Applied AI Engineer

Tenstorrent is an AI-computing company that sells AI hardware and licenses AI and RISC-V intellectual property.

Series ERecently funded0 current maintainers0 active leadsTeam intelligence

Maintainer signals as of 9/25/2026

Toronto, Canada
About Tenstorrent

Tenstorrent builds computers for AI, including AI processors, scalable server systems, and open-source software and compiler tooling. It also licenses AI and RISC-V IP for customers building customized silicon.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will identify manual workflows that can be improved with AI, automation, and agentic systems. You will take solutions from concept through implementation, integration, deployment, and iteration. You will build reliable AI-enabled applications, evaluate their production performance, and improve them using quality, reliability, and usage signals.

Requirements

  • Bachelor’s degree or higher in a related technical field
  • 5+ years of relevant technical experience
  • Experience designing, building, and deploying AI-enabled applications or software systems
  • Experience with software architecture, API, system integration, data pipeline, infrastructure, and distributed system
  • Experience with Python, SQL, Git, LLM, AI or agentic framework, workflow automation, and AI coding agent
  • Ability to translate ambiguous operational needs into technical requirements
  • Experience evaluating and operating AI systems in production
  • Eligibility to access U.S. export-controlled technology

Responsibilities

  • Identify high-value internal workflows for AI, automation, and agentic solutions
  • Build, integrate, deploy, and iterate on AI-enabled applications and internal tools
  • Translate operational needs into technical requirements and practical solutions
  • Evaluate production AI systems for quality, reliability, security, privacy, performance, and cost
  • Debug implementation issues and develop reusable architectures, tooling, and documentation