Applied AI Field Engineer — Build Real-World AI Tools

CME Associates; Charlotte (NC); On-site; USD 120,000 - 180,000; Full time

Job summary

Trilon is seeking an Applied AI Engineer to design and deploy AI-powered features across our product suite. You will translate requirements into prompt architectures, manage data-grounded outputs, and integrate LLM APIs into scalable systems.

You will collaborate with engineers across pods to deliver production-ready AI, while iterating quickly on prompts, pipelines, and evaluation strategies to improve accuracy and reliability in real-world workflows.

Qualifications

• 4+ years of software engineering or AI development.
• Experience with LLMs and modern AI tooling.
• Strong collaboration across pods and QA teams.

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
• Integrate LLM APIs such as Anthropic Claude and OpenAI into production systems
• Design context management strategies to ensure outputs are grounded, relevant, and accurate
• Manage tradeoffs across latency, cost, and performance in AI workflows
• Continuously improve system behavior through prompt iteration and architecture refinement
• Partner with Software Engineers to integrate AI capabilities into applications, APIs, and user interfaces
• Align with the Lead Engineer on technical direction, architecture, and implementation decisions
• Work with QA Engineers to define evaluation criteria, testing strategies, and quality thresholds for AI outputs
• Translate product requirements into scalable, production-ready AI solutions
• Define and implement approaches for evaluating non-deterministic AI outputs
• Build test cases, benchmarks, and evaluation pipelines to track output quality over time
• Identify failure modes and iterate on prompts, pipelines, and orchestration logic
• Ensure consistency and reliability as models, prompts, and data sources evolve
• Stay current with advancements in LLMs, vector databases, and agent frameworks
• Experiment with new tools and techniques to improve speed, quality, and capability
• Contribute reusable patterns, components, and best practices across pods

Skills

Python

JavaScript

LLM APIs

Prompt engineering

Vector databases

Agent frameworks

APIs and backend

Data handling

QA collaboration

Product mindset

Tools

Anthropic Claude

OpenAI API

VectorDB

LangChain

Job description

Trilon is seeking an Applied AI Engineer to design and deploy AI-powered features across our product suite. You will translate requirements into prompt architectures, manage data-grounded outputs, and integrate LLM APIs into scalable systems.

You will collaborate with engineers across pods to deliver production-ready AI, while iterating quickly on prompts, pipelines, and evaluation strategies to improve accuracy and reliability in real-world workflows.