Autonomous Testing AI Intern

Descripción del puesto:

Summary
This internship is an exciting opportunity for students who want to grow their skills in AI engineering, autonomous software testing, RAG pipelines, and multi-agent systems. You will work directly on real AI initiatives that support next-generation testing automation, including AI-driven SDLC tools, test suite optimization using clustering and deduplication, code review agents integrated into Azure DevOps, AI-powered Ranorex automation generators, and multi-agent Copilot solutions for QA teams. Throughout the internship, you will gain hands-on experience in model prototyping, prompt engineering, data preparation, agentic workflow automation, MLOps practices, and technical documentation-providing a strong foundation for future roles in applied enterprise AI.

In This Role, Your Responsibilities Will Be:
* Building context-enabled AI models for code generation, test case creation, and backlog automation, including data ingestion, embedding pipelines, and retrieval layers for RAG workflows.
* Applying clustering and deduplication techniques to streamline large test suites while documenting performance metrics and optimization insights.
* Developing AI-powered code review capabilities that evaluate coding quality, security considerations, and regression risks, and integrating these features into Azure DevOps.
* Training and evaluating AI models that generate automated Ranorex scripts, and validating script accuracy using structured testing and documentation.
* Creating multi-agent Copilot solutions that deliver expert insights, integrate with enterprise systems, and enhance QA and DevOps productivity.
* Maintaining AI lifecycle practices including model versioning, drift monitoring, prompt evaluations, and safety and guardrail assessments.
* Producing documentation, dashboards, workflow diagrams, and evaluation summaries to communicate project progress and outcomes to stakeholders.

Who You Are
You embrace learning by exploring new ideas, experimenting with unfamiliar tools, and applying insights quickly to strengthen your work. You generate fresh solutions by staying curious, questioning assumptions, and seeking creative approaches to challenges. You take initiative, driving tasks forward with energy and focus, and you keep momentum by prioritizing meaningful progress. You adapt well when things change, adjusting your approach and staying motivated even when faced with ambiguity.

For This Role, You Will Need:
* Currently pursuing a degree in Computer Science, Information Technology, or a related field.
* Ability to complete at least 480 internship hours (open to required or voluntary internships).
* Ability to begin the internship on March 9, 2026.
* Familiarity with Python and foundational machine learning concepts.
* Exposure to LLMs, embeddings, prompt engineering, or RAG workflows through coursework, academic projects, or research.
* Familiarity with tools such as Git, Azure DevOps, Jupyter Notebooks, or machine learning frameworks.
* Ability to collaborate effectively with others and contribute to problem-solving efforts.

Preferred Qualifications That Set You Apart:
* Experience working with clustering algorithms or test suite optimization techniques.
* Exposure to multi-agent systems, agentic workflows, or AI-powered code review tools.
* Understanding of retrieval pipelines, vector stores, or embedding models.
* Ability to create dashboards, documentation, or workflow diagrams for reporting and communication.

Our Culture and Commitment To You
At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives-because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams working together are key to driving growth and delivering business results