AI Engineer, Entry Level

Jobright.ai; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

Jobright.ai seeks an entry-level AI Engineer to contribute to the development, evaluation, and deployment of AI-powered features used by real job seekers, focusing on search, recommendations, and personalization.

You will collaborate with remote engineering, product, and data teams in the United States, build prototypes and production pipelines, and help improve model quality, latency, and reliability across our AI-driven job search platform.

Qualifications

• Strong grounding in machine learning, NLP, or information retrieval concepts.
• Familiarity with APIs, Git, debugging, and basic software engineering practices.
• Ability to work remotely within the United States.
• Demonstrated analytical and problem-solving abilities.

Responsibilities

• Implement AI and ML features for search, recommendations, and personalization.
• Build data preparation, evaluation, and experimentation pipelines.
• Work with prompts, embeddings, retrieval, and LLM APIs.
• Integrate AI capabilities into reliable product and backend systems.
• Collaborate with engineering, product, and data teams in a remote environment.

Skills

ML fundamentals

NLP basics

Information retrieval

APIs & Git

Debugging

Education

Bachelor's or Master's in CS/AI/ML or related field

Job description

Jobright is your personal AI job search agent that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes. As an AI Engineer, Entry Level, you will contribute to the development, evaluation, and deployment of AI-powered features used by real job seekers.

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

• Implement AI and machine-learning features for search, recommendations, and personalization
• Build data preparation, evaluation, and experimentation workflowsWork with prompts, embeddings, retrieval, structured outputs, and LLM APIs
• Integrate AI capabilities into reliable product and backend systems
• Investigate model quality, latency, and failure cases
• Collaborate with engineering, product, and data teams in a remote environment

Qualification

Required

• Bachelor's or master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• Understanding of machine learning, NLP, or information retrieval fundamentals
• Familiarity with APIs, Git, debugging, and basic software engineering practices
• Ability to work remotely within the United States

Preferred

• Experience with LLM applications, RAG, embeddings, or model evaluation
• Familiarity with PyTorch, TensorFlow, scikit-learn, or cloud AI services
• Experience building AI prototypes or data pipelines
• Interest in AI agents, recommendation systems, or search technology