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Lead/Staff AI Acceleration Engineer

DaveNeobanking company
United StatesLead
Data & AI

About the role

Develop AI agent infrastructure and systems for safe data connection and deployment.

  • This is a foundational role on the AI Acceleration team, shaping systems for AI agent creation, data connection, and safe deployment.
  • You will create infrastructure and patterns for AI-driven workflows, focusing initially on analytics automation.
  • Key Responsibilities Build the AI Agent Factory with shared patterns and infrastructure.
  • Develop systems to connect LLMs to structured data safely.
  • Integrate with semantic layers for consistent business definitions.
  • Create evaluation and observability frameworks for AI systems.
  • Implement guardrails to reduce risk and prevent data misuse.
  • Requirements 6+ years in data engineering, ML engineering, AI infrastructure, or platform engineering.
  • Hands-on experience building LLM-powered applications in production.
  • Experience connecting LLMs to structured data safely and reliably.
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Tech stack

PythonAirflowdbtSnowflakeKubernetes

Match insights

Tech:Python, Airflow, dbt, Snowflake, Kubernetes
Level:Lead

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