Senior Backend AI Engineer

Sr. Backend AI Engineer

Location: Cleveland, OH

Move beyond traditional ETL. At Bright Edge, 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.

• 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 Click House and Big Query
  , 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.

• 5+ years experience with a Bachelor’s degree in Computer Science or 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 Click House
  , Big Query
  , 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.