
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.