AI Engineer – Enterprise, Data & AI

Zoox

AI Engineer responsible for AI development and deployment initiatives at Zoox. Working on transforming operations across various corporate functions through automation and AI technologies.

Posted 7/13/2026full-timeFoster City • California • 🇺🇸 United StatesMid-LevelSenior💰 $190,000 - $250,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing production-grade LLM applications, with a strong focus on data ingestion, vector database integration, and AI automation. Proven ability to optimize deployment processes and ensure security and data privacy in large-scale enterprise environments.

Highest-signal resume keywords

Python ProficiencyLangChain FrameworkAWS BedrockAI Workflow DevelopmentGenAI/LLM Deployment

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data EngineeringSoftware EngineeringData SciencePrompt EngineeringModel EvaluationFine-TuningLatency OptimizationCost ManagementPerformance MonitoringBusiness Requirement Translation

Soft Skills

Cross-Functional CollaborationProblem Solving

Tools & Technologies

LlamaIndexAutoGenPineconeWeaviateMilvusOpenSearchGoogle Vertex AI

Industry Keywords

AI AutomationData PrivacySecurity StandardsEnterprise Environment

Tech Stack

Tools & technologies

AWSCloudPython

About the role

Key responsibilities & impact

Design and implement production-grade LLM applications, managing the full stack framework from data ingestion and vector database integration to prompt engineering, fine-tuning and model evaluation.
Build and deploy sophisticated intelligent agents capable of complex reasoning, secure tool usage, and autonomous execution of multi-step business workflows.
Own the deployment process, including self-healing systems, latency optimization, cost management and robust performance monitoring and alerting in a large-scale enterprise environment.
Partner closely with cross-functional teams (Legal, Finance, HR etc.) to identify operational bottlenecks and translate them into efficient, code-driven AI automation.
Implement rigorous standards for security, data privacy and accuracy, ensuring the AI framework to integrate seamlessly with existing corporate infrastructure.

Requirements

What you’ll need

5+ years in Data Engineering, Software Engineering, or Data Science, with at least 2+ years of hands-on experience deploying GenAI/LLMs in a production enterprise environment.
Deep proficiency in Python and frameworks such as LangChain, LlamaIndex, or AutoGen.
Experience with cloud AI services (AWS Bedrock, or Google Vertex AI) and vector databases (Pinecone, Weaviate, Milvus or OpenSearch).
Experience building agents and AI workflows.
Proven ability to translate "business pain" into "technical requirements."

Benefits

Comp & perks

Health insurance
Paid time off (e.g. sick leave, vacation, bereavement)
Unpaid time off
Zoox Stock Appreciation Rights
Amazon RSUs
Long-term care insurance
Long-term and short-term disability insurance
Life insurance