Senior Software Engineer, Agents

At Klue, we're building the future of competitive intelligence.

Klue Engineering is hiring!

We're looking for a Senior Software Engineer to join our team in Vancouver, someone excited to build and optimize state-of-the-art LLM-powered agents at scale. You'll bring a builder's mindset, scientific rigor, and relentless customer focus. You'll have an outsized impact on the product while staying close to the frontier of AI.

You will shape how we build and operate AI agents at scale, from multi-agent orchestration and sub-agent design to the eval frameworks that keep outputs trusted and measurable. This means optimizing across the full stack: inference costs at scale, retrieval and query performance, and the feedback loops that make agents improve over time.

You won't just execute on the roadmap, you'll help shape it, bringing a technical point of view on where the product should go and working closely with product leadership to get there. In this role, you will own projects end-to-end, guiding architecture decisions, experimentation strategy, and production readiness for our LLM-powered agents.

What You'll Do

• 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.
• 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.
• 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.
• Design and build human-in-the-loop systems. Working closely with product and design, you propose and prototype feedback mechanisms, review workflows, and correction loops that keep AI agents accurate and trusted over time.
• Ship with the customer in mind.
• Collaborate across product, infrastructure, and data teams.
• Stay on the frontier. Evaluate and integrate advances in LLMs, retrieval architectures, and agentic reasoning.

What You Bring

• Experience building and operating backend systems in production.
• Experience building or evaluating agentic / LLM-powered systems. You've worked with retrieval-augmented generation, multi-step agent workflows, or similar architectures.
• Strong software engineering fundamentals. Python proficiency required.
• Familiarity with search and retrieval systems. You've worked with tools like PGVector, Pinecone or Elasticsearch.
• Experience with cloud infrastructure (AWS, GCP, or Azure).
• You use AI coding tools to accelerate your own work (Copilot, Cursor, Claude Code, etc.).
• Customer-oriented mindset.
• Ability to lead projects and provide technical direction.

Nice to Have

• Experience designing multi-agent systems or complex orchestration workflows.
• Contributions to AI/ML open-source projects.
• ML fundamentals such as precision, recall, cross-validation, bias-variance tradeoff, overfitting and regularization.

Our Tech Stack

• LLM platforms: OpenAI, Anthropic, Gemini
• Agent frameworks: PydanticAI
• LLMOps tools: Logfire
• Search/Vector DBs: Elasticsearch, Pinecone, PostgreSQL
• Infrastructure: Docker, Kubernetes, GCP, Temporal
• Development: Python, Git, CI/CD

How We Work at Klue
Office-First with a hybrid touch, working together in our vibrant offices on Mondays, Wednesdays & Thursdays. Main hiring hubs: Vancouver (HQ), Toronto, London.

Compensation: CA$140K – CA$196K + Offers Equity.