AI Engineer II

$91,100 – $179,500 · Posted today

San DiegoLast seen today

Summary

Build and operationalize LLM-enabled applications (copilots, knowledge assistants, Q&A systems) using Claude, GPT, or Gemini, including prompt design, tool/function calling, and secure endpoints. Implement RAG patterns with document ingestion, embeddings, vector search, and retrieval evaluation. Design and deliver governed datasets, feature engineering/serving pipelines, and real-time inference services with production-grade API design, latency optimization, and reliability patterns. Lead platform and integration engineering across enterprise systems using REST, GraphQL, microservices, CI/CD, infrastructure-as-code, and DevSecOps practices, with demonstrated expertise in security controls, compliance, and data governance.

Cybersecurity Data Science AI Docker Kubernetes Terraform Access Controls API Design Audit Logging Batch Pipelines CI CD Claude Cloudformation Data Governance Data Modeling DevOps Devsecops Document Ingestion Embeddings Encryption Event Driven Architecture Feature Engineering Feature Serving Gemini Gpt Codex GraphQL Hybrid Search Identity And Access Management IAM Infrastructure As Code IAC LLM Application Patterns Machine Learning Microservices Middleware Monitoring Observability Online Offline Consistency Personally Identifiable Information Pii Prompt Engineering Real Time Inference REST Retention Policies Retrieval Augmented Generation RAG Sap Successfactors Secrets Management Streaming Pipelines Structured Unstructured Processing Tool Function Calling Vector Databases Workday