Research AI Engineer Intern: Build LLM-Powered AI Tools

IBM; Town of Yorktown (NY); On-site; USD 89,000 - 164,000; Full time

Benefits offered by this job

Paid holidays

Stock Purchase Plan

Paid sick time

Family leave

Job summary

IBM Research invites applications for a Research AI Engineer Intern focused on building real-world AI applications. You will collaborate with engineers and researchers to translate cutting-edge AI techniques into practical enterprise solutions and tooling, contributing to AI platforms that scale across products and users.

Ideal candidates are pursuing MS/PhD and are passionate about LLMs, generative AI, and applied ML, seeking hands-on experience building AI-driven workflows, demos, and

Qualifications

• Pursuing MS/PhD in CS, Engineering, or related field.
• Strong Python programming skills.
• Familiarity with machine learning fundamentals, NLP and generative AI.
• Strong problem-solving mindset and ability to work in a collaborative team environment.

Responsibilities

• Collaborate with AI researchers and engineers to design, prototype, and implement AI solutions.
• Work with LLMs, multimodal models, and agentic frameworks to solve real-world use cases.
• Design, build, and maintain AI agent frameworks and platforms for scalable orchestration and tool integration.
• Develop experiments, demos, and integrations showcasing AI value.
• Stay current with AI research and translate methods into practical applications.

Skills

Python

Machine Learning

NLP

Generative AI

Team collaboration

Education

Bachelor's Degree

Master's Degree

MS/PhD student

Tools

Open-source contributions

Job description

IBM Research invites applications for a Research AI Engineer Intern focused on building real-world AI applications. You will collaborate with engineers and researchers to translate cutting-edge AI techniques into practical enterprise solutions and tooling, contributing to AI platforms that scale across products and users.

Ideal candidates are pursuing MS/PhD and are passionate about LLMs, generative AI, and applied ML, seeking hands-on experience building AI-driven workflows, demos, and