Applied AI Engineer (Canada)

Jobright is a next-generation AI job search platform built to make career navigation faster, smarter, and more personal. They are looking for an Applied AI Engineer to bridge the gap between state-of-the-art models and real product experiences, building the AI agents that help millions of people land better careers.

Why Join Us

* Build AI features that ship to real users, not prototypes that live in notebooks

* See your work measurably improve agent performance, with tight feedback loops between experiments and production

* Grow alongside engineers and researchers who care deeply about getting LLM systems to actually work in the wild

* Join a team where applied AI is treated as core craft, with real investment in evaluation, infrastructure, and iteration speed

Responsibilities

* Develop and deploy LLM-powered agents that handle resume parsing, job matching, interview prep, and other core experiences on the Jobright platform

* Experiment with retrieval strategies, prompt patterns, fine-tuning approaches, and tool-calling designs to push agent reliability and quality forward

* Partner with product and engineering teammates to take loosely defined problems and turn them into shipped AI features end to end

* Build evaluation harnesses, monitor live agent behavior, and use those signals to inform what to improve next

Qualifications

Required

* Recent grad or early-career engineer with 0 to 2 years of experience in software engineering, machine learning, or a closely related technical field

* Clear communicator who can walk both technical and non-technical teammates through model tradeoffs, evaluation results, and design choices

* Working understanding of modern AI/ML systems, including LLMs, APIs, embeddings, and how agentic architectures fit together

Preferred

* Internship or project experience in applied AI, ML engineering, or LLM product work at a tech or AI-focused organization

* Track record of shipping AI features in ambiguous, fast-moving settings where model capabilities and product needs shift week to week

* Hands-on skills in Python, familiarity with frameworks like LangChain or LlamaIndex, exposure to retrieval-augmented generation, prompt engineering, and SQL-based data tooling