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Senior Backend AI Engineer

BrightEdge
Posted 5 months ago, valid for 21 days
Location

Cleveland, Cuyahoga 44193, OH

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • BrightEdge is seeking a Senior Backend AI Engineer in Cleveland, OH to help rebuild their core data infrastructure into an AI-augmented processing engine.
  • The role involves architecting intelligent systems that autonomously adapt to complex data landscapes and building self-healing pipelines using Python and AI technologies.
  • Candidates should have over 5 years of experience and a Bachelor's degree in Computer Science or Software Engineering, with deep expertise in Python and AI integration.
  • Experience with OLAP systems like ClickHouse or BigQuery, as well as knowledge of cloud environments and real-time streaming tools, is required.
  • The position offers a competitive salary, reflecting the advanced skills needed to lead high-impact initiatives in AI-driven data processing.

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 

 

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