AI Engineer – Enterprise, Data & AI

📋 Description

• Design and deploy production-grade LLM apps across data ingestion and vector DB integration.
• Build and deploy intelligent agents for complex reasoning and multi-step workflows.
• Own deployment with self-healing, latency optimization, and cost management.
• Partner with Legal, Finance, HR to translate bottlenecks into AI automation.
• Implement security, data privacy, and accuracy standards integrating with enterprise infra.

🎯 Requirements

• 5+ years in data/software engineering or data science; 2+ years deploying GenAI/LLMs in production.
• Strong Python skills and experience with LangChain, LlamaIndex, or AutoGen.
• Experience with cloud AI services (AWS Bedrock or Vertex AI) and vector DBs.
• Experience building AI agents and AI workflows.
• Ability to translate business needs into technical requirements.
• Bonus: experience with RAGAS/Arize; quantization/LoRA; autonomous vehicle/robotics.

🎁 Benefits

• Paid time off and unpaid time off.
• Zoox Stock Appreciation Rights and Amazon RSUs.
• Health insurance.
• Long-term care insurance.
• Long-term and short-term disability insurance.
• Life insurance.