Principal AI Engineer

Gainwell Technologies

full-time

Posted on: 10/16/2025

Location Type: Remote

Location: Remote • Texas • 🇺🇸 United States

✨ AI Apply

Lead

AWSCloudDockerKubernetesPythonTerraform

About the role

Collaborate with data scientists and ML engineers to containerize, deploy, and monitor AI/ML models.
Design, build, manage cloud infrastructure using Terraform to support scalable, secure, and cost-efficient AI workloads.
Deploy and manage AI services preferably on AWS (e.g., SQS, Lamda, ECS/EKS, S3, IAM, CloudWatch).
Connect AI Services to backend systems and services via RESTful APIs, leveraging authentication, session management, and error handling best practices.
Architect and implement multi-channel support (chat, voice) to ensure consistent experiences across platforms.
Write clean, efficient, testable code.
Develop unit and integration tests and participate in code reviews.
Use analytics tools to track AI Services performance, identify issues, and recommend improvements.
Work closely with Platform engineers, QA testers, and product managers to align development with business goals.

3+ years in Software Development , including 1 year specifically focused on Data Science, Machine Learning Capabilities, or Cloud Infrastructure roles.
Proficient in Python ; additional experience with Terraform , JSON , and XML is a plus.
Familiarity with Containerization ( Docker ) and Orchestration ( Kubernetes or ECS )
Familiarity with CI/CD Pipelines , version control systems (e.g., Git ), and Agile Development practices.
Experience integrating with third-party APIs and enterprise systems .
Understanding MLOps principles and Model Lifecycle Management .
Strong problem-solving skills and ability to work in an agile, collaborative environment.

Benefits

Tip: use these terms in your resume and cover letter to boost ATS matches.

PythonTerraformContainerizationDockerKubernetesECSCI/CD PipelinesJSONXMLMLOps

problem-solvingcollaborative