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 to integrate 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 like 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.
Skills Required
- 5+ years in Data Engineering, Software Engineering, or Data Science with at least 2+ years deploying GenAI/LLMs in production
- Deep proficiency in Python
- Experience with LLM frameworks such as LangChain, LlamaIndex, or AutoGen
- Experience with cloud AI services (AWS Bedrock or Google Vertex AI)
- Experience with vector databases (Pinecone, Weaviate, Milvus, or OpenSearch)
- Experience building agents and AI workflows and translating business problems into technical requirements
- Implementing security, data privacy, accuracy standards and deploying enterprise-scale AI systems (monitoring, cost/latency optimization)
- Previous experience building AI solutions for Finance, Legal, HR, or Supply Chain
- Familiarity with automated evaluation pipelines like RAGAS or Arize
- Experience with quantization, speculative decoding, or efficient fine-tuning techniques (LoRA/QLoRA)
- Previous experience in autonomous vehicles, robotics, or high-tech manufacturing
Zoox Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zoox and has not been reviewed or approved by Zoox.
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Healthcare Strength — Healthcare is extensive, with broad medical and vision options, company‑paid disability coverage, and multiple mental‑health resources. Feedback suggests coverage breadth and auxiliary programs support a wide range of needs.
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Parental & Family Support — Family supports include paid parental leave, additional pregnancy disability time, fertility coverage, and adoption/surrogacy assistance. Backup care and family‑oriented programs further reinforce support across life stages.
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Wellbeing & Lifestyle Benefits — Day‑to‑day perks are robust, including free daily meals, fitness subsidies, commuter support, and on‑site amenities. Feedback suggests these lifestyle benefits enhance convenience and workplace experience, especially for office‑based roles.
Zoox Insights
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation. From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
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