Applied AI Field Engineer

trilongroup; Charlotte (NC); On-site; USD 110,000 - 180,000; Full time

Job summary

Trilon seeks an Applied AI Engineer to build AI-powered features that reduce manual engineering labor across our operating companies. You will design the intelligence layer, including prompt frameworks, RAG pipelines, and agent-based workflows, operating against real engineering data and deliverables.

You will collaborate with the Lead Engineer, Software Engineer, and QA Engineer to deliver production-ready solutions, owning how the system reasons, including prompt design, context management,

Qualifications

• Strong software engineering fundamentals and clean code practices.
• Hands-on experience with modern AI tooling and ML libraries.
• Ability to design prompts and manage context across AI models.
• Experience with integration of models into production systems.
• Knowledge of orchestration logic for AI-powered workflows.

Responsibilities

• Build AI-powered features that compress engineering labor across operating companies.
• Design and implement the intelligence layer: prompts, RAG pipelines, and agent-based workflows.
• Collaborate with Lead Engineer, Software Engineer, and QA to deliver production-ready solutions.
• Define quality metrics for AI outputs and ensure reliability in real-world workflows.
• Engage with engineers across teams to validate solutions and iterate quickly.

Skills

Software engineering

AI tooling

Prompt design

Context management

Model integration

Orchestration logic

Tools

Python

ML frameworks

NLP tooling

RAG pipelines

Agent workflows

Job description

Trilon is building a supercharged, technology-enabled future for our people and partners. The Applied AI Engineer plays a critical role in that mission by building the AI-powered features that enable our tools to compress real engineering labor across our operating companies.

This role sits at the intersection of software engineering and applied AI, focused on designing and implementing the intelligence layer of our products. You translate product requirements and architectural patterns into working AI capabilities by building prompt frameworks, retrieval-augmented generation pipelines, and agent-based workflows that operate against real engineering data and deliverables.

Working within a product pod, you partner closely with the Lead Engineer, Software Engineer, and QA Engineer to deliver production-ready solutions. You own how the system reasons, including prompt design, context management, model integration, and orchestration logic. You also help define how quality is measured for AI outputs, ensuring tools are accurate, reliable, and usable in real-world workflows.

You will engage directly with engineers across our operating companies to understand workflows, validate solutions, and iterate quickly based on feedback. You may also participate in field-based project hackathons, embedding with teams to identify high-impact opportunities and rapidly prototype solutions that inform platform development.

This role requires strong software engineering fundamentals, deep hands-on experience with modern AI tooling, and the ability to operate in a fast-moving environment where both the technology and the product are evolving. You are comfortable with ambiguity, rigorous about output quality, and focused on delivering AI that engineers trust and use.