Applied AI Engineer: Automating Engineering Workflows

Trilon; Charlotte (NC); On-site; USD 155,000 - 190,000; Full time

Job summary

Trilon in Charlotte, NC is seeking an Applied AI Engineer to build AI-powered features that reduce engineering effort across our operating companies. The role blends software engineering with applied AI, translating product requirements into prompt frameworks, retrieval-augmented pipelines, and agent-based workflows that work with real data.

You will collaborate with a pod of engineers to own system reasoning, model integration, and quality metrics, delivering reliable AI used by real-world

Qualifications

• 4+ years of software engineering, applied AI, or ML development.
• Strong Python and/or JavaScript programming skills.
• Hands-on experience with LLM APIs (Anthropic Claude, OpenAI).
• Experience designing and implementing prompt architectures and prompt engineering techniques.
• Experience building retrieval-augmented generation pipelines and working with vector databases.
• Familiarity with agent orchestration frameworks and multi-step AI workflows.
• Experience integrating AI capabilities into applications via APIs and backend systems.

Responsibilities

• Design and build AI-powered features using large language models and related tooling.
• Develop and maintain prompt architectures that drive consistent, high-quality outputs.
• Implement retrieval-augmented generation pipelines using enterprise data sources.
• Build and orchestrate agent-based workflows to automate targeted tasks.
• Partner with engineers to integrate AI capabilities into applications and APIs.

Skills

Software engineering

Applied AI

Python

JavaScript

LLM APIs

Prompt engineering

Retrieval-augmented generation

Vector databases

Agent orchestration

API integration

Data handling

Debugging non-deterministic outputs

Tools

OpenAI

Anthropic Claude

OpenAI API

Job description

Trilon in Charlotte, NC is seeking an Applied AI Engineer to build AI-powered features that reduce engineering effort across our operating companies. The role blends software engineering with applied AI, translating product requirements into prompt frameworks, retrieval-augmented pipelines, and agent-based workflows that work with real data.

You will collaborate with a pod of engineers to own system reasoning, model integration, and quality metrics, delivering reliable AI used by real-world