BOSTON, MA
33 days ago
SENIOR AI FULL-STACK DEVELOPER, IS&T Applications

At Boston University, we are assembling a world-class AI Engineering team to transform operations, drive innovation, and deliver innovative AI applications and agents. This is your chance to work on cutting-edge technologies Agentic AI frameworks, LLMs, RAG, MCP, scalable AI architectures and develop solutions at the forefront of modern artificial intelligence. You will join as the Senior AI Full-Stack Developer where you will design, develop, and test AI applications and agents. You will contribute across the entire software development lifecycle, from front-end interfaces to back-end integrations with modern AI technologies. As a member of the AI Engineering team, you will handle some of the university's highest priority initiatives while collaborating with our renowned faculty, students, and industry-leading technical teams. You'll bring your expertise to a vibrant environment that values ingenuity and impact, where your ideas can make a difference on a global scale. Together, we'll deliver AI solutions that not only revolutionize university operations but also become models of innovation for institutions worldwide. This position is primarily remote with periodic in-person meetings on campus. Join us to make history, develop transformative technology, and work alongside some of the greatest minds in academia and technology. Be part of the team that will define what's possible in AI for academia and beyond.

You Will:

Design, Develop, Test AI Applications/Agents - Create secure, scalable, and user-friendly front-end and back-end features. Integrate modern AI frameworks. Prompt Engineering & AI Optimization - Design and optimize prompts for AI-driven tasks using modern frameworks to ensure effective agent performance and precise task execution. Collaborative Development - Work with other technical teams (e.g., Data Engineering, Automation Engineering, IT Infrastructure) to ensure seamless integration of tools, infrastructure, and operational workflows. Testing & Quality Assurance - Conduct rigorous testing of AI applications/agents, ensuring accuracy, reliability, and adherence to functional requirements.
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