Lead/Staff AI Acceleration Engineer

Dave

34d • Remote

About The Position

This is a foundational role on the AI Acceleration team. You’ll help shape the systems that power how AI agents are created, connected to data, and safely deployed across the company. Your focus is not just building individual solutions. You’ll create the underlying infrastructure and patterns that allow teams across Dave to build and trust AI-driven workflows. Early work centers on analytics automation — agents that generate insights, detect anomalies, and handle recurring reporting. You’ll partner closely with Data Engineering, building on a trusted data platform to create an AI Agent Factory that scales across the business.

Requirements

• 6+ years in data engineering, ML engineering, AI infrastructure, or platform engineering
• Hands-on experience building LLM-powered applications, agents, or tool-use systems in production
• Experience connecting LLMs to structured data in a safe, reliable way (APIs, data access layers, context delivery, governance)
• Strong software engineering fundamentals, including testing, monitoring, and production reliability
• Experience with modern data and ML tooling (e.g., Python, Snowflake, dbt, Airflow, Kafka, Kubernetes or equivalents)
• Experience operating production systems, including CI/CD, monitoring, and incident response

Nice To Haves

• Experience designing evaluation frameworks for AI systems
• Familiarity with semantic layer tools (e.g., dbt metrics layer, LookML)
• Experience in fintech or other regulated environments
• Experience building internal platforms or developer tooling used across teams
• Exposure to data lineage, audit systems, or compliance automation

Responsibilities

• Build the AI Agent Factory: shared patterns, templates, and infrastructure that make it easy to build and deploy reliable agents
• Build systems that connect LLMs to structured data safely, including access control, context delivery, and governance
• Build integrations with the semantic layer to ensure agents and dashboards use consistent business definitions
• Build evaluation and observability frameworks that help teams understand agent quality and behavior over time
• Build guardrails that reduce risk, including protections against hallucinations, cost overruns, and data misuse
• Build early analytics automation agents that teams rely on for insight generation and exploration

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed