Applied AI Field Engineer: Build AI-powered Workflows

Mannik Smith Group; Charlotte (NC); On-site; USD 155,000 - 190,000; Full time

Job summary

Trilon in Charlotte, NC is seeking an Applied AI Field Engineer to bridge software engineering and AI by building AI-powered features and prompt frameworks. The role focuses on translating requirements into AI capabilities, managing context, model integration, and orchestration for real engineering data and deliverables.

You will partner with engineers across pods to deliver production-ready AI solutions, iterate quickly, and ensure AI outputs are accurate and reliable in real-world workflows.

Qualifications

• 4+ years in software engineering or applied AI.
• Experience with LLM APIs and prompt architectures.
• Experience building retrieval-augmented generation pipelines.
• Ability to translate product requirements into AI capabilities.

Responsibilities

• Design and build AI-powered features using LLMs and related tooling.
• Develop and maintain prompt architectures for consistent outputs.
• Implement retrieval-augmented generation pipelines using enterprise data sources.
• Build and orchestrate agent-based workflows to automate tasks.
• Integrate AI into applications via APIs and backend systems.
• Collaborate with engineers to deliver production-ready AI solutions.

Skills

Python

JavaScript

LLM APIs

Prompt engineering

Vector databases

Agent orchestration

AI tooling

Software design

QA collaboration

Tools

Anthropic Claude

OpenAI API

Vector databases

prompt frameworks

Job description

Trilon in Charlotte, NC is seeking an Applied AI Field Engineer to bridge software engineering and AI by building AI-powered features and prompt frameworks. The role focuses on translating requirements into AI capabilities, managing context, model integration, and orchestration for real engineering data and deliverables.

You will partner with engineers across pods to deliver production-ready AI solutions, iterate quickly, and ensure AI outputs are accurate and reliable in real-world workflows.