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Senior Backend AI Engineer

Job

BrightEdge

Cleveland, OH (In Person)

Full-Time

Posted 8 weeks ago (Updated 7 weeks ago) • Actively hiring

Expires 5/27/2026

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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 \n \n

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