AI Engineer (Python) (Toronto)

AI Engineer (Python) (Toronto)

13 Sep
|
Tiger Analytics
|
Toronto

13 Sep

Tiger Analytics

Toronto

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges.

We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. We are looking for a highly skilled AI Engineer with 7+ years of experience in software engineering, with a heavy focus on Python, AWS infrastructure, and Generative AI.

The ideal candidate will be responsible for building high-performance API services and implementing complex RAG and Agentic AI architectures.

Experience: Minimum of 7+ years of professional experience in software development and AI engineering.

Generative AI Integration: Hands-on experience integrating Generative AI/LLM APIs, AWS Bedrock, and other model providers.

Infrastructure & DevOps: Experience with DevOps, CI/CD pipelines, and ML pipelines within the AWS ecosystem.

Agentic AI: Exposure to building Gen AI/Agentic AI applications, managing efficiency, latency, and backend infrastructure.

Technical Standards:



Robust Python programming skills with a deep understanding of OpenAI API standards, JSON RESTful design, and LLM orchestration. Candidates will be expected to demonstrate deep technical proficiency in the following areas: Ability to design and implement end-to-end RAG pipelines, including retrievers, vector stores (e.g., Expertise in latency optimization and relevance tuning to ensure production-grade performance. Ability to manage orchestration, tool integration, and robust error handling for non-deterministic AI outputs. long-term) in multi-turn interactions and external API interfacing.

RAGAS, TruLens) to assess performance, grounding accuracy, and hallucination detection. Ability to iterate systems based on performance metrics and continuous improvement practices.

Tiger

Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law. #

📌 AI Engineer (Python) (Toronto)
🏢 Tiger Analytics
📍 Toronto

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