Senior Software Engineer, AI

Responsibilities

• 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.
• 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.
• 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.

Requirements

• 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 exte

Additional Information

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 Toronto, focusing on building and optimizing state-of-the-art LLM-powered agents that can reason, plan and automate workflows for users. 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. You will shape how we integrate r etrieval-augmented generation (RAG), dense retrieval, query understanding, and agentic reasoning loops to deliver fast, accurate, and trusted search experiences at scale.

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Company Intel

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