AI Engineer
Location: Remote
Compensation: Base+commission
Reviewed: Tue, Aug 18, 2026
This job expires in: 28 days
Job Summary
To support the development of AI-powered solutions, the full-time remote AI Engineer will design, build, and maintain machine learning pipelines, models, and applications, while collaborating with analytics teams and executive stakeholders to enhance operational efficiency.
Key responsibilities:
- Define and develop AI-powered software products, including LLM applications and machine learning models, to optimize operations
- Provide technical leadership in AI/ML practices and ensure reliable deployment of models to AWS infrastructure
- Establish MLOps practices for continuous model improvement and implement monitoring systems for AI/ML performance
Required qualifications:
- Bachelor's Degree in Computer Science, Data Science, Statistics, Engineering, or related field
- Minimum of 3 years of hands-on experience in AI/ML engineering and deploying machine learning models
- Proven experience with AWS, MLflow, and building REST APIs for model serving
- Strong foundation in supervised/unsupervised learning and experience with data platforms and production LLM applications
- Ability to translate operational needs into AI/ML capabilities and communicate effectively with both technical and non-technical stakeholders
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