Hybrid Senior AI Engineer

at Noibu

• Job title: Senior AI Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: CA$125,000 - CA$175,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python
• Location requirements: Hybrid, Ottawa, Canada

About the role

• Senior AI Engineer building AI-powered capabilities into Noibu's ecommerce analytics platform. Focused on production AI systems, workflows, and team collaborations.

Responsibilities

• Design and build production AI systems — architect autonomous agents, multi-agent orchestration workflows, and retrieval-augmented generation (RAG) pipelines that ship to real users
• Build agentic workflows with LangGraph — implement stateful, multi-step agent workflows including tool use, error recovery, human-in-the-loop patterns, and conditional branching
• Integrate LLMs into the product — connect to models from OpenAI, Anthropic, Gemini and open-source providers using clean integration patterns (stable interfaces, structured outputs, and function/tool calling)
• Own production reliability — manage prompt versioning, trace logging (LangSmith), evaluation pipelines, regression testing, and observability for all AI systems
• Shape AI strategy — evaluate emerging models, frameworks, and techniques; make pragmatic build-vs-buy decisions; define and track AI performance metrics (latency, cost-per-query, retrieval accuracy, agent success rates)
• Collaborate cross-functionally — partner with Product, Design, and customer-facing teams to identify high-impact AI use cases that solve real customer pain points
• Mentor and lead — raise the AI literacy of the engineering org through code reviews, tech talks, documentation, and hands-on guidance

Requirements

• 5+ years of professional software engineering experience, with at least 2 years focused on AI/ML or LLM application development
• Hands-on production experience with LangGraph, or comparable agentic AI frameworks
• Strong Python proficiency with clean, testable code practices
• Experience building and deploying RAG systems, including vector databases, embedding models, retrieval strategies, and re-ranking
• Deep understanding of LLM APIs (OpenAI, Anthropic, Gemini, open-source), including function calling, structured outputs, streaming, prompt/context engineering, and token management
• Experience putting AI systems into production with proper monitoring, evaluation, and observability (e.g., LangSmith, custom eval pipelines)
• Strong software engineering fundamentals: version control, CI/CD, testing, code review, and system design
• Knowledge of prompt engineering best practices, including chain-of-thought, few-shot, and structured output techniques
• Experience with multi-agent systems and orchestration patterns (supervisor, hierarchical, or collaborative agent architectures)

Benefits

• Unlimited Time Off & Flexible Working Style
• Benefits from Day 1
• Company-wide holiday shutdown
• a yearly
• Monthly Company-Wide & Team-Specific Socials
• Frequent post-work Happy Hours
• Annual Holiday Party