4 дня назад
Principal Engineer, AI Platform
253 000 - 316 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Engineer, AI Platform (Agentic AI/RAG): Architecting and delivering Ridgeline's customer-facing AI platform, including agentic systems, external data integrations, model routing, and code execution with an accent on scalability, reliability, security, and responsible AI adoption. Focus on designing production agent loops, tool calling, structured responses, MCP, retrieval-augmented generation, and token-efficient model usage across engineering teams.
Location: San Ramon, CA; Reno, NV; New York, NY; or Remote - USA
Salary: $253,000–$316,000 annually; $278,000–$347,500 annually in select locations including the San Francisco Bay Area and New York City Metro Area.
Company
provides a front-to-back system of record for investment managers, combining real-time data and embedded AI to modernize investment management software.
What you will do
- Define technical strategy and architecture for the AI platform and shared AI capabilities.
- Lead scalable, reliable, secure, and responsible adoption of AI platform capabilities across engineering teams.
- Resolve systemic platform obstacles and help migrate one-off AI solutions to shared platform capabilities.
- Establish engineering, reliability, and AI model evaluation standards for production systems.
- Architect retrieval-augmented generation integrations with third-party data stores, model routing, and code execution systems.
- Partner with Engineering, Product, Data, and other functions to evaluate new AI features and align technical decisions.
Requirements
- 15+ years of software engineering experience with deep systems architecture expertise.
- Production experience building and shipping AI-powered products, including agentic loops, structured responses, tool calling, MCP, and RAG.
- Experience designing scalable system architectures and establishing software development, reliability, and model evaluation standards.
- Full-stack AI product development experience with proficiency in Kotlin, TypeScript, and React.
- Experience with Anthropic and/or OpenAI models and APIs.
- Proven ability to drive architectural decisions, align stakeholders, integrate third-party data, and improve model performance and token efficiency.
Nice to have
- Experience with multi-agent systems, AI agent orchestration, or advanced model evaluation.
- Background in financial services or investment management.
- Open-source AI/ML contributions or relevant publications.
Culture & Benefits
- Cross-company collaboration in a high-agency engineering culture.
- Opportunities for career advancement and direct product impact.
- Unlimited vacation.
- Educational and wellness reimbursements.
- $0-cost employee insurance plans and participation in the Company Stock Plan.
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