Closed listing
Senior Software Engineer, AI (Agents)
- Vancouver, BC, Canada
$145,000 to $183,000 USD / year · Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- $145,000 to $183,000 USD / year
- Job type
- Full-time
- Closing date
- Posting language
- English
- Posted
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Archived listing. The details below describe a past opening.
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
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.
- 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.
- 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.
- Application Review
- Vetting Call
- Profile Creation
- Client Submission