Artificial Intelligence Engineer Intern

📋 Description

• Investigate and develop proof-of-concept AI agents to automate intricate internal engineering workflows, including incident analysis and code review summaries.

• Create and enhance Retrieval-Augmented Generation (RAG) pipelines to facilitate "chat with your data" functionalities for internal technical documentation and runbooks.

• Work alongside cross-functional teams to pinpoint operational inefficiencies and implement AI-driven solutions that enhance productivity and performance.

• Evaluate and document the application of emerging AI-assisted coding and monitoring tools to assess their applicability for the wider engineering organization.

• Engage in security-focused engineering, ensuring that automated workflows adhere to stringent data hygiene and secrets management protocols.

⛳️ Requirements

• Current Student: Enrolled in a Bachelor’s or Master’s program in Computer Science, Artificial Intelligence, or a related technical discipline.

• Python Proficiency: Strong practical knowledge of Python for automation and data processing tasks.

• AI Fundamentals: A demonstrated interest or hands-on experience in AI/ML, particularly related to Large Language Models (LLMs) and prompt engineering.

• Version Control: Familiarity with Git workflows is essential.

• RAG Experience: Practical experience in constructing small ML pipelines or experimenting with vector databases (e.g., FAISS) and RAG frameworks.

• Cloud Exposure: Basic experience with AWS or GCP services (e.g., Lambda, S3, or SageMaker).

• Automation Tools: Familiarity with CI/CD principles or infrastructure-as-code (e.g., GitHub Actions, Docker).

🏝️ Benefits

• Opportunity to work on innovative AI projects.

• Gain hands-on experience in a collaborative environment.

• Exposure to cutting-edge technologies and methodologies.

• Flexible working hours to accommodate academic commitments.