AI Engineer

About Jobright

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

Qualification (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

Key skills/competency

• AI Agent Development
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Python Programming
• Software Engineering
• API Integration
• Generative AI
• Machine Learning
• Version Control (Git)