Staff AI Acceleration Engineer

Dave
United States
Workplace: RemoteFull timeUSD 208,000 - 289,000 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Technical leadership","Collaboration","Architectural judgment","Influence without authority"]

Define the technical foundation for Dave’s AI Agent Factory, including reusable frameworks, deployment standards, and observability. Architect an MCP server–based AI-ready data access layer that securely connects LLMs to governed enterprise data through authentication, authorization, auditability, PII protection, and responsible AI governance. Partner with Data Engineering, Security, and Product to establish semantic consistency and evaluation frameworks for reliable, production-ready agent performance.

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Dave
Dave
3 weeks ago

Staff AI Acceleration Engineer

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Define the technical foundation for Dave’s AI Agent Factory, including reusable frameworks, deployment standards, and observability. Architect an MCP server–based AI-ready data access layer that securely connects LLMs to governed enterprise data through authentication, authorization, auditability, PII protection, and responsible AI governance. Partner with Data Engineering, Security, and Product to establish semantic consistency and evaluation frameworks for reliable, production-ready agent performance.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •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 for secure LLM reasoning over governed enterprise data.
  • •Architect integrations between AI agents and Dave’s semantic layer to keep business definitions consistent across analytics, reporting, and AI experiences.
  • •Establish governance-by-design patterns for authentication, authorization, auditability, PII protection, and responsible AI deployment.
  • •Partner with Engineering, Data, Security, and Product to set technical standards and ensure agent quality and operational performance prior to production.

Pay and Benefits

Salary: USD 208,000 - 289,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kParental LeaveRemote WorkHome OfficePaid Leave

Key Requirements

  • •Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, Information Systems, or a related technical field.
  • •8+ years of experience in software, 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 secure systems that connect LLMs to structured enterprise data via APIs, semantic layers, retrieval systems, or governance frameworks.
  • •Experience designing MCP servers and AI connectivity patterns such as function-calling and tool-use architectures.
Experience:8+ yearsFintechRegulated industries
Education:Bachelor's
Skills:Technical leadershipCollaborationArchitectural judgmentInfluence without authority
Tech Stack:SnowflakeDbtAirflowKafkaPythonKubernetesCloud-native technologiesLLMsMCPAPIsSemantic layerRetrieval systemsAuthenticationAuthorizationAuditabilityPII protectionObservabilityEvaluation frameworksCI/CDMonitoring

Company Brief

Dave
Dave is a U.S. neobank offering banking accounts, cash advances (ExtraCash), budgeting tools, credit-building features, and a Side Hustle marketplace to help everyday consumers manage short-term liquidity and build financial health.
Industry: Neobanking
Company Size: Large (251 to 1,000 employees)
Revenue: USD 250M to 500M
Growth: Public Company
Valuation: Unicorn (USD 1B+)
Funding: IPO / Publicly Listed
Headquarters: Los Angeles, United States
Founded: 2016
Glassdoor
Glassdoor: 4.0
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