AI Engineer

Jobright Ai — United States · Posted ~4 hours ago

Junior Onsite

Skills

machine learning LLM prompt engineering embeddings retrieval APIs

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Summary ✨ AI‑Generated

An entry-level AI engineering position focused on developing machine learning features, AI workflows, and intelligent product systems. The role involves working with language models, retrieval techniques, and evaluation processes.

Highlights

Entry-level AI engineering role with hands-on experience building and evaluating AI features, workflows, and intelligent product capabilities.

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 work onsite with engineers, researchers, and product leaders to build and evaluate AI capabilities 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 • Contribute to AI and machine-learning features for search, recommendations, and personalisation • Build data preparation, evaluation, and experimentation workflows • Work 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 closely with engineering, product, and data teams onsite Qualification Required • Bachelor's or master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field • Strong Python programming skills • Understanding of machine learning, NLP, or information retrieval fundamentals • Familiarity with APIs, Git, debugging, and basic software engineering practices • Ability to work onsite in the SF Bay Area 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