Large Language Models Jobs – Page 2

How to use Large Language Models in applications

If a job requires Large Language Models, the skill should be supported by a project, course or portfolio example. The application check reviews whether the skill is actually evidenced in your CV.

Document a small project or notebook
Name relevant tools and methods
Connect the evidence to the target role

Results

Companies

95.2

Average score

Remote

3 results on this page. 13 results in total. More results are available via pagination, company pages, skill pages and job detail pages.

Research Scientist: Multilingual, Multicultural and Multimodal LLM

Google DeepMind · Tokyo, Japan

95/100

Tokyo, JapanUK/USAgreenhouse2026-06-24

Why this is a real AI job: The role explicitly focuses on research and development of multilingual, multicultural, and multimodal LLMs (Gemini). The core responsibilities are directly related to AI/ML model development and evaluation. The job description emphasizes a strong research ba…

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citiz…

Details Open source / apply

Applied AI Engineer – Agentic Workflows (Korea)

Cohere · Korea

95/100

KoreaCanadaFullTimeashby2026-06-22

LLM Large Language Models Agentic Workflows RAG Prompt Engineering AI Agents Machine Learning Python Data Science AI Governance

Why this is a real AI job: The role explicitly focuses on designing, building, and deploying LLM-powered agents for enterprise customers. The job description heavily emphasizes AI/ML concepts and technologies as the core responsibilities.

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe th…

Details Open source / apply

Research Engineer, Model Evaluations

Anthropic · San Francisco, CA

95/100

San Francisco, CAUSAgreenhouse2026-06-15

Machine Learning Large Language Models Data Visualization Data Pipelines Model Evaluation MLOps Python Data Science

Why this is a real AI job: The role is explicitly focused on evaluating and improving large language models (Claude), building evaluation infrastructure, and monitoring model health. The core responsibilities directly involve AI/ML concepts and techniques.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…

Details Open source / apply