AI Engineer, Entry Level

About Jobright.ai

Jobright.ai is your personal AI job search agent, revolutionizing the job search into a swift, expert-guided experience. We are actively seeking an AI Engineer, Entry Level to join our innovative team.

In this role, you will be instrumental in building and scaling business-facing AI agents, overseeing their entire lifecycle from initial prototype development to full-scale production deployment.

Why Join Us

• Build real, production AI agents used by real users daily.
• High ownership and significant impact on our product and users.
• Work at the cutting edge of AI, agent technology, and product development.
• Directly shape how individuals experience AI-driven job search solutions.

Responsibilities of an AI Engineer, Entry Level

• Build and continuously refine autonomous AI agents capable of interacting with complex environments to effectively solve real-world user problems.
• Develop and optimize sophisticated prompt engineering workflows and multi-agent orchestration frameworks to significantly enhance our product capabilities.
• Integrate Large Language Models (LLMs) into the Jobright.ai application, ensuring high-quality, low-latency, and reliable AI responses.
• Collaborate closely at the intersection of product and engineering teams to translate 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 AI agents.

Required Qualifications

• Recent graduate or entry-level professional (0–2 years of experience) holding a degree in Computer Science, AI, or a closely related technical field.
• Strong proficiency in Python and hands-on 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 reside in and be legally authorized to work in the United States.

Preferred Qualifications

• Previous internship or personal project experience in 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.

Key skills/competency

• AI Agent Development
• Large Language Models (LLMs)
• Python Programming
• Prompt Engineering
• Multi-agent Orchestration
• Retrieval-Augmented Generation (RAG)
• Software Engineering Fundamentals
• API Integration
• Asynchronous Programming
• Version Control (Git)