Mid-Level AI Engineer

Jobright Ai — Canada · Posted ~2 hours ago

Mid

Skills

machine learning generative AI AI system development data pipelines APIs production systems model evaluation monitoring software engineering model monitoring

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Summary ✨ AI‑Generated

Work as a mid-level AI Engineer building and operating production machine-learning and generative-AI capabilities. You will develop model-integrated services, evaluation and monitoring pipelines, APIs, and reliable production systems while improving model quality, latency, reliability, and cost. The role combines hands-on engineering with meaningful technical ownership.

Highlights

High-ownership role with substantial impact, focused on production AI systems and intelligent agents. Includes opportunities to shape technical direction, improve system quality and efficiency, and collaborate across product and engineering functions.

Description

Jobright is a personal AI job search agent that simplifies job searching and helps users find better job outcomes. The Mid-Level AI Engineer designs, builds, evaluates, deploys, and operates machine learning and generative AI capabilities, including model-integrated services, data pipelines, and production systems. Why Join Us • Build real, production AI agents used by real users • High ownership and impact • Work at the intersection of AI, agents, and product • Shape how people experience AI-driven job search Responsibilities • Design and implement machine learning and generative AI features • Build evaluation, monitoring, and data pipelines for AI systems • Develop APIs and services that integrate models into products • Improve model quality, latency, reliability, and cost • Partner with product and engineering teams on technical decisions • Review code, document systems, and support production operations • Evaluate new models, frameworks, and techniques against product needs Qualification Required • 3 or more years of professional software or machine learning engineering experience • Strong Python programming and software engineering fundamentals • Experience building or deploying machine learning systems • Familiarity with LLMs, retrieval, evaluation, or model-serving workflows • Experience with cloud platforms, APIs, data pipelines, and testing • Strong communication and independent problem-solving skills • Authorised to work in Canada Preferred • Experience with PyTorch, TensorFlow, vector databases, or orchestration frameworks • Experience monitoring production AI systems • Familiarity with experimentation, ranking, search, or recommendation systems