Senior Software Engineer, AI

Klue • Toronto, ON

9d • Hybrid

About The Position

Klue Engineering is hiring a Senior Software Engineer in Toronto to focus on building and optimizing state-of-the-art LLM-powered agents. This role involves leading the design and development of search and retrieval agent systems to generate competitive insights for users. The engineer will own projects end-to-end, guiding architecture decisions, experimentation strategy, and production readiness for LLM-powered retrieval and generation workflows, shaping the integration of RAG, dense retrieval, query understanding, and agentic reasoning loops for fast, accurate, and trusted search experiences at scale. Klue is an AI-first company on a mission to help organizations stop losing winnable deals by providing automated market, competitor, and buyer insights through its AI agents. The company fosters a startup-like environment where ideas matter, encouraging employees to push boundaries, take ownership of outcomes, and work with smart, gritty people.

Requirements

• Experience building and operating backend systems in production, with meaningful experience in at least one of: search/retrieval, data pipelines, distributed systems, or API-heavy service architectures.
• Hands-on experience with search, retrieval, or ranking systems. You've built or significantly improved retrieval pipelines and understand information retrieval fundamentals (hybrid retrieval, relevance tuning, query understanding).
• Experience building or evaluating agentic / LLM-powered systems. You've worked with retrieval-augmented generation, multi-step agent workflows, or similar architectures and have thought critically about how to evaluate their output quality at scale.
• Strong software engineering fundamentals. You write clean, maintainable, well-tested code. You're comfortable with Python and have experience with backend frameworks, APIs, and production infrastructure. You care about reliability, observability, and CI/CD.
• Familiarity with vector databases and search infrastructure. You've worked with tools like FAISS, PGVector, Pinecone, Weaviate, Elasticsearch, or OpenSearch and understand their operational tradeoffs.
• Experience with cloud infrastructure (AWS, GCP, or Azure) and building systems that handle scale, large data volumes, low-latency requirements, and high availability.
• You use AI coding tools to accelerate your own work. You've integrated tools like Copilot, Cursor, Claude Code, or similar into your development workflow and can speak to how they've changed the way you build software.
• Customer-oriented mindset. You've shipped features where you understood the end-user problem, not just the technical specification. You're motivated by customer impact, not just technical elegance.
• Ability to lead projects and provide technical direction. You can own a problem end to end, make sound architectural decisions, and help others on the team level up.

Nice To Haves

• Experience designing multi-agent systems or complex orchestration workflows.
• Background in conversational search or dialogue systems.
• Contributions to open-source projects in search, retrieval, or the LLM ecosystem.
• Interest in sharing learnings externally (blog posts, talks, open-source contributions).

Responsibilities

• Build and ship backend systems that power agentic workflows. You design retrieval pipelines, orchestration layers, and multi-step agent architectures that turn millions of competitive data points (news, press releases, webpage changes, Slack posts, emails, reviews, CRM data) into actionable intelligence for our customers.
• Own evaluation of agentic systems at scale. You develop and operate evaluation frameworks (automated, offline, and human-in-the-loop) that measure relevance, quality, latency, and end-to-end task success across our agent pipelines. You'll define what "good" looks like and build the infrastructure to measure it continuously.
• Design and optimize retrieval and ranking systems. You work across hybrid retrieval, re-ranking, query rewriting, and post-retrieval synthesis to ensure our agents surface the right information at the right time. You understand the tradeoffs between BM25, dense retrieval, and hybrid approaches and know when each matters.
• Improve LLM-powered workflows end to end. From prompt design and retrieval strategy to caching and latency optimization, you'll make our agent responses faster, more accurate, and more reliable in production.
• Ship with the customer in mind. You connect technical decisions to customer outcomes. You're energized by understanding how customers use the product, and you use that context to prioritize what to build next. You ship iteratively, measure impact, and course-correct quickly.
• Collaborate across product, infrastructure, and data teams — align technical direction with product goals, contribute to architecture decisions, and help the team move faster by establishing patterns and best practices for production-grade agentic systems.
• Stay on the frontier. Evaluate and integrate advances in LLMs, retrieval architectures, and agentic reasoning. You have strong opinions (loosely held) about where this space is heading and bring that perspective to your work.

Benefits

• High Performance Culture. We reward high performance and growth through career development, coaching, and annual performance reviews.
• Comprehensive benefits: Extended health & dental coverage that starts on Day 1. Fun perks like discounts at Goodlife and Perkopolis are gravy.
• Ownership: All full-time employees have the opportunity to participate in our Employee Stock Option Plan.
• Our Vacation Policy is Take The Time You Need. We just ask that you give notice and don’t leave your team hanging.
• Top-tier tools. All employees will receive a Mac (or PC, if that’s your jam) and access to A+ tooling.
• AI First. All employees are encouraged to lean into AI to work smarter and faster. Built something cool lately? Show us at our Friday Show, Don’t Tell Meetings.
• Growth / Leadership. Direct access to our leadership team, including our CEO, and opportunities to connect with incredible people across the company.
• Social connection. There’s no shortage of ways to stay connected and have fun. We get together once a year in Vancouver for a company- wide kickoff. Throughout the year our Hubs hold regular social events.
• Dog-friendly spaces. Bring your four-legged friend along in Vancouver or Toronto, as our offices are pup-approved.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 101-250 employees