Senior AI & Business Operations Engineer

The role

You will build an enterprise-grade AI Agent platform to drive business productivity and operational decision-making. This role involves designing Agent systems that connect AI models to enterprise data and business systems for automated execution.

What you will do

• Design and implement an enterprise-grade AI Agent platform supporting task understanding, planning, and execution.
• Build a unified Tools Layer to enable Agents to invoke CRM, ERP, and data platforms.
• Design multi-Agent and multi-step collaboration mechanisms for complex business workflows.
• Build cross-system task orchestration capabilities to achieve a closed loop from insights to execution.
• Build AI Copilot and Agent capabilities to support sales operations and customer engagement.
• Collaborate with management to identify AI application scenarios in revenue, cost control, and risk management.
• Build an enterprise-grade Retrieval-Augmented Generation (RAG) system.
• Design security and governance mechanisms for AI systems.
• Build AI system observability capabilities including logging, tracing, and metrics.
• Lead system architecture design and drive AI capabilities from PoC to scaled deployment.

Required qualifications

• Bachelor’s degree or above in Computer Science or a related field.
• 7+ years of software engineering experience.
• 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.
• Familiarity with RAG, vector databases, retrieval, and reranking mechanisms.
• Experience with API design, system integration, and distributed architecture.
• Cloud-native experience with AWS/GCP, Docker, and Kubernetes.
• Familiarity with OAuth2/OIDC, access control, and security-by-design principles.
• Ability to translate business problems into AI solutions.
• Strong cross-functional communication and influence skills.

Nice to have

• Experience with OpenClaw or similar Agent / automated execution frameworks.
• Experience building enterprise-grade AI platforms or internal tooling platforms.
• Experience with CRM, ERP, RevOps, or commercial systems.
• Experience combining AI with data platforms or BI systems.
• Familiarity with multi-Agent collaboration and complex workflow orchestration.
• Proven track record of using AI to drive measurable improvements in business KPIs.
• Experience leading enterprise AI transformation or scaling AI deployments.
• Experience with IT / infrastructure automation (API / SSH / network devices).

Benefits

• Healthcare + dental + vision benefits (Free for you/discounted for family)
• 401(k) options
• Casual dress code + relaxed work environment

About the company

Faraday Future (FF) is a California-based mobility company producing user-centric, technology-first vehicles.