Senior Machine Learning Engineer
Core
Build and run the LLM control plane/gateway, agent runtime, and orchestration patterns to power AI features for automotive retailers and manufacturers, while maintaining classical ML pipelines.
Role type
Senior Machine Learning Engineer (LLM Infrastructure & Agentic Systems)
Builds
LLM control plane, agent runtime, unified API/SDKs, and classical ML training/scoring pipelines for the Automotive Retail Cloud and Enterprise Cloud.
Domain
Automotive retail technology, Large Language Models (LLM), Agentic AI, and Classical Machine Learning.
Deliverable
production ML models | product features | infrastructure
Required skills
LLM orchestration, agent runtime design, API/SDK development, safety guardrails, multi-vendor LLM integration, classical ML pipeline engineering, data drift monitoring, entity resolution.
Preferred skills
Graph-based contextual ecosystems, retrieval-augmented generation (RAG), human-in-the-loop systems, streaming workflows.
Technologies
REST/gRPC, XGBoost, LightGBM, LLM gateways, agent frameworks, observability tools.
Responsibilities
Build and run the LLM control plane/gateway with smart routing and cost tracking; Ship unified API and SDKs with 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 for retraining; Create components for human-in-the-loop review; Evolve the domain graph and build data ingestion pipelines.
Seniority
Senior, hands-on IC
