Note: The job is a remote job and is open to candidates in USA. Dave is a financial app and fintech company focused on creating affordable, transparent, and user-centric financial products. Dave is seeking a Staff AI Acceleration Engineer to define the architecture, governance, infrastructure, and developer tooling for securely building and deploying scalable AI agents across the organization.
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 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
Skills
- 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
- Experience designing AI evaluation frameworks and automated quality measurement
- Experience with semantic layer technologies such as dbt Metrics, LookML, or similar platforms
- Experience building internal developer platforms adopted across engineering organizations
- Experience within fintech, banking, healthcare, or other regulated industries
- Experience with data lineage, governance, audit, or compliance automation systems
Benefits
- 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
Company Overview
Company H1B Sponsorship