AI Engineer

Job Description

Data Scientist, Early Career | Jobright.ai

The Tone:
This is an early career role at Jobright.ai, located in 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. This role is crucial for developing the production AI agents that real users interact with daily, offering high ownership and significant impact on the product. You will work at the cutting edge of AI, agent technology, and product development, shaping how individuals experience AI-driven job search.

The TL;DR
• Role: Early Career
• Location: United States
• Mission: Own the development and optimization of predictive models and machine learning algorithms that power Jobright’s core production AI agents.
• 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 with a degree in Data Science, Computer Science, Statistics, or a related quantitative field.
• Experience: 0-2 years of professional experience, coupled with a practical understanding of LLM architectures, prompt engineering, and the evaluation of generative AI outputs.
• Skills: Strong programming skills in Python and proficiency with machine learning libraries such as PyTorch, TensorFlow, or Scikit-learn; excellent communication skills with the ability 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.