AI Deployment Engineer — Real-Time Systems & Customer Impact

Trail; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Trail builds the context layer AI agents run on, providing a governed graph of company rules, exceptions, and institutional knowledge. It is a fast-moving startup collaborating directly with customers to deploy AI systems in live production.

The role involves working across frontend, backend, and infrastructure to design, build, and deploy AI-driven solutions that operate in real-time with physical operations.

Qualifications

• 2+ years as a Forward Deployed Engineer, software engineer, ML engineer, or equivalent.
• Experience with chatbots, agentic workflows, RAG systems, and production LLM deployments.
• Strong foundations in computer science and software engineering principles.

Responsibilities

• Work directly with customers to design, build, and deploy AI-driven systems.
• Operate across frontend, backend, and infrastructure, owning problems end-to-end.
• Build real-time applications that connect software to physical operations.

Skills

Software fundamentals

CS principles

AI/ML basics

Chatbot experience

Tools

RAG systems

LLM deployments

Frontend/Backend/Infra

Job description

Trail builds the context layer AI agents run on, providing a governed graph of company rules, exceptions, and institutional knowledge. It is a fast-moving startup collaborating directly with customers to deploy AI systems in live production.

The role involves working across frontend, backend, and infrastructure to design, build, and deploy AI-driven solutions that operate in real-time with physical operations.