Software Engineer, AI Systems

📋 Description

• Build, deploy, and operate production LLM pipelines that coordinate model calls, tools, graph
• Extend agent orchestration workflows that move enterprise incidents from evidence gathering through
• Design grounding and retrieval systems using graph traversal, vector search, and hybrid retrieval
• Develop robust evaluation frameworks, including representative datasets, scoring systems
• Implement production AI operations capabilities covering tracing, tool-call auditing, cost and
• Identify and address hallucinations, workflow loops, silent quality degradation, and other

🎯 Requirements

• Experience in AI or ML engineering with a track record of shipping production LLM systems used by
• Hands-on experience developing and debugging multi-step, tool-calling or agentic workflows using
• Strong understanding of LLM evaluation, including representative datasets, regression testing
• Practical experience designing retrieval and context-assembly strategies, with a clear
• Proven ownership of production systems through deployment, monitoring, incident response, and
• Ability to work across multiple model providers and make informed trade-offs involving quality

🎁 Benefits

• Remote work opportunity in Canada.
• High-ownership environment with direct collaboration with technical and product leadership.
• Opportunity to work on advanced LLM, agentic AI, retrieval, and knowledge-graph systems.
• Meaningful technical challenges in safety-critical enterprise applications where precision and
• Direct exposure to customer feedback and the opportunity to see engineering work reach production
• Opportunity to influence architecture, model selection, evaluation methodology, engineering