Agentic AI & Workflow Automation Intern

IBM; Ionia (NY); On-site; USD 34,000 - 44,000; Full time

Job summary

IBM is seeking motivated software engineering interns to design, build, and test agentic AI capabilities and automated workflows at scale in New York. You’ll work closely with senior engineers on Python-based services and backend tasks to support AI automation.

You will prototype AI patterns, contribute to API development, and run AI workflows on Kubernetes and vector databases, while embracing Agile practices and hands-on learning.

Qualifications

• Strong Python skills and libraries (requests, pydantic, pandas, asyncio).
• Foundations in data structures, algorithms, debugging, testing.
• Familiarity with REST APIs, microservices, or event-driven systems.
• Curiosity for AI, LLMs, and workflow automation frameworks.
• Ability to collaborate in a team environment.

Responsibilities

• Develop Python-based services, agents, and tooling for AI workflows and automation.
• Design and prototype agentic AI patterns (reasoning agents, workflow planners, retrieval pipelines, evaluation harnesses).
• Contribute to backend tasks such as API development, orchestration logic, and system integration.
• Build, configure, and test AI workflows on Kubernetes and vector databases like Milvus.
• Collaborate with engineers to refine requirements, troubleshoot, and improve performance.
• Document designs, experiments, and findings in engineering artifacts.
• Participate in Agile ceremonies and contribute to a fast-paced engineering culture.

Skills

Python

Data structures

Algorithms

Debugging

Testing

REST APIs

Microservices

Event-driven

AI curiosity

Teamwork

Education

High School Diploma/GED

Bachelor’s Degree

Tools

Kubernetes

Docker

Milvus

Pinecone

Weaviate

OpenAI SDK

LangChain

Hugging Face

Job description

IBM is seeking motivated software engineering interns to design, build, and test agentic AI capabilities and automated workflows at scale in New York. You’ll work closely with senior engineers on Python-based services and backend tasks to support AI automation.

You will prototype AI patterns, contribute to API development, and run AI workflows on Kubernetes and vector databases, while embracing Agile practices and hands-on learning.