Agentic AI Engineer

Tiger Analytics is looking for an 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.

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.
• Writing production-quality code and libraries that can be packaged as containers, installed and deployed.
• Designing, building, and implementing IR/RAG systems with Vector DB and Knowledge Graph.

Required skills and qualifications:

• Exceptional command in Agentic AI architecture, development, testing, and research of both neural-based and symbolic agents, using current-generation deployments and next-generation patterns/research.
• 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, CrewAI, Semantic Kernel, AutoGen, and OpenAI Agents SDK.
• Hands-on experience with generative AI models, RAG (Retrieval-Augmented Generation) architecture, and Natural Language Processing (NLP).
• 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 tools.
• Experience conducting rigorous A/B testing and performance benchmarking of prompt/LLM variations, using both quantitative metrics and qualitative feedback.
• Expertise in Python to build large, scalable applications, conduct performance analysis and tuning.
• Familiarity with AWS (SageMaker, EC2, S3) and/or Google Cloud Platform (GCP); familiarity with AWS Bedrock API and/or other GenAI APIs.
• Experience with Docker containerization and deployment techniques.
• Experience with GitHub for version control; proficiency with VS Code and Jupyter Notebook.
• Experience working in an Agile framework.

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.