AI Engineer (USC - W2 candidates only)
Role details
Job location
Tech stack
Job description
bridges the gap between advanced AI models (like LLMs) and practical enterprise workflows. Unlike traditional software engineers, FDEs embed directly with business units in highly regulated environments to build, integrate, and deploy secure, AI-powered solutions. The client frequently recruits for these positions to embed agents, copilots, and automation directly into their Consumer, Commercial, and Wholesale banking operations in hubs like Charlotte, NC, Irving, TX, and Chandler, AZ. Core Responsibilities * Prototyping & Building: Designing and rapidly iterating on AI-driven workflows that integrate with enterprise tools (e.g., Salesforce, ). * Stakeholder Translation: Translating ambiguous business problems into functional, production-ready technical solutions.
- Risk & Compliance: Navigating the clients strict model risk management, governance, and data protection requirements., Join a dynamic team as a Frontend Software Engineer, where you will play a crucial role in developing exceptional user interfaces for high-impact customer projects. Your expertise …
- 8 hours ago, This role offers a unique opportunity to leverage your expertise in shaping the future of AI systems. As an Engineer across all domains, you will contribute to the development of n…
- 1 day ago
Requirements
Typical Requirements * Software Depth: 7+ years of software engineering experience with deep proficiency in Python and distributed systems.
- AI/ML Experience: 2+ years building and integrating AI applications or working with Large Language Models (LLMs).
- Enterprise Background: Experience designing APIs and deploying systems within large, matrixed organizations.
Benefits & conditions
- $40.00-50.00 per hour, + $20.00-45.00 per hour