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Dave

Staff AI Acceleration Engineer

RemoteUnited States only
Published
Role
AI / ML
Experience
Staff
Employment
Full-time
$208k–$289k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Staff-level AI/ML/platform engineer (8+ years) to define architecture and platform for LLM-powered agents and an AI Agent Factory. Must have experience connecting LLMs to governed enterprise data and building production AI/ML infrastructure; strong experience with Snowflake, dbt, Airflow, Kafka, Python, and Kubernetes. Remote within the United States (Hawaii excluded).

Core skills

LLMsMCP serverssemantic layer

Required skills

SnowflakedbtAirflowKafkaPythonKubernetescloud-native technologiesfunction-calling frameworksAPIsretrieval systemssemantic layers

Optional skills

dbt MetricsLookMLAI evaluation frameworksdata lineagegovernance automation systems

What you'll do

  • Define the architecture and technical strategy for Dave’s AI Agent Factory, including reusable frameworks, evaluation patterns, deployment standards, and observability.
  • Design the MCP server architecture and AI-ready data access layer that enables LLMs to securely reason over governed enterprise data.
  • Architect integrations between AI agents and Dave’s semantic layer so business definitions remain consistent across analytics, reporting, and AI experiences.
  • Establish governance-by-design patterns for authentication, authorization, auditability, PII protection, and responsible AI deployment.
  • Design evaluation frameworks that measure agent quality, reliability, and operational performance before production deployment.

What they require

  • Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, Information Systems, or a related technical field.
  • 8+ years of experience in software engineering, platform engineering, data engineering, ML infrastructure, or AI engineering.
  • Experience architecting and delivering production-grade AI platforms, LLM-powered applications, or autonomous agent systems.
  • Deep experience designing systems that securely connect LLMs to structured enterprise data through APIs, semantic layers, retrieval systems, or governance frameworks.
  • Experience with Snowflake, dbt, Airflow, Kafka, Python, Kubernetes, and cloud-native technologies.

Benefits

  • Flexible hours and virtual-first work culture with a home office stipend
  • Premium Medical, Dental, and Vision Insurance plans
  • Generous paid parental and caregiver leave
  • 401(k) savings plan with matching contributions
  • Flexible PTO and generous company holidays, including Juneteenth and Winter Break

television channel which is available in the United Kingdom and Ireland

FintechMid-sizedave-tv.co.uk/
$208k–$289k/yr