Senior AI Full-Stack / Applications Engineer
$178,000–$321,000 year
On-siteSan Jose, California, United States
Job Summary
Build production-grade, AI-native dashboards and agentic workflows for real-time Chief Audit Executive reporting and board deliverables. Deploy, debug, and hotfix full-stack applications on AWS or GCP using React, Next.js, and multi-model architectures (Claude, OpenAI, Google) with plugins and human-in-the-loop validation. Own end-to-end delivery of computer-assisted audit techniques, continuous-monitoring surfaces, and document rendering pipelines while driving adoption among non-technical auditors. Co-own tooling strategy and challenge existing approaches to ensure regulator-grade standards. This role handles highly sensitive audit data within a global crypto exchange environment, requiring strict compliance with confidentiality and security guardrails.
Required Qualifications
- 6+ years building and maintaining full-stack web applications in production, owning them over time
- Strong engineering fundamentals: data structures and algorithms, fluent Python (or a comparable backend language), and strong SQL and data modeling
- True full-stack: from the data layer and SQL through resilient APIs to the UI, wired into the cloud (AWS or GCP)
- Strong front-end (React / Next.js and TypeScript, with real design and UX sense) and proven real-time / streaming data visualization with drill-through to underlying evidence
- Agentic AI features with responsible-AI practice: multi-step workflows, human-in-the-loop review, output validation, red-teaming, and honest handling of hallucination and error
- Data protection at the app layer and audit-trail thinking (access controls, evidence, defensible handling), backed by automated testing and documentation
- Experience integrating third-party systems (JIRA, Google Workspace, SaaS APIs) and partnering with non-technical users to drive adoption
- Must be able to lift 50 lbs
Desired Qualifications
- Model tooling across the Anthropic, OpenAI, and Google ecosystems; Model Context Protocol (MCP) integrations and plugin development; agent-based apps
- Business-intelligence (BI) and analytics tooling and executive or board reporting, including continuous-monitoring dashboards
- Crypto and blockchain literacy; regulated financial-services, fintech, or crypto experience
- Document and presentation rendering pipelines: programmatic Google Docs/Slides/Sheets APIs or OOXML generation to an executive brand standard
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