ai is a fast-growing enterprise AI company with offices in Florida and the Greater Toronto Area. We specialize in agentic AI, enterprise products, and consulting, building intelligent systems for real-world business challenges. We deliver production AI for major enterprises across financial services, retail, hospitality, manufacturing, healthcare, government, and more. Our high-velocity startup values ownership, execution, accountability, collaboration, and moving ideas into production. ai ai is a fast-growing enterprise AI company with offices in Florida and the Greater Toronto Area. We specialize in agentic AI, enterprise products, and consulting, building intelligent systems for real-world business challenges. We deliver production AI for major enterprises across financial services, retail, hospitality, manufacturing, healthcare, government, and more. ContentIQ is our enterprise AI knowledge and retrieval platform, securely connecting websites, documents, SharePoint, OneDrive, internal systems, and other sources to AI agents. It combines enterprise search, Retrieval-Augmented Generation (RAG), AI document processing, governance, permissions, integrations, and observability for accurate, grounded AI at scale. As a knowledge layer for IBM watsonx Orchestrate and other AI agents, it connects enterprise information to intelligent workflows and conversations. We seek a hands‑on Engineering Manager to lead ContentIQ's development, quality, delivery, and operation. You'll mentor engineers while actively coding, making architectural decisions, and solving technical problems. Working with our VP of Engineering and leadership, you'll set technical direction, prioritize delivery, support enterprise deployments, and improve performance, reliability, security, accuracy, and capabilities.



You'll own platform quality and production readiness: enforce standards, test features, resolve reliability issues, and improve AI accuracy and consistency. You'll work directly with customers on implementation, deployment, troubleshooting, and production issues. You must write production code, review implementations, challenge architecture, solve difficult problems, and help a small, high‑performing team move quickly. own quality, testing, and production readiness. Translate business and customer requirements into technical plans; review technical designs, code, and pull requests; identify risks, remove blockers, and uphold standards. Hands‑On Software Development Build Python/React applications, backend services, APIs, and enterprise integrations. Develop RAG pipelines, document ingestion, retrieval, enterprise search, and AI agent integrations. Own complex features from design to deployment; solve technical problems rather than only delegate. Product Quality, Testing & Reliability Own ContentIQ's quality, stability, maintainability, and production readiness; enforce code review, release, and deployment standards. Validate functionality, performance, reliability, and security; strengthen automated, regression, integration, and end‑to‑end testing. Improve AI accuracy, retrieval relevance, grounding, citation quality, and consistency; strengthen logging, monitoring, observability, and alerting.



Enterprise Deployments & Customer Support Support deployments, configurations, integrations, technical discovery, solution design, and implementation. Work directly with customers; own critical issues through investigation, root‑cause analysis, resolution, and follow‑up. Coordinate with engineering, product, and customer teams; Evolve ContentIQ architecture, enterprise search, document intelligence, RAG, semantic retrieval, and data integrations. Support IBM watsonx, watsonx Orchestrate, and other enterprise AI integrations. balance innovation and speed with technical debt, security, scalability, and maintainability. Lead initiatives from concept through coding, testing, deployment, and production support. Bachelor's degree in Computer Science, Software Engineering, Engineering, or a related technical field. 5–10 years of professional software engineering experience, including significant hands‑on development. Experience leading engineers, technical projects, or engineering teams; Strong hands‑on Python and React skills; Practical AI/ML experience and understanding of modern LLM application architectures. Experience with APIs, microservices, distributed systems, cloud applications, and SQL/NoSQL databases. Experience designing scalable, production‑grade software systems. Strong testing, CI/CD, code review, debugging, monitoring, and production operations skills. Ability to improve quality, reliability, performance, and maintainability and resolve complex application, infrastructure, and integration issues. Transparent communication with engineers, executives, customers, and nontechnical stakeholders; Experience with RAG, enterprise search, knowledge management, document intelligence,

📌 Senior Software Engineering Manager (Canada)
🏢 symplistic.ai
📍 Canada