Entry-Level LLM Engineer

Jobright Ai — Canada · Posted ~3 hours ago

Junior

Skills

LLMs generative AI prompt engineering retrieval pipelines structured outputs AI evaluation software integration Generative AI

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Summary ✨ AI‑Generated

A technology company is seeking an entry-level LLM Engineer to build production generative AI features and agent workflows. Responsibilities include prompt development, retrieval pipelines, structured outputs, evaluation datasets, automated quality checks, and improving AI quality, safety, latency, and cost. Recent Computer Science graduates are encouraged to apply.

Highlights

High-ownership entry-level opportunity to build production AI agents and generative AI features, with direct product impact and exposure to LLMs, retrieval, evaluation, safety, latency, and cost optimization.

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. The role involves building generative AI experiences using LLMs to 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