This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior AI Engineer in Canada.
In this role, you will take ownership of building and scaling next-generation AI agent systems within a production SaaS environment. You will design and implement intelligent, autonomous workflows powered by large language models that help customers automate complex tasks and access information more efficiently. Working in a modern cloud-native stack (Node.js and AWS), you will define the technical vision for AI architecture while collaborating closely with product, engineering, DevOps, and QA teams. You will play a key role in shaping how AI is embedded into core platform capabilities, from system design to deployment. This is a high-impact position where your work directly influences product intelligence, scalability, and customer experience. You will also help establish engineering standards for AI reliability, safety, and observability as the organization expands its AI capabilities. The environment is fast-moving, collaborative, and highly ownership-driven, with strong emphasis on production excellence and innovation.
Accountabilities
In this role, you will lead the design, development, and scaling of production-grade AI agent systems, ensuring they are reliable, extensible, and aligned with product goals. You will be responsible for building backend services, APIs, and data pipelines that support LLM-powered inference, tool execution, and conversational state management.
- Design and implement autonomous agentic systems capable of multi-step reasoning, tool use, and workflow orchestration
- Architect scalable AI infrastructure supporting real-time inference, retrieval, and system reliability at production scale
- Build and maintain RAG pipelines, including embeddings, vector databases, and retrieval strategies
- Develop backend services and APIs using Node.js and AWS to support AI-driven product features
- Define AI engineering standards covering reliability, safety, observability, and prompt management
- Evaluate and integrate emerging LLM frameworks, tools, and AI platforms
- Collaborate cross-functionally to translate product requirements into scalable AI solutions
- Ensure high engineering quality through testing, code reviews, and production monitoring practices
Requirements
The ideal candidate has strong software engineering foundations combined with hands-on experience building AI-powered or agent-based systems in production. You are comfortable working in complex distributed systems environments and making architectural decisions that balance scalability, performance, and maintainability.
- Bachelor’s degree in Computer Science, Engineering, or a related field
- 6+ years of software engineering experience
- 2+ years of experience building production-grade AI, LLM, or agentic systems
- Strong expertise in system design, distributed systems, and API development
- Experience with AWS services (e.g., Lambda, Bedrock, OpenSearch)
- Solid understanding of RAG pipelines, embeddings, and vector databases
- Knowledge of LLM integration, prompt engineering, and tool/function calling
- Familiarity with ML concepts such as training, inference, and evaluation trade-offs
- Strong debugging, problem-solving, and production troubleshooting skills
- Excellent communication skills and ability to collaborate across technical and non-technical teams
- Proven ability to work independently with high ownership and drive initiatives end-to-end
Benefits
- Competitive salary aligned with market benchmarks
- Comprehensive medical, dental, and vision coverage
- Extended health benefits and long-term disability insurance
- RRSP program with employer matching contributions
- Health Spending Account for additional flexibility
- Flexible paid time off policy
- Work in a high-growth, innovation-driven environment focused on AI and SaaS solutions
- Opportunity to shape foundational AI architecture and product direction