Staff AI/Data Engineer

Responsibilities

• Build the knowledge layer for Superads' AI agents to enable deep brand understanding and reasoning.
• Design how brand knowledge is represented, stored, and continuously updated to mimic senior strategist judgment.
• Develop agentic search capabilities that allow agents to identify knowledge gaps and navigate information dynamically.
• Evaluate and iterate on architectures for knowledge retrieval and reasoning to improve reliability.
• Translate emerging AI research into production-ready systems that enhance output quality.
• Partner with product and AI engineering teams to ensure infrastructure improvements drive direct user impact.

Requirements

• 8+ years of experience in high-performance engineering environments.
• Proven track record of building agentic workflows and RAG systems in production.
• Deep understanding of LLM knowledge representation, memory architectures, and reasoning under uncertainty.
• Proficiency with Python and FastAPI.
• Experience with LangChain or LangGraph for building multi-agent systems.
• Hands-on experience with cloud data platforms such as Snowflake, BigQuery, or Databricks.

About the Company

Superside is a remote-first creative subscription platform. Through Superads, we are building AI agents that help marketers make better creative decisions by reasoning through strategy on their behalf. We are a global community spanning 60+ countries, dedicated to accelerating the world's transition to online work.