Senior Applied AI Engineer
Location: Remote
Compensation: Salary
Reviewed: Thu, Oct 15, 2026
This job expires in: 30 days
Job Summary
Seeking a Senior Applied AI Engineer to work remotely in a full-time capacity, this role focuses on transforming machine learning research into production-ready features, including large language models and computer vision, while collaborating with cross-functional product teams.
Key responsibilities
- Own computer vision and agentic AI problem domains, adapting architectures and training strategies for complex data
- Drive end-to-end design and execution of experiments, from framing questions to evaluating model performance
- Identify high-impact opportunities to enhance AI systems and make pragmatic trade-off decisions in collaboration with stakeholders
Required qualifications
- 7-10 years of hands-on experience in applied AI/ML with a proven track record of delivering models and systems
- Demonstrated experience as the lead AI expert on projects, from proof of concept to production
- Fluency with MLOps practices, including CI/CD, containerization, deployment, and monitoring
- Strong experience in building agentic AI workflows and LLM-powered applications in production
- Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow
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