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AI Engineer, Generative AI — New Graduate

Jobright Ai — United States · Posted ~2 hours ago

Junior

Skills

LLM-powered feature development Prompt engineering Retrieval pipelines Structured outputs Generative AI integration Evaluation datasets Automated quality checks LLMs Generative AI AI agents

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Summary ✨ AI‑Generated

A new-graduate AI engineering role focused on building production generative-AI features and agent workflows. You will work with LLMs, prompts, retrieval, structured outputs, evaluation datasets, and automated quality checks while improving reliability, safety, latency, and cost.

Highlights

Opportunity to build production AI agents used by real users, with high ownership and impact at the intersection of AI, agents, and product. The role offers hands-on work improving quality, safety, latency, and cost.

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