Spend most of your time architecting and writing production-ready code for core AI engagement features across Gravyty’s platforms
Lead the AI team to oversee project delivery, ensuring high standards of quality, efficiency, and operational excellence
Provide expert-level code reviews and mentor junior engineers to foster a culture of technical excellence within the ML team
Lead the planning and coordination of AI projects across all product lines, ensuring alignment with institutional needs for recruitment, retention, and career readiness
Build and optimize Retrieval-augmented generation (RAG) systems and agentic workflows to deliver personalized user support
Oversee the deployment of MLOps systems to ensure the reliability and scalability of virtual assistants and predictive analytics tools
Ensure all AI features comply with enterprise-grade encryption and standards such as SOC2 Type 2, FERPA, GDPR, and HIPAA.

5+ years of professional experience in AI/ML engineering
2+ years of experience managing a high-output ML team
Bachelor’s degree or higher in Machine Learning, Artificial Intelligence, Software Engineering, or a related field
Specialized expertise in designing and deploying Agentic AI systems and autonomous workflows
Mastery of Python, SQL, and TypeScript (Node.js) is required
Extensive experience with PyTorch, TensorFlow, HuggingFace, Scikit-learn, and Pandas
Proven expertise in LLMs, RAG, similarity search algorithms, and VectorDBs
Hands-on experience with LangChain or LangGraph
Proficiency with OpenAPI, FastAPI, and building scalable microservices
Deep knowledge of Docker, Git, CI/CD, and MLFlow
Significant experience deploying AI solutions on AWS or GCP.

AI Engineer, Team Lead

Key skills