Senior Staff AI Data Platform Engineer at Ridgeline

Department: IT

Compensation

$138,500 – $173,000/yr

Location: Reno, Nevada · San Ramon, California
Type: Full-time
Level: staff+
Posted: Jul 23, 2026

Description

Ridgeline is hiring a Senior Staff AI Infrastructure Engineer in San Ramon, California or Reno, Nevada to build secure MCPs, API integrations, model provider gateways, RAG pipelines, and vector-database infrastructure. The role owns data connectivity and AI platform architecture, requires 10+ years of senior engineering experience, distributed-systems expertise, secure API design, AI fluency, modern data-platform knowledge, cloud and infrastructure-as-code skills, and production-quality Python or comparable coding. The typical starting salary is $138,500-$173,000, with company stock and employee insurance benefits.

Required Skills

MCPs
API integrations
Distributed systems
RAG pipelines
Vector databases
AWS
Terraform
Python
OAuth 2.0
Data lineage

Additional Information

Required Previous Experiences: 10+ years of senior-level engineering experience
Experience designing and scaling distributed systems
Hands-on experience building secure API integrations
Real AI fluency, personally and professionally
Experience with modern data platforms beyond relational databases
Familiarity with data lineage, access control, and data quality practices
Cloud engineering, infrastructure-as-code, and production-quality Python or comparable coding
Preferred Qualifications: Experience with RAG pipelines, LLMs, and vector database implementations in production
Exposure to model provider gateways or local/open-source model routing
Personal AI projects involving local models or agent-to-agent workflows
Experience mentoring or upleveling junior and mid-level engineers
Translation Company Name: Ridgeline

About Ridgeline

Ridgeline

investment managers

Ridgeline knows that Compliance impacts every part of your business, so we’ve built a robust compliance engine to match. Keeping operations compliant despite shifting regulations and client preferences can be difficult and expensive without the right tools.

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