AI Engineer, Mid Level

Jobright Ai — Canada · Posted ~2 hours ago

Mid Full-time

Skills

machine learning generative AI Python API development data pipelines APIs

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

A mid-level AI engineering position focused on designing, deploying, and improving machine learning and generative AI capabilities. The role includes building reliable services, pipelines, and AI-powered user experiences.

Highlights

Opportunity to build production AI systems with significant ownership and work at the intersection of machine learning, intelligent agents, and product development.

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