AI Engineer

Job Description

About the Job: AI Engineer at Jobright

About Jobright

Jobright is an innovative personal AI job search agent designed to transform the job search process into a fast, expert-guided journey. We are actively seeking an AI Engineer to play a crucial role in building and scaling our business-facing AI agents, managing their entire lifecycle from initial prototype development through to full production deployment.

Why Join Us

• Build real, production AI agents used by real users: Make a tangible impact by developing cutting-edge AI solutions that directly serve and empower users in their job search.
• High ownership and impact: Take significant responsibility for your projects, contributing directly to product strategy and seeing the immediate results of your work.
• Work at the intersection of AI, agents, and product: Engage in a dynamic and rapidly evolving field where advanced AI concepts meet practical product development, focusing on intelligent autonomous agents.
• Shape how people experience AI-driven job search: Play a pivotal role in defining the future of job searching through innovative and user-centric AI applications.

Responsibilities

• Develop and deploy predictive models and machine learning algorithms that power the core logic and intelligence of Jobright’s production AI agents.
• Experiment with and continuously optimize Large Language Model (LLM) prompts, fine-tuning techniques, and Retrieval Augmented Generation (RAG) pipelines to significantly improve agent performance, accuracy, and reliability.
• Perform deep-dive statistical analysis on user interaction data to identify critical patterns, extract actionable insights, and drive data-informed product improvements and feature innovation.
• Monitor model performance post-deployment, ensuring stability and effectiveness, and provide essential technical support during critical product iteration cycles to maintain seamless operation.

Qualifications

Required Qualifications

• Recent graduate or entry-level professional with 0–2 years of relevant experience in a technical role.
• Possession of a degree in Data Science, Computer Science, Statistics, or a closely related quantitative field.
• Strong programming skills in Python, coupled with proven proficiency in key machine learning libraries such as PyTorch, TensorFlow, or Scikit-learn.
• Practical understanding of Large Language Model (LLM) architectures, prompt engineering methodologies, and the systematic evaluation of generative AI outputs.
• Excellent communication skills, demonstrated by the ability to clearly articulate complex technical methodologies and modeling results to a diverse, cross-functional team.
• Must currently reside in and be legally authorized to work in the United States.

Preferred Qualifications

• Previous internship or research experience specifically focused on Natural Language Processing (NLP), autonomous agents, or recommendation systems.
• Experience in building and maintaining robust data pipelines and working with major cloud infrastructure providers (e.g., AWS, GCP, Azure).
• A strong technical foundation in SQL and practical experience in database management for efficient data extraction and feature engineering processes.