AI Workflows & Safety Decision Making Intern [2027]
Core
Develop and deploy internal AI tools and agentic workflows to empower safety operators and analysts to make faster, data-driven safety decisions for vehicle deployment and operations.
Role type
Intern, AI workflow and safety decision support engineer
Builds
AI-assisted decision tools, agentic workflows, and risk reporting pipelines for safety-critical operational systems
Domain
Autonomous vehicle safety operations and AI application
Deliverable
production ML models
Required skills
Python, object-oriented programming, LLM APIs, agentic workflows, AI tool deployment, API development, internal web dashboards, analytical problem-solving
Preferred skills
AI/ML in autonomous systems, safety analytics, risk management, evaluation harness design for generative AI, SQL/NoSQL, data warehousing
Technologies
LangChain, LlamaIndex, Claude, Cursor, Streamlit, FastAPI, Flask
Responsibilities
Design and prototype agentic workflows to automate safety evaluations; characterize LLM capabilities and failure modes; connect generative AI agents to safety databases for real-time synthesis; collaborate with safety strategists and software engineers to test prototypes.
Seniority
Intern
