Fundraise Up
Sr.AIEngineer
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“Sr. AI Engineer at Fundraise Up. Skills: AI solutions, Agentic architectures, RAG-based systems. Define agent architecture requirements. Build agentic AI solutions”
What You'll Achieve.
Build production-level AI solutions; Turn blueprints into realities; Meet roadmap technical prerequisites
Industry & Context.
Risk management; Decision-making
What They're Looking For.
Must Have
12-month roadmap technical prerequisites
Nice to Have
RAG-based systems experience, Agentic AI solutions experience
What You'll Do.
Define agent architecture requirements
Build agentic AI solutions
Test agentic AI solutions
Deploy agentic AI solutions
Meet autonomous agentic operations prerequisites
Explain architectural decisions
Explain technical trade-offs
How You'll Work.
Team & Collaboration
Sr. AI Business Manager; Strategy leads; Non-technical partners
Communication Scope
Explain decisions; Explain trade-offs
Process & Methodology
Roadmap planning
Full Job Description
Highlights: OTE (On-Target Earnings): USD$188k-200k Location: US Remote (EST, CST) Reports to: Director, Business Operations (Finance) About Fundraise Up We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design. Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver. About The Role The Sr. AI Engineer is a highly technical role dedicated to building and deploying production-level AI solutions at Fundraise Up. Partnering closely with the Sr. AI Business Manager, you will take strategic blueprints and turn them into scalable, robust technical realities. This role demands deep expertise in modern AI frameworks, from RAG-based systems to complex agentic architectures, ensuring that our technical deployments are secure, efficient, and deeply integrated into our operational workflows. What You'll Do Agent Architecture Design: Define precise technical requirements for scalable agent architecture, including necessary reasoning frameworks, risk management systems, and knowledge retrieval interfaces required for complex decision-making. End-to-End Build Capability: Serve as the hands-on technical lead capable of building, testing, and deploying both interim (e.g., RAG-based systems) and highly complex agentic AI solutions. Technical Implementation: Work alongside strategy leads to ensure that the technical prerequisites for achieving fully autonomous agentic operations are met on the twelve-month roadmap. Operational Scaling able
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