Job Opportunities API

AT KLUE https://klue.com/, 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 genuinely 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. You'll define what "good" looks like and build the infrastructure to measure it continuously. - 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. You understand when and how to bring humans into the loop, whether for validation, edge case handling, or continuous improvement, and obsess over making those experiences frictionless for our users. - 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. WHAT YOU BRING - 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. - 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 wit