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AI Engineer, New Grad

Jobright.ai
Department:Data Analysis
Type:REMOTE
Region:UK
Location:United Kingdom
Experience:Entry level
Estimated Salary:£50,000 - £80,000
Skills:
PYTHONMACHINE LEARNINGNLPINFORMATION RETRIEVALAPISGITDATA PROCESSINGLLMRAGEMBEDDINGSPYTORCHTENSORFLOWSCIKIT-LEARN
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Job Description

Posted on: August 2, 2026

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, New Grad, you will help develop, integrate, and evaluate 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

• Build AI-powered features for search, recommendations, and personalization

• Experiment with prompts, embeddings, retrieval, and LLM APIs

• Create evaluation datasets and measure model quality

• Integrate AI capabilities into reliable product systems

• Investigate model failures, latency, and performance issues

• Collaborate with software engineers, product managers, and data scientists

Qualification

Required

• Recent graduate or graduating soon 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, data processing, and debugging

• Strong analytical and problem-solving skills

• Ability to work remotely

Preferred

• Experience with LLM applications, RAG, embeddings, or model evaluation

• Familiarity with PyTorch, TensorFlow, or scikit-learn

• Experience building AI prototypes or data pipelines

• Knowledge of recommendation systems, search, or ranking

• Interest in AI agents and consumer AI products

Originally posted on LinkedIn

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