on-premises, or air-gapped environments to support sensitive workloads, with SOC 2 and HIPAA compliance. Trase differentiates itself through a shared-savings business model (no upfront costs) and a focus on measurable efficiency gains from AI agents, lowering barriers to ROI while ensuring enterprise-grade governance and security. Its goal is to simplify AI adoption for large organizations by addressing the “last mile” of AI implementation and delivering practical, auditable automation at scale.

Company size
11-50
Company stage
Seed
Total funding
$107M
Headquarters
Not listed
Founded
2023

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