Overview Tiger Analytics is looking for experiencedAgentic AI Engineerwith 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.Responsibilities 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 solutionsCreating Scalable Machine Learning systemsBuilding reusable production data pipelines for implemented machine learning modelsWriting production-quality code and libraries that can be packaged as containers, installed and deployedYou 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 Technical Skills Required:Programming Languages: Proficiency in Python is essential; C++ experience is ideal but not requiredAgentic AI: Expertise in LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDKMachine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, and AutoMLGenerative 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 engineeringVersion Control: Experience with GitHub for version controlDevelopment Tools: Proficiency with development tools such as VS Code and Jupyter NotebookContainerization: Experience with Docker containerization and deployment techniquesData Warehousing: Knowledge of Snowflake and Oracle is a plusAPIs: Familiarity with AWS Bedrock API and/or other GenAI APIsData Science Practices: Skills in building models, testing/validation, and deploymentCollaboration: Experience working in an Agile frameworkDesired SkillsRAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid searchInsurance/Financial Domain: Knowledge of the insurance industry is a big plusGoogle Cloud Platform: Working knowledge is a plusAdditional ExpertiseIndustry Experience: 8+ years of industry experience in AI/ML and data engineering, with a track record of working in large-scale programs and solving complex use cases using GCP AI Platform/Vertex AIAgentic AI Architecture: Exceptional command in Agentic AI architecture, development, testing, and research of both Neural-based & Symbolic agents, using current-generation deployments and next-generation patterns/researchAgentic Systems: Expertise in building agentic systems using techniques including Multi-agent systems, Reinforcement learning, flexible/dynamic workflows, caching/memory management, and concurrent orchestration. Proficiency in one or more Agentic AI frameworks such as LangGraph, Crew AI, Semantic Kernel, etcPython Proficiency: Expertise in Python language to build large, scalable applications, conduct performance analysis, and tuningPrompt Engineering: Strong skills in prompt engineering and its techniques including design, development, and refinement of prompts (zero-shot, few-shot, and chain-of-thought approaches) to maximize accuracy and leverage optimization toolsIR/RAG Systems: Experience in designing, building, and implementing IR/RAG systems with Vector DB and Knowledge GraphModel Evaluation: Strong skills in the evaluation of models and their tools. Experience in conducting rigorous A/B testing and performance benchmarking of prompt/LLM variations, using both quantitative metrics and qualitative feedbackBenefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.#J-18808-Ljbffr