AI Engineer, Team Lead
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Job Description
Lead AI Engineer managing a high-output ML team at Gravyty, focusing on cutting-edge AI solutions. Responsible for coding, mentorship, and project delivery in AI initiatives.
Responsibilities:
- 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.
Requirements:
- 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.
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