Senior Backend AI Engineer

@ BrightEdge

Senior Backend AI Engineer

Posted 4 months ago

This job is still taking applications, but it's been up a while.

About the job

BrightEdge is transforming data infrastructure into an AI-augmented engine. The role focuses on building intelligent, self-healing pipelines and scalable analytics systems to enhance data understanding and automation.

Requirements

5+ years experience with backend systems
Deep Python expertise
Experience with AI and LLMs
Knowledge of ClickHouse and BigQuery
Cloud environment proficiency

Qualifications

Bachelor's in CS or related field
Experience with cloud platforms
Strong understanding of distributed systems
Proactive problem-solving mindset

Full 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

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