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AI/ML Engineer

AI/ML Engineer

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 an AI/ML Engineer to develop and refine AI-powered student counseling and coaching conversations that help students navigate their daily challenges with real-time, empathetic support..


Full-time • Remote


About the Role

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

This is a contract-to-hire role where you’ll own the development of scalable AI systems—from LLM integration to real-time AI moderation. If successful, you’ll have the opportunity to transition into a full-time AI leadership role with equity in a fast-growing startup.


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

  • 3+ years of experience working with LLMs, NLP, or AI-driven applications.

  • Prior experience building large-scale software products (preferably involving AI/ML at scale).

  • Hands-on experience with RAG architectures & vector databases.

  • Proficiency in deploying & scaling AI models in production environments (AWS/GCP/Azure).

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

  • Experience with human-in-the-loop (HITL) AI validation systems.

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

Not Required but Nice to Have

  • Prior work in edtech, student support systems, or mental health AI applications.


Why Join BridgeCare?

  • Own the AI pipeline & RAG system implementation

  • Opportunity to lead AI/ML initiatives in a fast-growing startup

  • Stock options + benefits (401k, healthcare, PTO, etc.)

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

  • Real Ownership: You won’t just “work on AI”—you’ll be responsible for how it scales.

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


Apply Now

If you’re an AI/ML engineer who thrives in fast-moving environments and wants to build real AI solutions at scale, let’s talk.

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