# AI Engineer

**Company:** [Zoox](https://hotfix.jobs/companies/zoox)
**Location:** Foster City, CA
**Role:** ML Engineering
**Salary:** $190k – $250k/yr
**Experience:** 5+ years
**Skills:** Python, LangChain, Llamaindex, Autogen, Aws Bedrock, Google Vertex Ai, Pinecone, Weaviate, Milvus, Opensearch, LLMs, RAG, Generative AI
**Posted:** 2026-07-09

> Build and deploy production GenAI/LLM applications and intelligent agents to automate workflows across Procurement, Supply Chain, Legal, Finance, HR, and Marketing. Requires 5+ years engineering experience including 2+ years production LLMs, Python, LangChain/LlamaIndex, and cloud AI/vector DB tools.

## Job Description

## Responsibilities
- Design and implement production-grade LLM applications, managing the full stack 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.

## Requirements
- 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.

## Nice-to-Haves
- 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.

## Similar roles

- [Software Engineer, Applied AI](https://hotfix.jobs/jobs/be4d97f1-9f2f-4973-bac2-0de1198d845e) - Norm Ai - New York, NY - $190k – $280k/yr
- [ML Engineer](https://hotfix.jobs/jobs/98ad2c38-046c-4b23-9f02-cb395af69959) - Sesame - San Francisco, CA - $190k – $320k/yr
- [Data Scientist, Underwriting](https://hotfix.jobs/jobs/4a054585-2634-407e-aa40-182679349330) - Parafin - San Francisco, CA - $190k – $300k/yr
- [Software Engineer - Behavior Capabilities](https://hotfix.jobs/jobs/07184ed0-bd8d-46fe-92cd-a18258309fb4) - Zoox - Foster City, CA - $189k – $270k/yr
- [Software Engineer - Learned Trajectory Machine Learning Engineer](https://hotfix.jobs/jobs/58417c3f-47c5-46eb-8ffb-27ad8502a9a3) - Zoox - Foster City, CA - $189k – $270k/yr

**Apply:** https://hotfix.jobs/jobs/3e81f9d7-b85f-486a-849e-d1417b241b1e
**Canonical:** https://hotfix.jobs/jobs/3e81f9d7-b85f-486a-849e-d1417b241b1e