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Staff AI Acceleration Engineer at Dave. Location Information: United States. Dave is the finance version of David and Goliath taking on the big banks and helping millions with money challenges.. 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.. 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 patterns.. Strong software engineering fundamentals with expertise building scalable, reliable distributed systems.. Experience with modern data platforms and infrastructure including Snowflake, dbt, Airflow, Kafka, Python, Kubernetes, and cloud-native technologies.. Experience establishing engineering standards for testing, monitoring, CI/CD, observability, and operational excellence.. Demonstrated ability to influence technical direction across multiple teams without direct authority.. Pay range:. $208K - $289K. Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of people reach their personal financial goals. 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. Financial advisor and financial wellness support. Flexible PTO and generous company holidays, including Juneteenth and Winter Break. All-company in-person events once or twice a year and virtual events throughout to connect with your team members and leadership team