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# AI Engineer

- **Company:** Trojan Technologies
- **Location:** Ontario, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $90,000 - $120,000
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Data Architecture, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), Natural Language Processing, OpenAI, Software Deployment, Systems Integration, Workflow Management Systems, Retrieval-Augmented Generation, Large Language Models, Snowflake, Generative AI, Agentic-AI, AI Platforms, Information Technology, Data Management, Machine Learning Operations, Claude, Virtual Agents, GPT, Software Version Control, Data Pipelines
- **Published:** November 13, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pyvuoimk08

## About the Role

* Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or another related technical field.
 * 5+ Years for experience as an engineer, plus hands-on experience designing and developing AI agents for real-world business or product use cases.
 * Experience building AI monitoring, validation, evaluation, and feedback loops to continuously improve solution quality and performance.
 * Demonstrated ability to take AI solutions from initial concept and prototyping through production deployment and ongoing optimization.
 * Practical experience designing and implementing Retrieval-Augmented Generation (RAG) workflows and architectures.
 * Experience working with Azure, Snowflake, or comparable cloud, data, and AI platforms.
 * Strong, hands-on Python development experience, with the ability to build reliable and production-ready AI applications.
 * Experience integrating leading LLMs such as Claude, OpenAI/ChatGPT, Microsoft/Azure OpenAI, or comparable models into automated workflows and applications.
 * A builder mindset: someone who enjoys experimenting with emerging AI capabilities, but also understands what it takes to turn them into scalable, reliable, and measurable solutions.

It would be a plus if you also possess:

 * Experience with IoT data, time-series analysis, or remote monitoring applications, particularly within industrial or water-related environments.
 * Experience with cloud and data platforms such as Azure, AWS, or Snowflake, including model or AI agent deployment and monitoring.
 * Knowledge of data engineering practices, including ETL pipelines, data architecture, and workflow orchestration tools such as Airflow.
 * Experience with MLOps, including model versioning, monitoring, and retraining pipelines.
 * Experience working within Agile, cross-functional product or technology teams.

## Description

* Designing and deploying end-to-end AI and machine learning solutions for remote monitoring, predictive insights, anomaly detection, and intelligent alerting.
 * Building generative AI applications using technologies such as large language models, RAG, and natural language processing.
 * Partnering with the Data Engineering and Analytics Manager and business stakeholders to identify and prioritize high-impact AI opportunities.
 * Expanding AI capabilities across platforms supporting ordering, sales, engineering documentation, troubleshooting, and service. Building and maintaining the data pipelines and model infrastructure required for reliable, production-ready AI applications.
 * Collaborating with Product Management, IT, Engineering, Service, Sales, and Data Engineering to integrate AI into existing and new workflows.
 * Monitoring deployed models and applications to continuously improve accuracy, performance, reliability, and business value.
 * Helping establish responsible AI practices, model governance, documentation, and reproducibility across the organization.
 * Sharing knowledge and helping teams understand how to use AI effectively and responsibly., You'll have the opportunity to help shape how AI is used across Trojan Technologies, from intelligent products and remote monitoring to engineering knowledge and internal business processes.

The goal isn't AI for AI's sake. It's about building practical solutions that solve real problems, scale across the organization, and create measurable value. Work arrangement

This position is remote within Ontario, CAN and works primarily on Eastern Time (EST) hours. The interview process will include Onsite interviews.