Join Tiger Analytics as a Generative AI Engineer, leveraging 7+ years of software engineering experience, focusing on Python and AWS to build cutting-edge API services. In this high-impact role, you will develop sophisticated RAG and Agentic AI solutions. With over 4000 tech experts globally, Tiger Analytics is at the forefront of AI and analytics, collaborating across various industries like CPG, Retail, and Healthcare.

You'll make significant contributions to performance optimization and innovation. Key Responsibilities:

- Design and implement end-to-end RAG pipelines
- Develop autonomous agents and optimize AI interactions
- Integrate Generative AI and AWS Bedrock seamlessly
- Manage DevOps and CI/CD within AWS ecosystem
- Optimize architectures for performance and relevance

Requirements:

- Minimum 7+ years in software development and AI
- Proficient in Python with OpenAI API standards
- Experience with DevOps and machine learning pipelines
- Familiarity with RAG frameworks and evaluation metrics
- Knowledge of building Agentic AI applications preferred

Shape the future of AI at Tiger Analytics with your expertise in building effective solutions.

📌 Generative AI Engineer at Tiger Analytics (Toronto)
🏢 Tiger Analytics
📍 Toronto