Tiger Analytics is looking for an experienced Agentic AI Engineer to join their fast-growing advanced analytics consulting firm. The role involves providing solutions for the deployment, execution, validation, monitoring, and improvement of MLE solutions, as well as collaborating with cross-functional teams and business partners.
Requirements
- Programming Languages: Proficiency in Python is essential.
- Agentic AI : Expertise in LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK
- Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, and AutoML.
- Generative AI: Hands-on experience with generative AI models, RAG (Retrieval-Augmented Generation) architecture, and Natural Language Processing (NLP).
- Cloud Platforms: Familiarity with AWS (SageMaker, EC2, S3) and/or Google Cloud Platform (GCP).
- Data Engineering: Proficiency in data preprocessing and feature engineering.
- Version Control: Experience with GitHub for version control.
- Development Tools: Proficiency with development tools such as VS Code and Jupyter Notebook.
- Containerization: Experience with Docker containerization and deployment techniques.
- Data Warehousing: Knowledge of Snowflake and Oracle is a plus.
- APIs: Familiarity with AWS Bedrock API and/or other GenAI APIs.
- Data Science Practices: Skills in building models, testing/validation, and deployment.
- Collaboration: Experience working in an Agile framework.
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance
