Senior AI Full-Stack / Applications Engineer

OKX•San Jose, CA

17h•$178,000 - $321,000

About The Position

OKX’s Internal Audit function has an early-stage, working AI-native capability: live dashboards, agentic workflows, and AI-powered apps that let a very small team punch far above its weight. Your job is not to rebuild it at today’s maturity. Your job is to take it to a regulator-grade production standard and well beyond, and to drive AI Enablement across the department. You own the products people touch: the real-time dashboards that drive Chief Audit Executive and board reporting, the computer-assisted audit technique (CAAT) and continuous-monitoring surfaces auditors work from, and the agentic, AI-powered apps that make the team faster, and you get auditors to adopt them. You build on the platform’s runtime and harness rather than reinventing them. We hire on demonstrated building, not on claims or credentials. We expect you to be more capable than the hiring manager in your domain: you will co-own and challenge the tooling strategy, not just implement it. This is a two-person engineering team: you deploy, debug, and hotfix your counterpart’s stack when needed.

Requirements

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).
Strong SQL and data modeling.
True full-stack experience: 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).
Proven real-time / streaming data visualization with drill-through to underlying evidence.
Experience with 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.
Experience with data protection at the app layer and audit-trail thinking (access controls, evidence, defensible handling), backed by automated testing and documentation.
Ability to build applications that could withstand external audit, by design.
Experience shipping inside locked-down enterprise environments (TLS-intercepting proxies, endpoint detection and response tooling, restricted installs, security guardrails) without treating security as someone else’s problem.
Experience integrating third-party systems (JIRA, Google Workspace, SaaS APIs).
Experience partnering with non-technical users to drive adoption.

Nice To Haves

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.

Responsibilities

Develop and maintain AI-native capabilities including live dashboards and agentic workflows.
Elevate AI capabilities to a regulator-grade production standard.
Drive AI Enablement across the Internal Audit department.
Own and develop real-time dashboards for Chief Audit Executive and board reporting.
Build and enhance computer-assisted audit technique (CAAT) and continuous-monitoring surfaces for auditors.
Develop agentic, AI-powered applications to improve team efficiency.
Ensure auditor adoption of developed products.
Build on existing platform runtimes and harness them.
Deploy, debug, and hotfix a counterpart's stack as needed in a two-person engineering team.
Propose, prove, and adopt better tools as demand and capabilities evolve.
Integrate third-party systems (JIRA, Google Workspace, SaaS APIs).
Partner with non-technical users to drive adoption.