AI Engineer

Job Description

Data Scientist, Early Career | Jobright.ai

The Tone:
This is an early career role at Jobright.ai, located remotely within the United States. Jobright.ai is your personal AI job search agent that transforms the job search process into a fast, expert-guided journey. This role is crucial for building and scaling the business-facing AI agents that power the core product, directly impacting how users experience AI-driven job search.

The TL;DR
• Role: Early Career
• Location: Remote, United States
• Mission: This person builds and deploys predictive models and machine learning algorithms to power the core logic of Jobright.ai’s production AI agents.
• Tech Stack: Python, PyTorch, TensorFlow, Scikit-learn, LLM architectures, RAG pipelines, 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.
• AI 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 with a degree in Data Science, Computer Science, Statistics, or a related quantitative field.
• Experience: 0–2 years of experience; authorized to work and living in the United States.
• Skills: Strong programming skills in Python; proficiency with machine learning libraries such as PyTorch, TensorFlow, or Scikit-learn; practical understanding of LLM architectures, prompt engineering, and the evaluation of generative AI outputs; excellent communication skills to articulate technical methodology and complex modeling results.
• 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.