Agentic AI Engineer
About The Position
Tiger Analytics is looking for experienced Agentic AI Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for providing solutions for the deployment, execution, validation, monitoring, and improvement of MLE solutions, creating scalable Machine Learning systems, building reusable production data pipelines for implemented machine learning models, and writing production-quality code and libraries that can be packaged as containers, installed and deployed. You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.
Requirements
- Proficiency in Python is essential
- 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 (Retrieval-Augmented Generation) 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
- Skills in building models, testing/validation, and deployment
- Experience working in an Agile framework
Nice To Haves
- Knowledge of Snowflake and Oracle is a plus
- Familiarity with AWS Bedrock API and/or other GenAI APIs
- Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search
- Knowledge of the insurance industry is a big plus
- Working knowledge of Google Cloud Platform is a plus
Responsibilities
- Providing solutions for the deployment, execution, validation, monitoring, and improvement of MLE solutions
- Creating Scalable Machine Learning systems
- Building reusable production data pipelines for implemented machine learning models
- Writing production-quality code and libraries that can be packaged as containers, installed and deployed
- Collaborate with cross-functional teams and business partners
- Drive current and future strategy by leveraging analytical skills
- Ensure business value and communicate the results
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
