Inviso

FDE Applied AI Engineer - USA

Remote, US$127,000-$195,000Posted 7 days ago

Job Description

FDE Applied AI Engineer

This is a remote, client-facing consultant role with Inviso. In this position, you will support an external software development organization as part of Inviso’s delivery team, helping build production AI capabilities that customers can rely on in real operational workflows.

The Inviso Applied AI Engineer is responsible for building and operating AI capabilities across an enterprise platform, including agent runtimes, model routing, RAG, tool/function calling, guardrails, evaluation, monitoring, cost management, latency optimization, and production quality controls.

This role is focused on shipping AI that works in production, not demos. The ideal candidate understands how to move from prototype to monitored production systems, can evaluate AI behavior rigorously, and can partner with product and engineering teams to decide when AI is the right solution and when it is not.

This is a 100% remote role but may require some travel due to client needs.

Experience & Skills Required

* Experience shipping software backed by LLMs, ML models, RAG systems, or agentic workflows to real production users. * Experience designing or implementing agent runtime, orchestration, model routing, tool/function calling, or AI workflow patterns. * Strong understanding of RAG, grounding, retrieval quality, prompt design, context management, and evaluation approaches. * Experience building evaluation harnesses, golden sets, regression checks, quality gates, or measurable AI performance frameworks. * Ability to treat cost, latency, reliability, and safety as first-class engineering constraints. * Experience building guardrails and controls for AI systems, including untrusted retrieved content, tool output risk, and failure modes. * Experience monitoring production AI behavior and improving systems based on evidence, not opinion. * Strong software engineering skills and ability to collaborate with backend, platform, product, and security teams. *

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