Staff AI Acceleration Engineer (Fintech)

Location: Remote within the United States, except Hawaii

Salary: $208K–$289K annually, plus equity

Company

hirify.global is a virtual-first fintech company building technology-enabled financial products for Americans underserved by traditional financial institutions.

What you will do

• Define the architecture and technical strategy for hirify.global’s AI Agent Factory, including reusable frameworks, evaluation patterns, deployment standards, and observability.
• Design MCP server architecture and AI-ready data access layers for secure LLM interaction with governed enterprise data.
• Architect integrations between AI agents and the 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 for measuring agent quality, reliability, and operational performance before production release.
• Partner with Engineering, Data, Security, and Product to establish company-wide technical standards.

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 securely connecting LLMs to structured enterprise data through APIs, semantic layers, retrieval systems, or governance frameworks.
• Experience with MCP servers, function-calling frameworks, tool-use architectures, or similar AI connectivity patterns.
• Strong distributed-systems engineering experience, including Snowflake, dbt, Airflow, Kafka, Python, Kubernetes, and cloud-native technologies.

Nice to have

• Experience designing AI evaluation frameworks and automated quality measurement.
• Experience with semantic-layer technologies such as dbt Metrics or LookML.
• Experience building internal developer platforms adopted across engineering organizations.
• Experience in fintech, banking, healthcare, or another regulated industry.
• Experience with data lineage, governance, audit, or compliance automation systems.

Culture & Benefits

• Virtual-first work culture with flexible hours and a home-office stipend.
• Premium medical, dental, and vision insurance.
• Generous paid parental and caregiver leave.
• 401(k) savings plan with matching contributions.
• Flexible PTO, company holidays, Juneteenth, and Winter Break.
• All-company in-person events once or twice a year, plus virtual events.