AI/ML Engineer

IntelliTrans, (ITL), a subsidiary of Roper Technologies, Inc.

(NYSE: ROP) is seeking an Applied AI Engineer to join our team, hybrid in Atlanta, GA.

 

Position Summary: The Applied AI Engineer a key member of the AI and Data Science Team, responsible for designing, developing, and deploying production AI/ML systems that power IntelliTrans’ intelligent freight management platform.

This role blends applied AI engineering with data science fundamentals, including building and evaluating agentic AI systems, developing LLM-powered features, designing ML pipelines, and creating intelligent automation workflows.

The ideal candidate is comfortable operating across the full spectrum from exploratory data analysis to production AI system deployment and is energized by applying AI to real-world logistics challenges.

Essential Duties and Responsibilities:

AI/ML Engineering and Agentic AI



* Design, build, and evaluate agentic AI systems using Agentic AI platforms and related frameworks for freight management use cases (e.g., shipment exception handling, real time visibility, ETA intelligence).


* Develop and optimize LLM-powered features, including prompt engineering, Retrieval-Augmented Generation (RAG) pipelines, and tool-calling agents integrated into workflows


* Build and maintain ML model evaluation frameworks with structured metrics, AI-assisted judges, and human feedback loops modern frameworks and DB Catalog tools


* Contribute to developing browser automation + AI hybrid systems, including data extraction pipelines using Playwright and Claude.

  

Data Science and Analytics



* Analyze complex, large-scale freight and logistics datasets to generate actionable business insights for internal stakeholders and customers.


* Develop and maintain predictive models for supply chain KPIs, including ETA prediction, freight audit anomaly detection, and shipment pattern analysis.


* Support IntelliTrans’ data streaming strategy by designing data pipelines and feature engineering workflows that bridge the System of Record and System of Intelligence layers.


* Build and iterate on dashboards and analytical tools using SQL, Analytics, and supporting visualization platforms.

Platform and Infrastructure



* Develop production-grade Python services (FastAPI, async patterns) that integrate ML models and AI agents into the IntelliTrans platform.


* Collaborate with the architecture team on AWS cloud infrastructure (ECS Fargate, SQS, S3, CloudWatch, Terraform) for model deployment and agent runtime scaling.


* Contribute to CI/CD pipelines, observability instrumentation (OpenTelemetry, structlog), and MLOps best practices for model lifecycle management.

Collaboration and Strategy



* Partner with Product Management to translate the AI agent roadmap into technical specifications and delivery plans aligned with IntelliTrans’ 3–5 year data and AI strategy.


* Use moder...