Applied AI Engineer (Internal Operations) at WorkFlex

WorkFlex seeks an Applied AI Engineer to serve as an internal force-multiplier embedded within operations teams. Rather than traditional ticket-taking, this role focuses on identifying and automating friction points across departments like Compliance, Customer Success, and Operations.

The position emphasizes orchestration over coding, leveraging Claude Code, Cursor, and agentic workflows to build solutions rapidly. Engineers will design independent sidecar applications and internal tools that integrate with the core Java/Angular platform via APIs.

Key Responsibilities

Embedded Discovery: Shadow compliance officers and success managers to identify high-impact automation opportunities

Rapid Prototyping & Deployment: Design and deliver internal agents, LLM interfaces, and research pipelines

Consultative Partnership: Report to Head of Technology; collaborate directly with department heads

Smart Integrations: Build API-based integrations with core platform systems

Advanced Workflow Development: Use Python, Node, or TypeScript for sophisticated agentic logic beyond low-code tools like n8n

Requirements

2+ years professional engineering background

Power-user proficiency with Claude and LLM tools; understanding of prompting, chaining, and output auditing

Tech-stack agnostic; comfortable selecting appropriate tools

Ability to translate non-technical stakeholder frustrations into solutions

Autonomous roadmap definition based on value delivery

Compensation & Benefits

Virtual Stock Options (VSOPs)

Premium AI tools and developer access

Remote work flexibility

Merit-based advancement culture

Tech Stack: Claude (primary AI tool), Python, Node.js, TypeScript