Klue

Klue

Senior Software Engineer, AI

Toronto, Ontario · Senior · Full-time

Sponsorship not specifiedDetected 91 days ago
PythonDistributed SystemsGitPostgreSQLElasticsearchVector DatabasesAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDMachine LearningPyTorchData EngineeringNLPLLMsRAGAgentic AIMLOpsA/B TestingCRMResearch

About the role

  • 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.
  • You connect technical decisions to customer outcomes.

Responsibilities

  • Build and ship backend systems that power agentic workflows.
  • 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.
  • 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.
  • 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.
  • AT KLUE https://klue.com/, WE'RE BUILDING THE FUTURE OF COMPETITIVE INTELLIGENCE
  • You will be leading the design and development of search and retrieval agent systems that enable users to generate compete insights for their business.
  • In this role, you will own projects end-to-end, guiding architecture decisions, experimentation strategy, and production readiness for LLM-powered retrieval and generation workflows.
  • We ensure it's trustworthy, automated, and activated across every department, so they have the answers they need to own their market.

Requirements

  • Hands-on experience with search, retrieval, or ranking systems.
  • You're comfortable with Python and have experience with backend frameworks, APIs, and production infrastructure.
  • Familiarity with vector databases and search infrastructure.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and building systems that handle scale, large data volumes, low-latency requirements, and high availability.
  • We encourage candidates to apply to the engineering role and level that best align with their experience.
  • If you know you have what it takes, even if that's different from what we've described, be sure to explain why in your application.
  • 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.
  • 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 have

  • 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).
  • Take ownership and run with ambiguous problems
  • Bring scientific rigor while maintaining a pragmatic delivery focus
  • See unclear requirements as an opportunity to shape the solution
  • LLM platforms: OpenAI, Anthropic, open-source models

Skills

  • Weights & Biases, MLflow, Langfuse
  • PyTorch, Transformers, spaCy
  • Top-tier tools. All employees will receive a Mac (or PC, if that's your jam) and access to A+ tooling.
  • Dog-friendly spaces. Bring your four-legged friend along in Vancouver or Toronto, as our offices are pup-approved.

Compensation

  • We reward high performance and growth through career development, coaching, and annual performance reviews.

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.
  • We're a fast-growing, globally-distributed team based in Vancouver (with hubs like Toronto), scaling quicker than ever.

Company info

  • 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.
  • You're energized by understanding how customers use the product, and you use that context to prioritize what to build next.
  • We're looking for a Senior Software Engineer to join our team in Toronto, focusing on building and optimizing state-of-the-art LLM-powered agents that can reason, plan and automate workflows for users.
  • We're on a mission to help organizations stop losing winnable deals.
  • Customer Stories https://klue.com/customers?utm_source=chatgpt.com
  • About Us https://klue.com/blog
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This listing is sourced directly from Klue's careers page and normalized into a canonical job model.