Staff Software Engineer - AI Engineer
Core
Build and run the LLM control plane/gateway, agent runtime, and orchestration patterns for an AI-native automotive platform, while enabling classical ML pipelines for dealership operations.
Role type
Staff Software Engineer - AI Engineer (LLM & Agentic Systems)
Builds
LLM control plane, API/SDKs, agent runtime, and ML training/scoring pipelines for the Automotive Retail Cloud and Automotive Enterprise Cloud.
Domain
Automotive retail technology, Large Language Models (LLM), Agentic AI, and Classical Machine Learning.
Deliverable
production ML models | product features
Required skills
LLM orchestration, agent runtime design, API/SDK development, safety guardrails, multi-vendor LLM management, classical ML pipeline engineering, model monitoring, data drift detection.
Preferred skills
Graph-based contextual ecosystems, retrieval-augmented generation (RAG), human-in-the-loop systems, streaming workflows, planner-executor patterns.
Technologies
REST/gRPC, XGBoost, LightGBM, LLM Gateways, MCP (Model Context Protocol), Agent Frameworks.
Responsibilities
Build and run the LLM control plane/gateway with smart routing, rate limits, and failover; Ship unified API and SDKs with normalized schemas and full observability; Enforce safety and privacy via content filtering and PII redaction; Enable multi-model, multi-vendor LLM usage with automated canarying; Own the agent runtime including tool registry and function calling; Design orchestration patterns and manage agent state; Enable platform components for classical ML training and scoring pipelines; Monitor model and data drift to maintain accuracy; Add human-in-the-loop review before agents touch dealer systems.
Seniority
Staff, hands-on IC with architectural ownership
