Software Engineer, AI Engineer (Applied​/Software), Cloud Engineer - Software

Staff Software Engineer
- Agentic AI
- Toronto $140,000 - $175,000 + 15% bonus (3 x days per week)

We’re working with a global technology organisation that is investing heavily in AI, agentic systems and intelligent products
. The team is building next-generation AI capabilities that support professionals working in highly complex, information-rich and regulated environments.

This is a hands-on Staff-level engineering role sitting at the intersection of AI engineering, platform engineering and applied AI. You’ll be working on systems where accuracy, reliability, evaluation and governance genuinely matter — rather than simply building another chatbot.

You’ll help design, build and scale production-grade AI systems, with opportunities to contribute across areas including:

• Agentic AI and multi-step workflows
• AI-powered ingestion and data pipelines
• Search, retrieval and RAG systems
• AI platform and infrastructure
• Distributed systems and storage
• Evaluation, monitoring and observability
• Cloud-native AI applications
• AI governance, reliability and lifecycle management

You’ll have the opportunity to work across different layers of the platform depending on your experience — from the underlying infrastructure and ingestion pipelines through to search and the agentic layer.

A key part of the role is bridging the gap between AI research and practical engineering
: understanding what modern AI can do, but knowing how to build, deploy, monitor and continuously improve those capabilities in production.

• Architect and develop scalable, production-grade AI systems and platforms.
• Build and integrate agentic AI solutions capable of executing complex, multi-step workflows.
• Develop AI-powered applications using LLMs, RAG and retrieval technologies.
• Build cloud-native infrastructure and distributed systems supporting AI workloads.
• Design ingestion, storage, search and data-processing pipelines at scale.
• Develop and implement AI evaluation frameworks, metrics and quality processes
  .
• Establish monitoring, observability and operational practices for AI systems.
• Work closely with product, engineering and subject-matter experts to translate complex requirements into technical solutions.
• Evaluate emerging AI technologies and determine where they can deliver genuine value.
• Make architectural decisions across scalability, reliability, cost, performance and accuracy.
• Provide technical leadership and mentorship to other engineers.

• Strong professional experience building and deploying AI-powered applications
  .
• Experience designing and building agentic AI systems or AI workflows
  .
• Experience taking AI solutions into production cloud environments
  .
• Hands-on experience with technologies such as Lang Graph, Lang Fuse, Kubernetes and Docker
  .
• Experience with AI evaluation, monitoring and observability
  .
• Solid understanding of distributed systems and software engineering fundamentals.
• Experience with RAG, semantic search, embeddings or information retrieval
  .
• Familiarity with modern AI/ML frameworks such as Py Torch is beneficial.
• Experience working with cloud platforms —
  AWS preferred, but cloud-agnostic experience is absolutely relevant
  .
• Strong understanding of data structures, algorithms and core computer science principles.
• The ability to make sound technical decisions and explain the trade-offs behind them.
• Experience operating at Senior, Lead or Staff level
  , with significant technical ownership.