Elevate your career with Tiger Analytics as a Generative AI Engineer, where your expertise in Python and AWS will be instrumental in building high-performance AI solutions. Join a team focused on driving outcomes through innovative AI applications.
As a key member of the Tiger Analytics team, you will leverage over 7 years of experience in software engineering and AI. The role involves building API services and complex Generative AI architectures, including Retrieval-Augmented Generation and Agentic AI. Engage with a diverse range of industries, from Retail to Healthcare, while enjoying a collaborative work workplace.
Key Responsibilities:
• Design and implement RAG pipelines for AI solutions
• Manage AWS DevOps and CI/CD for ML integration




• Develop autonomous agents using frameworks like LangChain
• Optimize system performance and latency for production
• Evaluate AI output quality with industry frameworks
Requirements:
• 7+ years of software development experience
• Proficient in Python and OpenAI API standards
• Hands-on with Generative AI/LLM integration
• Experience in AWS infrastructure and DevOps practices
• Familiar with evaluation frameworks for AI outputs
Contribute your skills in Generative AI and enhance operational excellence at Tiger Analytics.
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📌 Generative AI Engineer at Tiger Analytics (Toronto)
🏢 Tiger Analytics
📍 Toronto