AI Engineer

Overview

We’re seeking a pragmatic and highly skilled AI Engineer to join a fast‑growing Fin Tech company as their first dedicated AI hire. This is a rare opportunity to build AI capability from the ground up in a business that processes payments for leading global brands.

This AI engineering role focuses on creating the secure infrastructure that enables enterprise‑grade AI agents to interact safely with production payment systems.

You’ll be designing and implementing the company’s Model Context Protocol (MCP) capability – essentially building the bridge between modern AI agents (ChatGPT, Claude, Cursor) and critical business operations, while maintaining the security, compliance and reliability standards expected of financial technology.

• Design and build the company’s MCP server framework aligned to open standards.
• Create AI‑accessible API operations (refunds, gateway configuration, etc.) with strict permissioning and security guardrails.
• Implement authentication, authorization, logging, and full auditability for all AI agent interactions.
• Build and operate the AI knowledge retrieval layer using vector databases.
• Implement hybrid semantic/lexical search capabilities.
• Monitor, test, and optimize performance, reliability, and failure modes. Establish standards and patterns for future embedded AI capabilities.
• Shape the company’s AI strategy from an infrastructure and tooling perspective.
• Build internal AI capability and maintain technical documentation.
• Work cross‑functionally to integrate AI in ways that enhance developer productivity and internal operations.

• Backend engineering background with production‑level experience designing and operating APIs and platform services.
• Hands‑on LLM integration – practical experience working with OpenAI, Claude, Cursor, Gemini, or similar agent‑based AI systems.
• Experience with vector databases and modern search technologies.

• Seniority level:
  Entry level
• Employment type:
  
  Full‑time
• Job function:
  Information Technology