About the role
TensorOps is hiring a Senior AI Engineer to design, build, and deploy production-grade ML and LLM systems for enterprise clients. The role involves end-to-end technical ownership, from architecture and prototyping through deployment, monitoring, and iteration, while working directly with client engineering and product teams.
The position also includes mentoring junior ML engineers, shaping internal best practices, and representing TensorOps in technical client discussions. It is a strong fit for candidates with deep experience in Python, GenAI systems, MLOps, and cloud deployment across AWS, GCP, or Azure.
Highlights
- Work on production ML and LLM systems including RAG, agentic workflows, fine-tuning, and embeddings
- Own technical delivery end-to-end for enterprise client engagements
- Mentor other ML engineers through reviews, guidance, and knowledge sharing
- 100% remote work with funded AWS and GCP certifications
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