Sr. AI Solutions Engineer

Fundraise Up is a global fundraising platform that simplifies the donation process for nonprofits. They are seeking a Sr. AI Solutions Engineer to build and deploy production-level AI solutions, working closely with the AI Product Lead to turn strategic blueprints into scalable technical realities.

Responsibilities:

• 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 & Integration: Oversee the technical integration and scaling of deployed AI agents within specific operational workflows (e.g., automating specific GTM tasks)
• Validation & Testing: Ensure seamless deployment with rigorous validation testing, monitoring agent performance, and iterating on technical builds to improve decision accuracy and reduce latency

Requirements:

• 5+ years in software engineering, AI engineering, or technical architecture within high-growth technology environments or AI startups
• Proven hands-on experience in the technical build and deployment of LLM-powered applications, RAG systems, and agentic workflows
• Deep understanding of the modern AI tech stack, prompt engineering, API integrations, and scalable deployment infrastructure
• Proven ability to execute complex technical work streams with limited oversight and high accountability
• Strong technical communicator; able to explain complex architectural decisions and technical trade-offs to non-technical strategic partners
• A practical, shipping-oriented approach — you are motivated by building reliable, production-ready systems that solve real business problems