AI Acceleration Engineer

Dave vs. Goliath. We’re Dave.

Dave is a financial app on a mission to build products that level the financial playing field. It is redefining the financial landscape by leveraging technology to create an affordable, transparent, and user-centric access to liquidity for millions of Americans. As a leading innovator in the U.S. financial services sector, Dave’s digital financial platform offers products designed to meet the credit needs of those underserved by traditional financial institutions.

Dave’s offerings include its flagship Extra Cash product, providing members up to $500 within minutes. The company is on track to launch several new product offerings in 2026, including a Buy Now Pay Later (BNPL) option.

Dave is focused on serving Americans who are financially vulnerable or living paycheck to paycheck. Dave is leading the charge in creating a new era of credit products that prioritizes speed, affordability, and accessibility, making it the go‑to financial partner for those who need it most.

We’re looking for a Staff AI Acceleration Engineer to define the technical foundation for how AI agents are built, connected to data, and safely deployed across Dave. This is a highly influential individual contributor role focused on architecture, technical strategy, and platform design. You’ll establish the patterns, standards, and infrastructure that enable teams across the company to build trusted AI agents on governed data.

Your work will shape Dave’s AI Agent Factory—the platform that makes AI development repeatable, secure, and scalable.

You’ll partner closely with Data Engineering, which owns the trusted data platform, while you design the AI infrastructure that connects large language models to that data through robust governance, semantic consistency, and reusable developer tooling.

Director, Data Platform & AI Acceleration

• 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.
• Partner across Engineering, Data, Security, and Product to establish technical standards that enable AI adoption across the organization.

Your work will become the foundation every engineering team builds on as Dave scales AI across the business. By creating trusted infrastructure instead of one‑off solutions, you’ll help accelerate development while ensuring AI systems remain reliable, secure, and aligned with our data platform.

• 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 designing MCP servers, function‑calling frameworks, tool‑use architectures, or similar AI connectivity…