Senior AI & Business Operations Engineer

Responsibilities

• AI Enablement for Sales & Commercial Systems : Build AI Copilot and Agent capabilities to support sales operations, lead management, and customer engagement. Integrate with CRM, CPQ, order management, and customer service systems to achieve deep fusion of AI and business processes.
• Observability & Platform Engineering: Build AI system observability capabilities including logging, tracing, and metrics. Monitor model calls, tool execution paths, latency, and costs. Drive platform engineering efforts to standardize and scale AI capabilities across the organization.

Requirements

• Bachelor's degree or above in Computer Science or a related field.
• 7+ years of software engineering experience, including 2-3 years of experience with AI/LLM/Agent systems.
• Strong backend engineering skills with proficiency in Python (core), or Java / Node.js.
• Hands-on experience building AI Agent / automated execution systems (tool calling, multi-step tasks, workflows).
• Familiarity with RAG, vector databases, retrieval, and reranking mechanisms

Additional Information

The Company: Faraday Future (FF) is a California-based mobility company, leveraging the latest technologies and world's best talent to realize exciting new possibilities in mobility. We're producing user-centric, technology-first vehicles to establish new paradigms in human-vehicle interaction. We're not just seeking to change how our cars work - we're seeking to change the way we drive. At FF, we're creating something new, something connected, and something with a true global impact. Your Role: As Senior AI & Business Operations Engineer , you will be responsible for building an enterprise-grade AI Agent platform that elevates large model capabilities from an "information generation tool" to "executable business productivity," driving AI to play a deep role in the company's core business processes and operational decision-making. You will lead the design and implementation of an enterprise-level Agent system similar to OpenClaw, connecting AI models, enterprise data, and business systems to deliver an end-to-end closed loop: task understanding → data retrieval → decision generation → automated execution. The platform will serve sales and commercial systems and gradually expand to enterprise operations and management scenarios.

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