Applied AI Engineer

Tenstorrent•Santa Clara, CA

5d•$100,000 - $500,000•Hybrid

About The Position

Tenstorrent is seeking an Applied AI Engineer to build and scale the next generation of AI-powered solutions. This role involves identifying opportunities to replace manual processes with AI and automation, taking solutions from concept through implementation and deployment. The engineer will work at the intersection of AI, software, infrastructure, automation, and systems integration, partnering with various teams to deliver scalable AI systems. The ideal candidate has a strong technical background, experience building AI-enabled products end-to-end, and can operate independently in a fast-moving environment. Success will be measured by reliable systems, sustained adoption, and data-driven improvements.

Requirements

Bachelor’s degree or higher in AI/ML Engineering, Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
5+ years of relevant technical experience.
Demonstrated experience designing, building, and deploying AI-enabled applications or software systems, with hands-on contributions to code, architecture, evaluation, integration, and production readiness.
Strong technical understanding of software architecture, APIs, system integration, data pipelines, infrastructure, and distributed systems.
Hands-on experience in Python, SQL, Git, LLMs, AI/agentic frameworks, workflow automation, and AI coding agents/tools such as Claude, Codex, Cursor, n8n, Rovo, or similar.
Ability to translate ambiguous operational needs into technical requirements and practical AI/software solutions.
Experience evaluating and operating AI systems in production, including assessing quality and failure modes using representative data, evaluation methods, production signals, and human judgment.
Understanding of reliability, observability, security, privacy, data governance, performance, and cost.

Nice To Haves

Experience operating in fast-moving startup or scale-up environments.
Comfortable with ambiguity; able to ask the right questions, challenge assumptions constructively, make sound technical trade-offs, and drive progress with limited direction.
Strong systems thinker who understands how AI, software, infrastructure, data, APIs/MCP/Connectors, and workflows fit together.
Clear, humble, and adaptable communicator who works collaboratively across engineering, partner teams, and leadership.

Responsibilities

Identify opportunities to replace manual processes with AI, automation, and agentic solutions.
Take AI solutions from concept through implementation, integration, deployment, and iteration.
Work at the intersection of AI, software, infrastructure, automation, and systems integration.
Partner with teams across Operations, Customer Success, IT, Data Infrastructure, and AI Software to identify high-value internal workflows.
Deliver AI systems that scale across Tenstorrent.
Combine technical judgment, hands-on engineering, and understanding of internal users’ needs.
Translate ambiguous operational needs into technical requirements and practical AI/software solutions.
Integrate solutions into existing systems.
Debug complex implementation issues by reproducing failures, testing hypotheses, and driving blockers to resolution.
Evaluate and operate AI systems in production, assessing quality and failure modes.
Turn learnings into reusable architectures, tooling, documentation, or technical guidance.