AI Engineer

Tremco Construction Products Group•Beachwood, OH

10d•Hybrid

About The Position

BUILD YOUR FUTURE WHILE YOU HELP BUILD A BETTER WORLD! Tremco CPG is an aggressive, growth-oriented company with revenues of over $1 billion. We are a world leader in solving complex waterproofing and roofing problems for our commercial, institutional, and industrial customers. If you’re looking for a place to build a career, with great benefits, advancement opportunities, technology, people and a commitment to a sustainable future, you’ve found it with us. OVERVIEW: We are currently looking for an AI Engineer. This position will be responsible for: Leading end-to-end project delivery, including requirements gathering, system architecture, prototyping, production deployment, and ongoing iteration Designing and building company-owned internal software, data pipelines, and integrations to replace Excel as an operational backbone Translating ambiguous business needs into clear functional and technical specifications Selecting appropriate tools, technologies, and architectures to deliver scalable and maintainable solutions Developing robust, efficient, and reliable systems, ensuring accuracy and correctness through validation and testing Driving execution and delivery, shipping improvements quickly and iterating based on feedback and results

Requirements

Graduating Spring/Summer 2026 or recent graduate in Computer Science, Computer Engineering, Data Science, AI/ML.
Proficiency in at least one backend language: e.g. Python, TypeScript/Node.js, or C#/.NET
Ability to build automation/services that handle data, integrate APIs, and run reliably in production.
Strong SQL and relational fundamentals (schema design basics, joins/aggregations, constraints, query debugging; Postgres/MySQL/SQL Server).
Ability to build and consume REST APIs (HTTP basics, auth patterns, pagination, error handling).
Solid software engineering fundamentals: Data structures + OOP Readable, maintainable code Debugging and refactoring Git workflow experience (branches, pull requests, code review habits).
Clear technical communication: can write clean documentation
To increase your chances, include at least one project that demonstrates end-to-end ownership: problem → design → implementation → deployment → iteration or improvements.

Nice To Haves

OHSA 10 preferred
Engineer-in-Training Certification preferred
Licensed/Registered Architect preferred
Framework experience: FastAPI / Flask / Django, ASP.NET Core, NestJS / Express
Data pipeline orchestration tooling: Airflow / Dagster / Prefect
Docker experience and basic CI/CD (GitHub Actions, Azure DevOps, or similar)
Cloud exposure (AWS / Azure / GCP): managed databases, object storage, message queues
Building SaaS integrations using REST APIs / webhooks

Responsibilities

Replace manual workflows with production software
Translate informal processes into clear data models, services, and user-facing tools.
Build internal web apps, APIs, and automation services that users adopt.
Build data pipelines and system integrations
Ingest data from files, forms, SaaS tools, and internal databases.
Implement ETL/ELT pipelines with validation, lineage, and monitoring.
Integrate systems via REST APIs, webhooks, queues, and scheduled jobs.
Create durable data foundations
Design relational schemas, enforce constraints, manage migrations.
Build “single source of truth” datasets for analytics + operations.
Operationalize ML
Use pre-trained models (LLMs / vision / classical ML) for classification, extraction, routing, forecasting, etc.
When needed: fine-tune/train on company data, evaluate properly, deploy with monitoring.