AI Engineer

Tiger Analytics

Agentic AI Engineer with Gen AI experience at Tiger Analytics. Responsible for deploying and improving MLE solutions while collaborating with cross-functional teams.

Posted 5/1/2026full-timeRemote • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

AWSCloudDockerEC2Google Cloud PlatformOraclePythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

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
Collaborating with cross-functional teams and business partners to drive current and future strategy by leveraging analytical skills

Requirements

What you’ll need

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.
RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search.
Insurance/Financial Domain: Knowledge of the insurance industry is a big plus.
Google Cloud Platform: Working knowledge is a plus.
Industry 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 AI.
Agentic 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/research.
Agentic 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, etc.
Python Proficiency: Expertise in Python language to build large, scalable applications, conduct performance analysis, and tuning.
Prompt 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 tools.
IR/RAG Systems: Experience in designing, building, and implementing IR/RAG systems with Vector DB and Knowledge Graph.
Model 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 feedback.

Benefits

Comp & perks

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.

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Hard Skills & Tools

PythonLangChainLangGraphCrewAISemantic KernelTensorFlowPyTorchScikit-learnAutoMLNatural Language Processing

Soft Skills

analytical skillscollaborationAgile framework