AI Engineer, Early Career

About Jobright.ai

Jobright.ai is your personal AI job search agent, designed to transform the job search process into a fast, expert-guided journey. We are at the forefront of leveraging artificial intelligence to reshape how individuals find their next career opportunity.

The Role: AI Engineer, Early Career

We are seeking an innovative AI Engineer, Early Career to join our dynamic team. In this role, you will be instrumental in building and scaling business-facing AI agents, managing their entire lifecycle from initial prototype to production deployment. This is a unique opportunity to work at the intersection of AI, autonomous agents, and product development.

Why Join Jobright.ai?

• Build real, production AI agents that are utilized by a growing user base.
• Enjoy high ownership and make a significant impact on our product and users.
• Work at the cutting edge of AI, agents, and product innovation.
• Shape the future of how people experience AI-driven job search solutions.

Responsibilities

• Develop and deploy predictive models and machine learning algorithms that power the core logic of our production AI agents.
• Experiment with and optimize Large Language Model (LLM) prompts, fine-tuning techniques, and RAG pipelines to enhance 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 crucial technical support during critical product iteration cycles.

Qualifications

Required

• 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.
• Strong programming skills in Python and 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 with the ability to articulate technical methodology and complex modeling results to the broader team.
• Must live in and be authorized to work in the United States.

Preferred

• 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.

Key skills/competency

• AI Agents
• Large Language Models (LLMs)
• Prompt Engineering
• Machine Learning Algorithms
• Python Programming
• PyTorch/TensorFlow
• Statistical Analysis
• Data Pipelines
• Cloud Infrastructure (AWS/GCP/Azure)
• SQL