Senior AI Engineer

Role Overview

• Design and implement production-grade agentic systems; autonomous agents that leverage LLMs to reason, use tools, manage context, and orchestrate complex multi-step workflows on behalf of users.
• Build scalable backend services, APIs, and data pipelines that support real-time AI inference, conversation state, and tool execution with robust error handling and recovery.
• Architect systems for scale, designing AI infrastructure that handles growing inference demands, evolving agent complexity, and production reliability requirements.
• Build and maintain RAG pipelines, including embeddings, vector search, and retrieval strategies, to power knowledge-driven features and contextual AI responses.
• Bring foundational ML understanding to inform decisions around model selection, fine-tuning, embeddings, and evaluation and knowing when to use off-the-shelf models versus more custom approaches.
• Collaborate with product, engineering, DevOps, and QA teams to define requirements and deliver AI-powered features, leading technical direction while pulling in the right people at the right stages.
• Evaluate emerging agentic frameworks, LLM providers, and AI tooling; recommend adoptions that move the team’s capabilities forward.
• Establish and document AI engineering standards, covering reliability, safety, observability, and prompt management and building institutional knowledge as the AI function grows.
• Maintain engineering excellence. Write clean, well-tested code; conduct thorough code reviews; champion best practices across the team

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• 6+ years of professional software engineering experience
• 2+ years of hands-on experience designing and building applications that integrate agentic systems in production environments
• Experience with cloud platforms, preferably AWS (Lambda, Bedrock, OpenSearch)
• Proven track record of shipping and operating production systems with reliability and observability
• Strong debugging, troubleshooting, and problem-solving skills
• Ability to work independently with a high degree of ownership, driving projects forward with limited direct oversight
• Strong communication skills with the ability to collaborate effectively across engineering, product, and non-technical stakeholders.

Tech Stack

• AWS
• Cloud

Benefits

• Medical
• Extended Health and LTD plan
• Dental
• Vision
• RRSP (with employer match)
• Health Spending Account
• Flexible paid time off