Agentic AI Engineer

Tiger Analytics is looking for an Agentic AI Engineer with Gen AI experience to join their fast-growing advanced analytics consulting firm. The employee will be responsible for providing solutions for the deployment, execution, validation, monitoring, and improvement of MLE solutions, creating scalable machine learning systems, and collaborating with cross-functional teams.

Requirements

• Proficiency in Python
• Expertise in LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen, and Open AI Agentic SDK
• Experience with TensorFlow, PyTorch, Scikit-learn, and AutoML
• Hands-on experience with generative AI models, RAG architecture, and Natural Language Processing (NLP)
• Familiarity with AWS (SageMaker, EC2, S3) and/or Google Cloud Platform (GCP)
• Proficiency in data preprocessing and feature engineering
• Experience with GitHub for version control
• Proficiency with development tools such as VS Code and Jupyter Notebook
• Experience with Docker containerization and deployment techniques
• Knowledge of Snowflake and Oracle
• Familiarity with AWS Bedrock API and/or other GenAI APIs
• Skills in building models, testing/validation, and deployment
• Experience working in an Agile framework

Benefits

• Excellent opportunity for significant career development
• High degree of individual responsibility