Mid-Level AI Engineer

Jobright Ai — Canada · Posted ~18 hours ago

Mid

Skills

machine learning generative AI AI agents model evaluation AI monitoring data pipelines API development production systems APIs monitoring

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Summary ✨ AI‑Generated

A mid-level AI Engineer role focused on building, evaluating, deploying, and operating machine learning and generative AI capabilities. You will develop model-integrated APIs and services, build evaluation and data pipelines, improve quality, latency, reliability, and cost, and contribute to technical decisions and production operations.

Highlights

Mid-level AI engineering opportunity with high ownership and direct impact on production AI systems. The role spans generative AI, agents, evaluation, monitoring, data pipelines, model-integrated services, and production operations.

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