AI Agent Engineer (Autonomous Driving)
Core
Design and build autonomous driving evaluation agents using LLM/VLM and tool calling to automate the evaluation cycle, failure triage, and data generation for VLA models.
Role type
Senior IC AI Agent Engineer (Autonomous Driving)
Builds
Automated evaluation pipelines and agent systems for autonomous driving model validation
Domain
Autonomous driving, Machine Learning, AI Agents
Deliverable
production ML models
Required skills
Python, LLM/VLM development, tool calling, multi-step workflow design, agent reasoning loop design, failure analysis, dataset design, evaluation metrics design
Preferred skills
closed-loop simulation, VLM fine-tuning, causal reasoning, long-term memory/retrieval, multi-agent orchestration, LLM/VLM evaluator bias analysis
Technologies
Python, LLM, VLM
Responsibilities
Design agent reasoning loops and execution structures for VLM tool selection; Develop agent workflows for multi-stage driving evaluation and failure triage; Generate structured pseudo-labels for driving decisions based on agent evidence; Integrate agent workflows into closed-loop evaluation pipelines
Seniority
Senior, hands-on IC