4 часа назад
Staff AI Data Platform Engineer
138 500 - 173 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff AI Data Platform Engineer (AI/Data Platforms): Building secure integrations, MCPs, API gateways, RAG pipelines, vector databases, and model provider gateways that connect business data to AI capabilities with an accent on distributed systems, data security, and cloud infrastructure. Focus on designing scalable platform architecture, implementing production AI systems, and driving end-to-end engineering projects across a matrixed organization.
Location: San Ramon, California or Reno, Nevada, United States
Salary: $138,500–$173,000 typical starting range
Company
provides a front-to-back system of record for investment managers, combining real-time data and embedded AI to automate complexity and improve client experiences.
What you will do
- Design and ship secure MCPs and API integrations connecting data sources with business capabilities.
- Help define the architecture and strategy for how data is stored, persisted, and connected.
- Build and improve model provider gateways, RAG pipelines, and vector database implementations.
- Design and scale distributed systems with attention to consistency, availability, performance, and security.
- Drive projects from problem identification through delivery with minimal handholding.
- Mentor peers and raise the technical standard as the engineering team scales.
Requirements
- 7+ years of senior-level engineering experience with end-to-end ownership of technical problems.
- Experience building secure API integrations and understanding modern authentication patterns, including OAuth 2.0 and SSO.
- Practical AI experience, including use of AI-assisted coding tools such as Claude Code or Cursor.
- Experience with modern data platforms such as Snowflake and vector databases including Pinecone, Weaviate, or pgvector.
- Familiarity with data lineage, access control, and data quality practices.
- Cloud engineering fundamentals with AWS, infrastructure as code using Terraform or similar, and production-quality Python or comparable language development.
Nice to have
- Production experience with RAG pipelines, LLMs, and vector database implementations.
- Exposure to model provider gateways or local and open-source model routing.
- Personal AI projects, local model deployments, or agent-to-agent workflows.
- Experience mentoring junior and mid-level engineers.
Culture & Benefits
- Close-knit engineering team working in a matrixed environment with security, platform, and leveraged engineering groups.
- Autonomy to build modern solutions and contribute to technical strategy.
- Company stock plan subject to the applicable agreement.
- Unlimited vacation and educational and wellness reimbursements.
- $0-cost employee insurance plans and opportunities for career advancement.
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