Senior AI Infrastructure Engineer

about 4 hours ago

Kent, WA, USASenior / Mid Level

Base Salary

$193k - $289k/yr

Responsibilities

Design, develop, and deploy AI-powered internal tools end-to-end.
Build LLM-powered applications and intelligent workflow automations.
Partner with stakeholders to identify opportunities for AI tooling.
Evaluate and select foundation models and frameworks.
Develop and maintain the AI engineering stack.
Implement evaluation, testing, and monitoring practices for AI systems.
Design and implement integrations with internal systems and data.
Apply strong security and compliance practices to AI tooling.
Operate AI services in production, including capacity planning and incident response.
Produce clear technical documentation and mentor team members.

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
5–8 years of experience in software engineering or applied AI/ML roles.
At least 2 years of experience building and shipping production AI systems.
Proficiency in modern programming languages used in AI tooling.
Hands-on experience with modern LLM tooling and patterns.
Knowledge of major foundation model providers and their trade-offs.
Strong software engineering fundamentals including testing and CI/CD.
Experience integrating with enterprise systems via APIs and event-driven architectures.
Understanding of evaluation methodologies for AI systems.
Strong understanding of AI security and privacy concerns.
Excellent communication skills to translate business problems into AI solutions.

Equity in the form of stock options for all regular, full-time employees.
Comprehensive benefits program including subsidized medical, dental, and vision insurance.
Company-paid life and disability insurance.
401(k) plan with employer match.
4 weeks of Paid Time Off.
10 holidays including an end-of-year closure.
Paid Family/Parental Leave.
On-site gym or monthly wellness stipend.
Dog friendly offices.