Staff Software Engineer - AI Engineer
Core
Build and operate an AI-native control plane and gateway for LLMs and agentic systems, enabling real-time intelligence and personalized experiences for the automotive retail ecosystem.
Role type
Staff Software Engineer (AI/ML Platform)
Builds
LLM control plane, agent runtime, unified API/SDKs, and classical ML pipelines for dealership operations.
Domain
Automotive retail technology, Large Language Models (LLM), Agentic AI, MLOps
Deliverable
production ML models | product features | infrastructure
Required skills
Large-scale distributed systems, Python, Java/Scala/Go, MLOps at scale, LLM gateway/control plane design, Agentic systems orchestration, Knowledge graphs, Vector search, Cloud infrastructure (AWS/Kubernetes)
Preferred skills
Platform-as-product mindset, Systems thinking, Cost-aware engineering, Vendor-agnostic model selection, Technical mentorship
Technologies
Python, Java, Scala, Go, AWS, Docker, Kubernetes, Airflow, Kubeflow, MLflow, Spark, Flink, Kafka, Neo4j, Neptune, TigerGraph, GraphQL, pgvector, Qdrant, Milvus, XGBoost, LightGBM
Responsibilities
Build LLM control plane with smart routing, rate limits, and cost tracking; Ship unified API/SDKs with observability; Enforce safety/privacy via content filtering and PII redaction; Enable multi-vendor LLM usage with canarying; Own agent runtime including tool registry and function calling; Design orchestration patterns for agentic workflows; Build pipelines for classical ML training and scoring; Monitor model/data drift and manage retraining; Implement human-in-the-loop review; Evolve domain graphs and data ingestion pipelines; Serve real-time context to agents; Power hybrid search retrieval; Run continuous model evaluations; Define SLOs for latency, uptime, and cost; Maintain model registry and audit trails; Provide developer tools and mentor teams on MLOps.
Seniority
Staff, hands-on IC with strategic scope
