AI Engineer
Summary
The AI Engineer will develop and optimize LLM-based systems for automotive applications, focusing on edge deployment, RAG implementation, and agent orchestration. The role involves training recommendation models, ensuring production stability, and implementing AI guardrails.
- Block sensitive content
- Build context engines for personalization
- Build evaluation benchmarks
- Build multi intent understanding
- Build multi zone control
- Compress and optimize models for edge deployment
- Design agent orchestration architectures
- Develop planning and memory systems
- Ensure production stability with MLOps
- Evaluate LLM performance
- Fine-tune LLMs
- Implement AI guardrails for hallucination control
- Implement RAG for automotive domains
- Implement function tool calling
- Manage routing between domains
- Optimize on device inference
- Protect personal data
- Research LLMs
- Resolve task conflicts
- Train recommendation models