Remote AI Systems Engineer — End-to-End Production

Trail

United States

Remote

USD 120,000 - 170,000

Full time

10 days ago

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Job summary

Trail is a context layer AI for organizations. We’re building the governance layer that links rules, exceptions and knowledge with agents.

We’re hiring a Forward Deployed Engineer to work directly with customers to design, build, and deploy AI-driven systems into live production environments. You will operate across frontend, backend and infrastructure, owning problems end-to-end—from initial requirements to production rollout.

Qualifications

  • 2+ years in related roles; startup experience preferred.
  • Experience building AI-native apps incl. chatbots and agentic workflows.
  • Strong frontend design, state management, performance optimization.
  • Backend and infrastructure understanding with secure data handling.
  • Hands-on experience with production LLM systems, RAG pipelines, and embeddings.
  • Ability to own problems end-to-end from design to production.
  • Strong CS fundamentals.
  • Experience in client-facing environments is a plus.

Responsibilities

  • Design, build, and deploy AI-driven systems into live production environments.
  • Own problems from requirements to production rollout.
  • Design AI-native interfaces and workflows.
  • Integrate LLM-powered systems and real-time applications that connect software to physical operations.

Skills

Forward Deployed Engineer
AI-native applications
Frontend system design
Backend & infrastructure
LLM systems
End-to-end ownership
CS fundamentals
Client-facing experience

Tools

APIs
Embedding/Vector search
Prompt design
RAG pipelines
Agent orchestration

Job description

Trail is a context layer AI for organizations. We’re building the governance layer that links rules, exceptions and knowledge with agents.

We’re hiring a Forward Deployed Engineer to work directly with customers to design, build, and deploy AI-driven systems into live production environments. You will operate across frontend, backend and infrastructure, owning problems end-to-end—from initial requirements to production rollout.

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