Senior Software Engineer, AI (Agents)

Job Description

Toast is recruiting on behalf of a Vancouver-based AI software company operating in the competitive intelligence space. The company is mid-sized and growing quickly, with hubs across Canada and the UK, and has made multiple strategic acquisitions in recent years to expand its platform capabilities. They are building AI-first products that help revenue teams win more deals by automatically surfacing market, competitor, and buyer insights at scale. This is a Senior Software Engineer role on the core engineering team, focused on building and optimizing the LLM-powered agents that sit at the heart of the product.
 

Responsibilities

 

• Build and maintain backend systems that power agentic workflows, including retrieval pipelines, orchestration layers, and multi-step agent architectures that process large volumes of competitive data into actionable customer intelligence.
• Improve LLM-powered workflows end to end, from prompt design and retrieval strategy through to caching and latency optimization, making agent responses faster, more accurate, and more reliable in production.
• Own evaluation of agentic systems at scale by developing and operating evaluation frameworks that measure relevance, quality, latency, and end-to-end task success across agent pipelines.
• Design and build human-in-the-loop systems in collaboration with product and design, including feedback mechanisms, review workflows, and correction loops that keep AI agents accurate and trusted over time.
• Connect technical decisions to customer outcomes, shipping iteratively, measuring impact, and course-correcting quickly based on real usage.
• Collaborate with product, infrastructure, and data teams to align technical direction with product goals and establish patterns for production-grade agentic systems.
• Stay current on advances in LLMs, retrieval architectures, and agentic reasoning, and bring that perspective into day-to-day technical decision-making.

 

Requirements

 

• Demonstrated experience building and operating backend systems in production, with meaningful depth in at least one of search and retrieval, data pipelines, distributed systems, or API-heavy service architectures.
• Experience building or evaluating agentic or LLM-powered systems, including retrieval-augmented generation, multi-step agent workflows, or similar architectures.
• Strong software engineering fundamentals with clean, maintainable, well-tested Python code and experience with backend frameworks, APIs, and production infrastructure.
• Familiarity with search and retrieval systems including tools like PGVector, Pinecone, or Elasticsearch and an understanding of hybrid retrieval and relevance tuning.
• Experience with cloud infrastructure on AWS, GCP, or Azure, with a track record of building systems that handle scale, large data volumes, and low-latency requirements.
• Hands-on use of AI coding tools like Copilot, Cursor, or Claude Code as part of your development workflow.
• Ability to lead projects end to end, make sound architectural decisions, and provide technical direction to others on the team.

 

Benefits

 

• Total compensation ranges from CA$145,000 to CA$183,000 annually, with equity participation through an employee stock option plan.
• Extended health and dental coverage begins on day one.
• Open vacation policy with no set limit on time off.
• You will be building AI agents that directly change how companies compete and win deals, with your work touching revenue outcomes at real organizations every day.
• The team is small enough that your decisions shape the product, and the company is growing fast enough that your impact compounds quickly.
• Direct access to leadership and a culture that encourages engineers to bring ideas to the table and influence product direction.