AI Engineer

Job Description

Data Scientist, Early Career | Jobright.ai

The Tone:
This is a full-time, early career role at Jobright.ai, located remotely within the United States. Jobright.ai builds a personal AI job search agent designed to transform the job search process into a fast, expert-guided journey for users. This position is vital for developing and scaling the core business-facing AI agents, managing their entire lifecycle from initial prototype through to production deployment. As part of this team, you will have high ownership and impact, working at the intersection of AI, agents, and product development to directly shape how people experience AI-driven job search.

The TL;DR
• Role: Early Career
• Type: Full-time
• Location: Remote

• Mission: Develop and optimize the AI models and systems that power Jobright.ai’s core AI job search agent functionality.
• Tech Stack: Python, PyTorch, TensorFlow, Scikit-learn, SQL, AWS, GCP, Azure

What You’ll Actually Do
• Model Development: Develop and deploy predictive models and machine learning algorithms that power the core logic of our production AI agents.
• Agent Optimization: Experiment with and optimize Large Language Model (LLM) prompts, fine-tuning techniques, and RAG pipelines to improve agent performance and reliability.
• Data Analysis: Perform deep-dive statistical analysis on user interaction data to identify patterns that drive product improvements and feature innovation.
• Performance Monitoring: Monitor model performance and provide technical support during critical product iteration cycles.

The Must-Haves
• Background: Recent graduate or entry-level professional (0–2 years of experience) with a degree in Data Science, Computer Science, Statistics, or a related quantitative field.
• Experience: Practical understanding of LLM architectures, prompt engineering, and the evaluation of generative AI outputs. Must live in and be authorized to work in the United States.
• Skills: Strong programming skills in Python; proficiency with machine learning libraries such as PyTorch, TensorFlow, or Scikit-learn; and excellent communication skills, enabling you to articulate technical methodology and complex modeling results to the broader team.
• Bonus: Previous internship or research experience focused on Natural Language Processing (NLP), autonomous agents, or recommendation systems. Experience building and maintaining data pipelines and working with cloud infrastructure (AWS/GCP/Azure). Strong technical foundation in SQL and database management for efficient data extraction and feature engineering.