Senior Backend AI Engineer

Job Description

Job Description

Sr. Backend AI Engineer  

Location: Cleveland, OH  

Role Overview Move beyond traditional ETL. At BrightEdge, we are rebuilding our core data infrastructure into an  AI-augmented processing engine . We’re looking for a Senior Backend Engineer to architect "intelligent" systems that don't just move data, but understand it. You will build self-healing pipelines and agentic workflows that allow our platform to autonomously adapt to complex, shifting data landscapes.  

What You’ll Do  

Architect Agentic Pipelines: Build Python-based backend systems that utilize LLMs and AI agents to automate the discovery, parsing, and mapping of unstructured data. 

Build Self-Healing Infrastructure: Develop autonomous reliability layers that diagnose upstream failures, adapt to API schema changes, and perform real-time data validation without manual intervention. 

Optimize High-Velocity Analytics: Design and manage low-latency data flows into  ClickHouse and  BigQuery , ensuring our AI-driven insights are backed by high-performance OLAP architecture. 

Scale Intelligent Connectors: Create robust integrations (APIs, Streaming, S3) that leverage AI to handle diverse, non-standardized data sources at massive scale. 

Engineering Leadership: Drive best practices in AI-assisted testing and observability, mentoring the team on the intersection of traditional backend stability and modern AI capabilities.  

What You Bring  

5+ years experience with Bachelor's degree in Computer science, Software Engineering

Python & AI Mastery: Deep expertise in production-level Python. You’ve successfully integrated AI models/LLMs into backend services or data workflows. 

OLAP Power User: Proven experience with  ClickHouse, BigQuery, or Snowflake , specifically in schema optimization and materialized views for large-scale datasets. 

Distributed Systems Expertise: Strong background in cloud environments (GCP/AWS) and real-time streaming tools like  Kafka, Flink, or Spark . 

Adaptive Mindset: You don't just build to a spec; you build systems that anticipate and recover from environment changes autonomously. 

Product Ownership: A track record of leading high-impact initiatives and a desire to own the "brain" of a global data platform