Senior Backend AI Engineer

BrightEdge; Cleveland (OH); On-site; USD 130,000 - 160,000; Full time

Job summary

A leading tech firm in Cleveland is seeking a Senior Backend AI Engineer to architect intelligent systems that adapt to complex data environments. The ideal candidate has over 5 years of experience, particularly with Python, OLAP systems like ClickHouse and BigQuery, and expertise in cloud environments. This role offers the opportunity to develop autonomous infrastructures and drive AI integration within the company's data platform.

Qualifications

• 5+ years experience in software engineering.
• Deep expertise in production-level Python and AI model integration.
• Proven experience with OLAP systems, focusing on schema optimization.

Responsibilities

• Architect agentic pipelines using Python-based systems.
• Develop self-healing infrastructure for real-time data validation.
• Create robust integrations to handle diverse data sources.

Skills

Python

AI integration

OLAP systems

Distributed cloud systems

Adaptability

Education

Bachelor’s degree in Computer Science or Software Engineering

Tools

ClickHouse

BigQuery

Kafka

Flink

Spark

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 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 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.