AI Engineer – Agentic Systems

Job not on LinkedIn

🔥 6 minutes ago

🇨🇦 Canada – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 24%

What it means: the chance that no one is really hiring for this job.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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Ample Insight

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Ample Insight is a company that specializes in delivering innovative Artificial Intelligence (AI) solutions to businesses across various industries. They offer a wide range of services, including building AI minimum viable products (MVPs), enhancing AI performance, and integrating AI into existing products. Their proprietary platform, Atlas, acts as a data science co-pilot, facilitating data profiling, observability, and automated issue resolution to accelerate AI development. Ample Insight focuses on providing tailored solutions with expertise in AI, machine learning, data engineering, and product development to help organizations realize the full potential of AI.

📋 Description

• Solve real-world problems using structured and/or unstructured data • Productize scalable machine learning models • Architect complex agentic AI systems with orchestration, tool use, memory, and state management • Design, train, evaluate, and improve machine learning models • Build production-grade AI/ML systems • Work with AI evaluation, observability, reliability, and scalable infrastructure • Turn cutting-edge research into working prototypes • Work on client projects for startups and Fortune 500 companies

🎯 Requirements

• Degree in Computer Science or Engineering • Strong Python skills • Experience building production-grade AI/ML systems • Experience architecting complex agentic systems, including orchestration, tool use, memory, and state management • Strong theoretical and practical foundations in machine learning, deep learning, statistics, and optimization • Experience designing, training, evaluating, and improving ML models • Experience with AI evaluation, observability, reliability, and scalable infrastructure • Ability to quickly turn cutting-edge research into working prototypes • Strong problem-solving skills, product instincts, and a bias toward action • Familiarity with data privacy, permission-aware AI systems, and secure AI architectures (bonus)

🏖️ Benefits

• Competitive compensation • Work on projects based on your interests and skills • Accountability and not micro-management • Remote work option

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