Senior AI Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design and develop production-level agentic systems; autonomous agents that utilize LLMs to reason, utilize tools, manage context, and orchestrate intricate multi-step workflows on behalf of users.

• Construct scalable backend services, APIs, and data pipelines that facilitate real-time AI inference, conversation state management, and tool execution with robust error handling and recovery mechanisms.

• Architect systems for scalability, creating AI infrastructure that accommodates increasing inference demands, evolving agent complexity, and production reliability standards.

• Develop and oversee RAG pipelines, including embeddings, vector search, and retrieval strategies, to enable knowledge-driven features and contextual AI responses.

• Leverage foundational ML knowledge to guide decisions regarding model selection, fine-tuning, embeddings, and evaluation, understanding when to employ off-the-shelf models versus more tailored solutions.

• Collaborate with product, engineering, DevOps, and QA teams to establish requirements and deliver AI-driven features, guiding the technical direction while engaging the appropriate team members at the right stages.

• Assess emerging agentic frameworks, LLM providers, and AI tools; recommend adoptions that enhance the team’s capabilities.

• Create and document AI engineering standards, addressing reliability, safety, observability, and prompt management, while fostering institutional knowledge as the AI function evolves.

• Uphold engineering excellence by writing clean, well-tested code; conducting comprehensive code reviews; and promoting best practices throughout the team.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.

• Over 6 years of professional software engineering experience.

• At least 2 years of hands-on experience designing and developing applications that incorporate agentic systems in production settings.

• Familiarity with cloud platforms, preferably AWS (Lambda, Bedrock, OpenSearch).

• Proven success in deploying and managing production systems with reliability and observability.

• Strong debugging, troubleshooting, and problem-solving abilities.

• Capability to work independently with a high level of ownership, driving projects forward with minimal direct oversight.

• Excellent communication skills with the ability to collaborate effectively with engineering, product, and non-technical stakeholders.

🏝️ Benefits

• Medical

• Extended Health and LTD plan

• Dental

• Vision

• RRSP (with employer match)

• Health Spending Account

• Flexible paid time off