2 дня назад
Principal Software Engineer (AI)
261 500 - 353 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Software Engineer (AI) (AI-native ERP): Building an AI-native ERP and intelligent product experiences for mid-market businesses with an accent on agentic workflows, distributed systems, and production-grade AI reliability. Focus on designing multi-agent architectures, implementing LLM orchestration and retrieval, and driving scalable, secure, observable services from strategy through production.
Location: Mountain View, California, United States
Base pay: $261,500–$353,500 per year, with possible cash bonus, equity rewards, and benefits.
Company
is a financial technology platform providing products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
- Design and deliver AI-native product experiences for mid-market ERP customers.
- Shape the architecture of an AI-native ERP using agents, automation, and human collaboration.
- Build workflows with human-in-the-loop approvals, explainability, proactive data capture, and process automation.
- Evaluate and adopt LLM orchestration, retrieval, tool use, multi-agent systems, and AI evaluation frameworks.
- Design and implement highly available, scalable, secure, reliable, and observable production services.
- Lead cross-functional technical initiatives, mentor engineers, and set engineering direction.
Requirements
- BS/MS in Computer Science or a related field.
- 8+ years of experience developing systems or software for large business environments.
- 5+ years designing complex distributed systems, management products, or business applications.
- Strong applied AI experience covering traditional ML and Generative AI.
- Experience with LLM APIs, orchestration frameworks, prompt and context engineering, RAG, tool use, multi-agent architectures, and evaluation or guardrail frameworks.
- Strong coding skills in Java, Python, or TypeScript, plus experience with REST/JSON services, scalable web services, real-time and batch processing, and data movement.
Nice to have
- Experience with ERP, financials, or operations domains.
- Hands-on production development of agentic experiences.
- Experience with Kafka, Pub/Sub, Spark/PySpark, SageMaker, feature stores, or vector stores.
Culture & Benefits
- Performance-based compensation approach.
- Potential cash bonus, equity rewards, and employee benefits according to applicable plans.
- Regular pay equity comparisons across ethnicity and gender categories.
- Collaboration across product, design, engineering, and external partner groups.
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