AI Engineer

Summary

Builds and deploys Python scripts and LLM assistants to automate manual workflows in a fintech company, integrating AI with core systems.

Key Responsibilities:

Analyze departmental workflows to identify high‑friction activities such as manual data entry, document sorting, and repetitive email handling.
AI Automation: Design, build, and deploy Python scripts, LLM‑powered assistants, and low‑code solutions to automate identified inefficiencies.
Integrate core business systems with AI solutions to enable seamless, end‑to‑end data flow with minimal human intervention.
Rapidly prototype and test new automation ideas in a controlled environment before promoting them to live production.
Serve as a technical liaison, translating AI capabilities into practical solutions that address non‑technical teams’ day‑to‑day challenges.
Contribute to weekly "prompt syncs" by sharing successful automations, reusable code snippets, and key lessons learned across the strike team.
Continuously review AI outputs to ensure accuracy, fairness, and strict compliance with data security and governance standards.