New Graduate AI Engineer - Generative AI

Jobright Ai — Canada · Posted ~3 hours ago

Junior

Skills

Generative AI LLMs Prompt engineering Retrieval pipelines Structured outputs AI product integration Evaluation datasets Automated quality testing

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Summary ✨ AI‑Generated

A growing technology team is seeking a New Graduate AI Engineer to build production generative-AI experiences. You will develop LLM-powered workflows, prompts, retrieval pipelines, structured outputs, evaluation datasets, and automated quality checks while improving model output quality, safety, latency, and cost through iterative experimentation and user feedback.

Highlights

New-graduate role offering high ownership and direct exposure to production AI agents, generative AI, retrieval, evaluation, safety, latency, cost optimization, and user-driven iteration.

Description

Jobright is your personal AI job search agent that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes. Jobright.ai is looking for a New Grad AI Engineer to build generative AI experiences that help users discover jobs and make better career decisions. 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 • Build LLM-powered product features and workflows • Develop prompts, retrieval pipelines, and structured outputs • Integrate generative AI capabilities with product systems • Create evaluation datasets and automated quality checks • Improve output quality, safety, latency, and cost • Investigate failures and iterate based on user feedback Qualification Required • Recent graduate in Computer Science, Artificial Intelligence, Machine Learning, or a related field • Strong Python programming skills • Understanding of machine learning and NLP fundamentals • Familiarity with APIs, Git, and software development practices • Strong experimentation and debugging skills Preferred • Experience with LLM APIs, RAG, embeddings, or AI agents • Familiarity with PyTorch or open-source language models • Experience building generative AI applications • Knowledge of evaluation, guardrails, or prompt engineering