About the job
Jobright is your personal AI job search agent that transforms the job search process into a fast, expert-guided journey. They are seeking an AI Engineer to build and scale business-facing AI agents, managing the entire lifecycle from prototype to production.
Why Join Us
- Build real, production AI agents used by real users
- High ownership and impact
- Work at the intersection of AI, agents, and product
- Shape how people experience AI-driven job search
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 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
Qualification
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
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