AI Engineering Intern

Pindrop is an identity trust and security platform focused on real-time identity verification and deepfake detection across voice, video, and digital interactions. The AI Engineering Intern will apply generative AI to improve internal operations and engineering productivity by building AI agents, RAG pipelines, and automated workflows while collaborating with senior engineers and cross-functional teams.

What you'll do:

• 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

What they're looking for:

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

Benefits:

• Hands-on experience in a modern environment
• Work alongside technical experts in security, AI, and voice intelligence
• Remote work