Senior Backend AI Engineer

6 months ago

Cleveland, OH, USASenior

H1B sponsor

Responsibilities

Architect Python-based agentic pipelines using LLMs and AI agents to discover, parse, and map unstructured data.
Develop self-healing infrastructure that diagnoses upstream failures, adapts to API schema changes, and performs real-time data validation.
Design and manage low-latency data flows into ClickHouse and BigQuery using high-performance OLAP architecture.
Build scalable integrations for APIs, streaming sources, and S3 that handle diverse, non-standardized data.
Lead AI-assisted testing and observability practices and mentor the engineering team.
Own high-impact initiatives for the global data platform.

5+ years of experience and a bachelor’s degree in Computer Science or Software Engineering.
Deep production-level Python expertise and experience integrating AI models or LLMs into backend services or data workflows.
Proven experience with ClickHouse, BigQuery, or Snowflake, including schema optimization and materialized views for large-scale datasets.
Strong distributed systems experience in GCP or AWS and with real-time streaming tools such as Kafka, Flink, or Spark.
Experience leading high-impact initiatives and owning major platform work.

501-1,000 employees