AI Engineer – Enterprise, Data & AI

Zoox; Foster City (CA); On-site; USD 206,000 - 250,000; Full time

Benefits offered by this job

Zoox Stock Appreciation Rights

Amazon RSUs

Health insurance

Paid time off

Job summary

Zoox is seeking a hands‑on AI Engineer to lead end‑to‑end development and deployment of Enterprise Gen AI and LLM initiatives across functions like Procurement, Legal, Finance, HR and Marketing.

You will design production‑grade LLM apps, build intelligent agents, own deployment with self‑healing systems and monitor performance in a large‑scale enterprise environment, partnering with cross‑functional teams.

Qualifications

• 8+ years in Data Engineering, Software Engineering, or Data Science, with at least 2+ years deploying GenAI/LLMs in production.
• 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.

Responsibilities

• 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 integrates seamlessly with existing corporate infrastructure.

Skills

Python

LangChain

LlamaIndex

AutoGen

Data Engineering

Software Engineering

Data Science

Agent development

Tools

AWS Bedrock

Google Vertex AI

Pinecone

Weaviate

Milvus

OpenSearch

Job description

Zoox is seeking a highly motivated, hands‑on AI Engineer to spearhead the end‑to‑end development and deployment of our Enterprise Gen AI and LLM initiatives. You will serve as the primary technical driver for establishing guard rails, building AI agents and automated workflows that fundamentally transform operations across Procurement, Supply Chain, Legal, Finance, HR and Marketing. This is an engineering‑intensive role for a self‑starter who thrives on developing, implementing and scaling production‑ready AI systems that add business value by solving complex cross‑functional challenges.

In this role, you will:

• 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 integrates seamlessly with existing corporate infrastructure.

Qualifications:

• 8+ 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."

Bonus Qualifications:

• Previous experience building AI solutions for corporate functions like Finance, Legal (e.g. contract analysis), HR (e.g. policy retrieval) or Supply Chain (e.g. forecasting efficiency)
• Familiarity with automated evaluation pipelines such as RAGAS, Arize, or other LLM‑based evaluation metrics.
• Experience with techniques such as quantization, speculative decoding, or efficient fine‑tuning (LoRA/QLoRA) to improve model performance and reduce inference costs.
• Previous experience in the autonomous vehicle, robotics or high‑tech manufacturing sectors.

Compensation

$206,000 - $250,000 a year

Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign‑on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long‑term care insurance, long‑term and short‑term disability insurance, and life insurance.