AI Engineer – AI Agents

Job Description

Data Scientist, Early Career | Jobright.ai

The Tone:
This is a full-time role at Jobright.ai, located in the United States. Jobright.ai serves as a personal AI job search agent, transforming the job search process into an expert-guided journey. This role is crucial for building and scaling production AI agents that deliver real value to users. You will have significant ownership and impact, directly shaping how people experience AI-driven job search.

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

• Mission: This person develops and deploys the predictive models and machine learning algorithms that power core AI agent logic for Jobright.ai.
• Tech Stack: Python, PyTorch, TensorFlow, Scikit-learn, SQL, AWS/GCP/Azure

What You’ll Actually Do
• Develop: Develop and deploy predictive models and machine learning algorithms that power the core logic of production AI agents.
• Optimize: Experiment with and optimize Large Language Model (LLM) prompts, fine-tuning techniques, and RAG pipelines to improve agent performance and reliability.
• Analyze: Perform deep-dive statistical analysis on user interaction data to identify patterns that drive product improvements and feature innovation.
• Support: 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: 0–2 years of 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, excellent communication skills for articulating 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.