Remote Production AI Deployment Engineer (Contract)

Trida AI; New York (NY); Remote; USD 138,000 - 207,000; Part time

Job summary

Trida AI deploys Forward Deployed Engineers inside enterprise customer teams to design, build, and ship production AI systems — agents, retrieval, and data integrations — and to leave behind systems the customer can operate themselves. Success is production adoption and measurable workflow impact, not a demo.

Travel to customer sites up to 50% may be required depending on the engagement. What You'll Do: Own deployment end-to-end; embed with customer teams; design and ship LLM agents, retrieval

Qualifications

• 4–6 years of engineering experience, including customer-facing work.
• Experience building and deploying LLM-powered systems in production — RAG, agentic workflows, tool use / MCP.
• Strong written and spoken communication and ability to work with VP-level stakeholders.

Responsibilities

• Own deployment end-to-end: discovery, scoping, design, build, evaluation, rollout, handoff.
• Embed with customer teams and build inside their systems.
• Design and ship LLM agents, RAG pipelines, and data integrations with enterprise APIs.
• Define acceptance criteria and launch readiness evaluations.
• Codify learnings into repeatable patterns, playbooks, and building blocks for future engagements.
• Provide feedback to delivery leadership.

Skills

LLM production systems

RAG pipelines

Agentic workflows

Python

Tools

LLM Orchestration

MCP Servers

APIs integration

Job description

Trida AI deploys Forward Deployed Engineers inside enterprise customer teams to design, build, and ship production AI systems — agents, retrieval, and data integrations — and to leave behind systems the customer can operate themselves. Success is production adoption and measurable workflow impact, not a demo.

Travel to customer sites up to 50% may be required depending on the engagement. What You'll Do: Own deployment end-to-end; embed with customer teams; design and ship LLM agents, retrieval