Senior AI Engineer: LLMs, RAG & Scalable AI Systems

Boston University; Boston (MA); On-site; USD 150,000 - 211,000; Full time

Job summary

Boston University is assembling a world-class AI Engineering team to transform operations and deliver innovative AI applications. Join us as a Senior AI Engineer to tackle high-priority initiatives alongside renowned faculty and industry teams. You will help shape AI solutions at the forefront of academia and technology.

Design secure, scalable AI applications, integrate LLMs, RAG, and MCP, and collaborate across front-end, back-end, data, and infrastructure to deliver impactful results.

Qualifications

• Degree in Computer Science, Software Engineering, or related field.
• At least 5 years of relevant work experience in AI/ML full-stack development.
• Experience with prompt engineering, RAG, embeddings, and modern AI frameworks.

Responsibilities

• Design and develop secure, scalable AI applications and agents across front-end and back-end.
• Integrate AI technologies including LLMs, RAG pipelines, vector databases, and MCP.
• Design and optimize prompts and AI workflows for agent performance.
• Collaborate with teams to integrate AI with data, infrastructure, and operations.
• Test, troubleshoot, and ensure reliability and accuracy of AI solutions.

Skills

Full-stack AI dev

Prompt engineering

RAG embeddings

Secure development

Education

Degree in CS/SE

Job description

Boston University is assembling a world-class AI Engineering team to transform operations and deliver innovative AI applications. Join us as a Senior AI Engineer to tackle high-priority initiatives alongside renowned faculty and industry teams. You will help shape AI solutions at the forefront of academia and technology.

Design secure, scalable AI applications, integrate LLMs, RAG, and MCP, and collaborate across front-end, back-end, data, and infrastructure to deliver impactful results.