Artificial intelligence (AI) Engineer Intern

Pindrop is the Real Human + Right Human® Identity Trust Platform for the AI era. As an AI Engineering Intern, you will work closely with senior engineers to apply generative AI to enhance internal operations and engineering productivity by automating workflows and improving efficiency.

Responsibilities:

• Explore and build proof-of-concept AI agents to automate complex internal engineering workflows, such as incident analysis or code review summaries
• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to enable "chat with your data" capabilities for internal technical documentation and runbooks
• Collaborate with cross-functional teams to identify operational bottlenecks and implement AI-driven fixes that improve efficiency and performance
• Test and document the use of emerging AI-assisted coding and monitoring tools to determine their viability for the broader engineering organization
• Participate in security-minded engineering, ensuring that automated workflows follow strict data hygiene and secrets management protocols

Requirements:

• Current Student: Pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related technical field
• Python Proficiency: Strong working knowledge of Python for automation and data processing
• AI Fundamentals: Demonstrated interest or project experience in AI/ML, specifically involving Large Language Models (LLMs) and prompt engineering
• Version Control: Familiarity with Git workflows
• RAG Experience: Hands-on experience building small ML pipelines or experimenting with vector databases (e.g., FAISS) and RAG frameworks
• Cloud Exposure: Foundational experience with AWS or GCP services (e.g., Lambda, S3, or SageMaker)
• Automation Tools: Exposure to CI/CD concepts or infrastructure-as-code (e.g., GitHub Actions, Docker)