Senior AI Engineer

TensorOps is a boutique AI consultancy that designs and deploys production-grade AI systems for enterprise clients. The Senior ML Engineer will lead the end-to-end delivery of machine learning and LLM-based systems, collaborate directly with clients, provide technical direction, and mentor junior ML engineers.

Responsibilities:

• Design, build, and deploy production ML and LLM-based systems (RAG, agentic workflows, fine-tuning, embeddings) for enterprise clients
• Own technical delivery end-to-end: from architecture and prototyping to deployment, monitoring, and iteration
• Work directly with client engineering and product teams to translate business needs into scoped, shippable technical solutions
• Mentor and support other ML engineers on the team — code reviews, technical guidance, and knowledge sharing
• Help shape internal best practices, tooling, and technical standards as the team grows
• Represent TensorOps technically in client conversations, workshops, and (optionally) at industry conferences