5 дней назад
Principal Engineer (AI)
261 500 - 353 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Engineer (AI): Building robust, scalable, and secure AI-native applications and horizontal architectural solutions with an accent on distributed systems, customer problem solving, and AI evaluation. Focus on designing high-availability software, applying large language models and modern AI tools, and driving cross-functional technical initiatives across a complex organization.
Location: Mountain View, California, United States
Base pay: $261,500–$353,500 per year, plus eligible cash bonus, equity rewards, and benefits.
Company
is a global financial technology platform serving customers through products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
- Drive major customer, business, and technology outcomes across the organization.
- Lead end-to-end technology initiatives, including horizontal architectural layers.
- Design and implement durable, robust, scalable, secure, and high-availability software solutions.
- Guide the application of AI to customer problems and evaluate solution accuracy.
- Partner with Architecture, Product Management, Operations, and other cross-functional teams to design, develop, test, and release features.
- Contribute to engineering standards, technology prototypes, patents, industry recommendations, and process improvements.
Requirements
- 10+ years of experience developing systems or software for large business environments.
- 7+ years of experience designing complex distributed systems, management products, or business applications.
- Full-stack experience applying AI technologies to user experiences or backend solutions.
- Experience with AI technologies such as SageMaker, Vert.x, LangChain, large language models, prompt engineering, Dialogflow, or Python.
- Experience with frontend technologies such as React, Angular, SwiftUI, or Kotlin, or backend technologies such as Java, TypeScript, Spring, or Express.
- Bachelor’s or master’s degree in Computer Science or a related field, with strong analytical, communication, mentoring, and cross-functional collaboration skills.
Nice to have
- Experience with AWS or GCP cloud environments.
- At least one year of experience on teams building AI-native applications.
- Experience working with global teams across time zones.
Culture & Benefits
- Work with engineers, product managers, designers, architects, and operations partners.
- Collaborative environment focused on continuous learning, experimentation, and emerging technologies.
- Competitive compensation with performance-based cash bonus, equity rewards, and benefits.
- Opportunity to mentor others and influence technical and non-technical stakeholders, including executives.
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