AI Engineer – AI Agents

Job Description

Data Scientist, Early Career | Jobright.ai

The Tone:
This is a full-time role at Jobright.ai, located remotely within the United States. Jobright.ai builds a 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 business-facing AI agents, offering high ownership and impact by delivering production AI agents used by real users. You will work at the intersection of AI, agents, and product, directly shaping how people experience an AI-driven job search.

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

• Mission: Develop and deploy predictive models and machine learning algorithms that power the core logic of production AI agents.
• Tech Stack: Python, PyTorch, TensorFlow, Scikit-learn, SQL, AWS, GCP, Azure

What You’ll Actually Do
• Develop and deploy predictive models and machine learning algorithms that power the core logic of production AI agents.
• Experiment with and optimize Large Language Model (LLM) prompts, fine-tuning techniques, and RAG pipelines to improve agent performance and reliability.
• Perform deep-dive statistical analysis on user interaction data to identify patterns that drive product improvements and feature innovation.
• 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, including a practical understanding of LLM architectures, prompt engineering, and the evaluation of generative AI outputs.
• Skills: Strong programming skills in Python, proficiency with machine learning libraries such as PyTorch, TensorFlow, or Scikit-learn, and 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.