AI Engineer, Entry Level

Jobright is your personal AI job search agent that transforms the job search process into a fast, expert-guided journey. They are seeking an AI Engineer to build and scale business-facing AI agents, managing the entire lifecycle from prototype to production. 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 and refine autonomous AI agents that interact with complex environments to solve real-world user problems Develop and optimize sophisticated prompt engineering workflows and multi-agent orchestration frameworks to enhance product capabilities Integrate Large Language Models (LLMs) into the Jobright application, ensuring high-quality, low-latency, and reliable AI responses Work at the intersection of product and engineering to transform user requirements into functional AI-driven features Implement Retrieval-Augmented Generation (RAG) systems and fine-tune models to improve the accuracy and context-awareness of our agents Qualification Required Recent graduate or entry-level professional (0–2 years of experience) with a degree in Computer Science, AI, or a related technical field Strong proficiency in Python and experience working with LLM APIs (such as OpenAI, Anthropic, or open-source models via Hugging Face) Practical understanding of agentic workflows, prompt chaining, and the latest trends in generative AI Solid software engineering foundations, including a strong grasp of APIs, asynchronous programming, and version control (Git) Must live in and be authorized to work in the United States Preferred Previous internship or personal project experience building AI-powered applications, chatbots, or autonomous agents Familiarity with agent frameworks such as LangChain, AutoGPT, or CrewAI Experience with vector databases and semantic search implementation Basic understanding of front-end or full-stack integration to help bridge the gap between AI logic and user interfaces