Summary
✨ AI‑Generated
A mid-level AI engineering role focused on designing, building, evaluating, deploying, and operating machine learning and generative AI systems. You will develop model-integrated services, data and evaluation pipelines, production APIs, and monitoring while improving quality, latency, reliability, and cost.
Highlights
Build production AI agents and generative AI capabilities with high ownership and visible impact. The role spans model quality, evaluation, deployment, reliability, performance, and collaboration across product and engineering.
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
