AI Engineer III

$122,000 – $240,500 · Posted 2 days ago

San DiegoLast seen today

Summary

AI Engineer III will design and implement enterprise LLM applications using Claude, GPT, or Gemini, including RAG systems, prompt engineering, and tool/function calling. The role encompasses data engineering (pipelines, embeddings, vector search), ML infrastructure (feature serving, real-time inference), and DevOps/MLOps (CI/CD, Kubernetes, monitoring, cost optimization). Responsibilities include security and compliance (PII handling, prompt-injection defenses, IAM, encryption), production reliability, and cross-functional collaboration with security and operations teams. Requires 4+ years each in LLM/GenAI solutions, RAG/retrieval systems, modern data/AI engineering, enterprise platform integration, DevOps/DevSecOps, and security/compliance leadership.

Cybersecurity Data Science AI Docker Kubernetes Terraform API Design Audit Logging Automated Testing Backfills Batch Pipelines Caching Chunking CI CD Claude Cloudformation Codex Content Filtering Cost Telemetry Data Governance Data Lineage Data Modeling Data Quality DevOps Devsecops Document Ingestion Embeddings Encryption Evaluation Telemetry Event Driven Architecture Feature Engineering Feature Serving Function Calling Gemini Generative AI Gpt GraphQL Hybrid Search IAM Identity And Access Management Incident Response Infrastructure As Code Latency Slos LLM Large Language Models Llmops Machine Learning Metadata Management Microservices Middleware Mlops Monitoring Observability Online Offline Consistency Pii Handling Prompt Engineering Prompt Injection Defense Query Optimization RAG Retrieval Augmented Generation Real Time Inference Reproducibility REST Retrieval Augmented Generation Schema Evolution Secrets Management Streaming Pipelines Token Optimization Tool Calling Vector Search Versioning