AI Engineer

🕒 September 1

🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Inviso

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2004

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Inviso is a Microsoft Cloud Solution Provider (CSP) that specializes in transformative technology solutions tailored for an AI-driven world. With over 20 years of experience as a proven Microsoft partner, Inviso offers a range of services including data analytics, business process automation, cybersecurity, and data governance. Their mission is to help organizations optimize their use of Microsoft technologies to enhance productivity and secure their operations. Inviso leverages advanced AI technologies and provides expert guidance to drive meaningful organizational transformation, ensuring that clients can thrive in a secure, modern work environment.

📋 Description

• Support an external software development organization as part of Inviso’s delivery team • Build and operate AI capabilities across an enterprise platform • Implement agent runtimes, model routing, RAG, tool/function calling, guardrails, evaluation, monitoring, cost management, latency optimization, and production quality controls • Move AI capabilities from prototypes to monitored production systems • Evaluate AI behavior rigorously • Partner with product and engineering teams to determine when AI is appropriate • Turn experiments into useful, reliable, measurable, safe, and cost-aware production features • Build evaluation discipline into the delivery process • Help client teams make informed decisions about where AI creates value

🎯 Requirements

• Experience shipping software backed by LLMs, ML models, RAG systems, or agentic workflows to real production users • Experience designing or implementing agent runtime, orchestration, model routing, tool/function calling, or AI workflow patterns • Strong understanding of RAG, grounding, retrieval quality, prompt design, context management, and evaluation approaches • Experience building evaluation harnesses, golden sets, regression checks, quality gates, or measurable AI performance frameworks • Ability to treat cost, latency, reliability, and safety as first-class engineering constraints • Experience building guardrails and controls for AI systems, including untrusted retrieved content, tool output risk, and failure modes • Experience monitoring production AI behavior and improving systems based on evidence • Strong software engineering skills and ability to collaborate with backend, platform, product, and security teams • Strong communication and collaboration skills for client-facing consulting environments • Pragmatic mindset focused on business value and responsible delivery • Experience with Claude, GPT, Azure OpenAI, open-source models, model routing, fine-tuning, distillation, or small/edge models • Experience with MCP, A2A, multi-agent orchestration, AI tool calling, or agent evaluation • Experience with LLM-as-judge approaches calibrated against human evaluation • Experience with semantic knowledge management, ontologies, knowledge graphs, or semantic layers • Experience with AI development lifecycle practices across data, build, evaluation, deployment, monitoring, and continuous improvement • Experience using AI-assisted development tools with strong review, testing, and safety discipline

🏖️ Benefits

• Annual $2,000 training allowance • Paid time off • Paid holidays • Other benefits