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AI/ML Engineering Internship

AI/ML Engineering Internship

Do you thrive at the intersection of AI innovation and human-centered coaching? Are you excited about using machine learning and NLP to build AI solutions that make a real impact? At BridgeCare, we’re looking for AI/ML Engineering Interns to develop and refine AI-powered student counseling and coaching conversations that help students navigate their daily challenges with real-time, empathetic support..


About the Role

BridgeCare is looking for AI/ML Engineering Interns to build and optimize AI-powered student counseling and coaching systems at scale. You’ll contribute to integrating Large Language Models (LLMs) with a Retrieval-Augmented Generation (RAG) pipeline to support human-assisted AI responses.


Full-time • Remote


Responsibilities

  • Develop & optimize AI-powered conversation flows for student coaching with a human-in-the-loop (HITL) review pipeline.

  • Implement a scalable RAG system using vector databases to ensure accurate AI-driven responses.

  • Deploy and integrate LLMs (Claude, GPT-4 Turbo) via Amazon Bedrock/OpenAI APIs for real-time interactions.

  • Optimize AI retrieval pipelines to handle thousands of concurrent student users without performance degradation.

  • Implement safety, logging, and analytics to monitor AI effectiveness and track response improvements.

  • Collaborate with engineers & product teams to refine AI workflows and user interactions.


Required Experience

  • Experience working with LLMs, NLP, or AI-driven applications.

  • Hands-on experience with Amazon Bedrock and other AWS AI/ML tools (Sagemaker).

  • Strong software engineering skills (Python, FastAPI, LangChain, etc.).

  • Familiarity with logging, monitoring, and debugging AI systems.

Not Required but Nice to Have

  • Experience in NLP-based chatbot development.


Why Join BridgeCare?

  • Mission-Driven: Build AI that actually helps students navigate real-life challenges.

  • We move fast, iterate quickly, and prioritize impact.


Apply Now

If you’re interested in an AI/ML Engineering Internship and thrive in fast-moving environments let’s talk.

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