AI Engineer – AI Agents

Job Description

Data Scientist, Early Career | Jobright.ai

The Tone:
This is a full-time role at Jobright.ai, operating within the United States. Jobright.ai develops a personal AI job search agent to transform the job search process into a fast, expert-guided journey. This role offers high ownership and direct impact by building production AI agents that real users rely on, shaping the experience of AI-driven job search.

The TL;DR
• Role: Early Career
• Location: 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, LLM architectures, prompt engineering, RAG pipelines, 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 our 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. Candidates must live in and be authorized to work in the United States.
• Experience: 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; excellent communication skills with the ability 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.