Location: Vancouver, British Columbia

About the company:

Our client is a rapid-growing, venture-backed B2B SaaS company building an AI-powered competitive intelligence platform that helps revenue teams win more competitive deals. The company is AI-first internally, and its product is trained in part on proprietary data unavailable anywhere else on the open web.

About the role:

We're hiring a Senior Software Engineer to build and optimize state-of-the‑art LLM-powered agents at scale, spanning multi-agent orchestration, sub-agent design, and the evaluation frameworks that keep outputs trusted and measurable. You'll own projects end-to-end — architecture, experimentation strategy, and production readiness — while optimizing inference cost, retrieval and query performance, and the feedback loops that help agents improve over time. You'll also help shape the roadmap itself, bringing a technical point of view and working closely with product leadership.

What you'll do:

- Build backend systems for agentic workflows — retrieval pipelines, orchestration layers, and multi-step agent architectures.
- Own evaluation of agentic systems at scale — build and operate frameworks measuring relevance, quality, latency, and task success.
- Design human-in-the-loop systems — feedback mechanisms, review workflows,



and correction loops that keep agents accurate over time.
- Optimize LLM workflows end to end — prompt design, retrieval strategy, caching, and latency.
- Collaborate across product, infrastructure, and data teams to shape technical direction and roadmap.

Must Have Skills:

- Production experience with backend systems — search/retrieval, data pipelines, distributed systems, or API-heavy services.
- Experience building and/or evaluating agentic or LLM-powered systems (RAG, multi-step agents).
- Strong Python and software engineering fundamentals (testing, CI/CD, observability).
- Experience with retrieval/search systems and vector databases (PGVector, Pinecone, or Elasticsearch).
- Experience with cloud infrastructure at scale (AWS, GCP, or Azure).
- Regular use of AI coding tools (Copilot, Cursor, Claude Code, or similar).
- Track record of shipping features tied to real user/business outcomes.
- Ability to own a project end-to-end and provide technical direction.

Nice to Have Skills:

- Multi-agent systems or complex orchestration design.
- ML fundamentals (precision/recall, cross-validation, bias-variance tradeoff, overfitting/regularization).
- Open-source contributions in AI/ML.

📌 Senior Software Engineer, Agents (Vancouver)
🏢 GuruLink
📍 Vancouver