Jobright is a rapidly growing AI job search platform in the U.S. that is dedicated to transforming the job search experience. They are seeking an entry-level AI Engineer to build and refine autonomous AI agents, develop sophisticated prompt engineering workflows, and integrate Large Language Models into their application.
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)
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
