domain

AI Engineer

US Sunnyvale, CA, US
Onsite 2026-07-04
Estimated salary · Sunnyvale
~ $82,100 - $142,600
Low
$82K
Median
$108K
High
$142K
Market in Sunnyvale · BLS OEWS 2024
Estimated net pay
$5,273 - $8,317
/month · 23% withheld
after tax & contributions · on the estimated salary · Single, no dependents

Job description

**About the Role** Teserac is building neuron™, a unified AI\-native platform for data center observability, intelligence, and workflow automation. neuron™ processes real\-time telemetry from thousands of sensors, meters, and control systems across heterogeneous environments — giving infrastructure owners the visibility to monitor, analyze, automate, and proactively manage power operations with full situational awareness. An embedded AI teammate serves as every operator's always\-on co\-pilot: detecting anomalies, correlating events, and surfacing recommendations 24/7\. We are seeking an AI/ML Engineer who is excited to build intelligent systems at the intersection of applied AI and critical infrastructure. You will work across the full AI development lifecycle — from data pipelines and model integration to agentic orchestration, evaluation, and production support — collaborating closely with a small, fast\-moving engineering team. **This is not a research\-only role, but research thinking matters here.** You will be expected to read papers, stay ahead of the field, and bring ideas to the table — then build them into production systems. **Who We Are Looking For** We care more about how you think than how many years are on your resume. This role is open to both junior and senior candidates. What matters is: * You are genuinely excited about AI and infrastructure — not just one of them * You learn fast, go deep, and can hold your own in a technical debate * You have the engineering fundamentals to ship reliable systems * You are proactive, curious, and comfortable with a steep learning curve * You want to work on something technically hard that actually matters in the physical world If you are early in your career but have strong fundamentals, a track record of self\-directed learning, and a portfolio that shows you build things — we want to hear from you. **What You Will Work On** * Multi\-agent orchestration and LLM\-driven triage workflows * Time\-seri

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