Senior Backend AI Engineer

What You’ll Do

• Arcitect 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.
• Create robust integrations (APIs, Streaming, S3) that leverage AI to handle diverse, non-standardized data sources at massive scale.
• 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.