обновлено 8 дней назад
Principal Software Engineer (AI)
227 800 - 338 800$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal Software Engineer (AI): Building an enterprise AI agent platform for automating complex workflows across on-premises and multi-cloud environments with an accent on agent orchestration, enterprise data retrieval, tool calling, and developer-facing APIs. Focus on defining product architecture, designing fault-tolerant cloud systems, scaling distributed services, and leading technical execution through production delivery.
Location: Bellevue, Washington, United States
Salary: USD 227,800–338,800 per year
Company
provides intelligent data infrastructure, unified storage, integrated data services, and cloud solutions for enterprise customers.
What you will do
- Define the architecture for an enterprise AI agent platform, including service boundaries, data models, API contracts, runtime design, and integration patterns.
- Build agent orchestration, knowledge bases, retrieval over enterprise data, tool-calling, and multi-cloud execution systems.
- Develop reliable developer-facing APIs, SDKs, and tooling for external customers.
- Lead technical execution through engineering standards, design reviews, technical decisions, and delivery coordination.
- Mentor engineers and raise the team’s technical quality bar.
Requirements
- 12+ years of software development experience, including 7+ years working hands-on with fault-tolerant, highly scalable cloud architectures.
- Strong server-side engineering experience with one or more of Node, Python, Java, Go, or Rust.
- Production experience building RESTful APIs and microservices backed by SQL and/or NoSQL data stores.
- Experience designing distributed systems or cloud-native products, building CI/CD pipelines, and applying cloud security fundamentals including authentication, authorization, encryption, and compliance.
- Ability to make technical decisions under ambiguity and communicate effectively with executives, engineers, product, and leadership.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Nice to have
- Experience building AI agent systems or LLM-powered products using tool calling, RAG, and prompt orchestration.
- Knowledge of agentic design patterns, tool-use protocols, context management, multi-step reasoning, and grounding models in enterprise data.
- Experience with Docker, Kubernetes, Terraform, CloudFormation, developer-facing products, SDKs, enterprise infrastructure, cloud data services, or storage systems.
- Experience building a new product inside a larger company or serving as a principal engineer or technical lead.
Culture & Benefits
- Hybrid working environment with in-office and/or in-person expectations communicated during recruitment.
- Health insurance, life insurance, retirement or pension plans, paid time off, and leave options.
- Performance-based incentives, employee stock purchase plan, and/or restricted stock units, subject to regional policies.
- Flexible environment supporting work-life balance, initiative, impact, ownership, and collaboration.
Hiring process
- Applications are reviewed through the company website.
- Some stages for select roles may use AI tools to support application evaluation and candidate selection.
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