Senior Backend AI Engineer

<strong>Sr. Backend AI Engineer</strong> <strong>Location:</strong> Cleveland, OH <strong>Role Overview</strong> Move beyond traditional ETL. At BrightEdge, we are rebuilding our core data infrastructure into an <strong>AI-augmented processing engine</strong>. 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.  <strong>What You’ll Do</strong> <strong>Architect Agentic Pipelines:</strong> Build Python-based backend systems that utilize LLMs and AI agents to automate the discovery, parsing, and mapping of unstructured data. <strong>Build Self-Healing Infrastructure:</strong> Develop autonomous reliability layers that diagnose upstream failures, adapt to API schema changes, and perform real-time data validation without manual intervention. <strong>Optimize High-Velocity Analytics:</strong> Design and manage low-latency data flows into <strong>ClickHouse</strong> and <strong>BigQuery</strong>, ensuring our AI-driven insights are backed by high-performance OLAP architecture. <strong>Scale Intelligent Connectors:</strong> Create robust integrations (APIs, Streaming, S3) that leverage AI to handle diverse, non-standardized data sources at massive scale. <strong>Engineering Leadership:</strong> Drive best practices in AI-assisted testing and observability, mentoring the team on the intersection of traditional backend stability and modern AI capabilities.  <strong>What You Bring</strong> 5+ years experience with Bachelor's degree in Computer science, Software Engineering <strong>Python & AI Mastery:</strong> Deep expertise in production-level Python. You’ve successfully integrated AI models/LLMs into backend services or data workflows. <strong>OLAP Power User:</strong> Proven experience with <strong>ClickHouse, BigQuery, or Snowflake</strong>, specifically in schema optimization and materialized views for large-scale datasets. <strong>Distributed Systems Expertise:</strong> Strong background in cloud environments (GCP/AWS) and real-time streaming tools like <strong>Kafka, Flink, or Spark</strong>. <strong>Adaptive Mindset:</strong> You don't just build to a spec; you build systems that anticipate and recover from environment changes autonomously. <strong>Product Ownership:</strong>A track record of leading high-impact initiatives and a desire to own the "brain" of a global data platform