Staff AI Acceleration Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $208k - $289k / year

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Dave

WebsiteLinkedInAll Job Openings

201 - 500 employees

💳 Fintech

🏦 Banking

👥 B2C

Fintech • Banking • B2C

Dave is a financial services company that aims to provide a fair and affordable banking experience for individuals who feel overlooked by traditional banks. The company was founded on the belief that banks have built products that are often predatory, exemplified by high overdraft fees. In an effort to combat this, Dave offers features like $500 advances, fee-free goal tracking, and support for individuals seeking side hustles to improve their financial situations. Their mission revolves around leveling the financial playing field and making financial solutions accessible to everyone.

📋 Description

• 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 maintain consistent business definitions across analytics, reporting, and AI experiences • Establish governance-by-design patterns for authentication, authorization, auditability, PII protection, and responsible AI deployment • Design evaluation frameworks measuring agent quality, reliability, and operational performance before production deployment • Partner across Engineering, Data, Security, and Product to establish technical standards enabling AI adoption across the organization • Shape the technical foundation for company-wide AI infrastructure and intelligent systems • Report to the Director, Data Platform & AI Acceleration

🎯 Requirements

• 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

🏖️ 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 • Equity