AI Job Radar

Large Language Models Jobs – Page 2

Aktuelle KI-Jobs mit Large Language Models, passende Lernpfade und Bewerbungsbezug.

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.

27
Results
17
Companies
94.6
Average score
10
Remote

10 results on this page. 27 results in total. More results are available via pagination, company pages, skill pages and job detail pages.

Research Engineer, Model Evaluations

Anthropic · San Francisco, CA

95/100
San Francisco, CAUSAgreenhouse2026-08-25

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

Remote - IndiaUSAgreenhouse2026-08-10

Why this is a real AI job: The role explicitly focuses on building, deploying, and maintaining machine learning systems in production. The responsibilities are heavily centered around ML engineering tasks like model training, validation, data pipeline construction, and collaboration wi…

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work ,…

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Senior Machine Learning Engineer, Safety

Reddit · Remote - United States

95/100
Remote - United StatesUSAgreenhouse2026-08-07

Why this is a real AI job: The role explicitly focuses on building and deploying ML models, specifically LLMs, for safety systems. The responsibilities are heavily centered around AI/ML tasks.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximatel…

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Senior Machine Learning Engineer (Agentic AI)

Zscaler · Office - Bangalore, India

95/100
Office - Bangalore, IndiaUSAgreenhouse2026-08-05

Why this is a real AI job: The role explicitly focuses on developing and deploying machine learning models and Generative AI solutions, specifically Agentic AI architectures. The job description emphasizes LLMOps, productionization of AI agents, and optimization of ML models.

About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange…

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Senior AI Engineer, Enterprise

Snowflake · US-CA-Menlo Park

95/100
US-CA-Menlo ParkGermanyFullTimeashby2026-07-28

Why this is a real AI job: The role is explicitly focused on building and operating an internal AI platform and agentic applications. The job description heavily emphasizes AI/ML technologies (LLMs, prompt engineering, evaluation pipelines) as core responsibilities.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collabor…

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Senior AI Engineer, Enterprise

Snowflake AI · US-CA-Menlo Park

95/100
US-CA-Menlo ParkUSAFullTimeashby2026-07-28

Why this is a real AI job: The role is explicitly focused on building and deploying production-grade AI systems (agentic applications) for a large organization. The job description heavily emphasizes AI/ML technologies, LLMs, and the development of an internal AI platform.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collabor…

Details Open source / apply

Washington, DCUSAgreenhouse2026-07-08

Why this is a real AI job: The role is explicitly focused on building and managing data pipelines for Generative AI models (LLMs), including SFT and RLHF. The job description heavily emphasizes AI/ML concepts and their application to customer projects.

Scale is at the frontier of the AI industry, improving the world’s leading generative AI and large language models through model evaluations, human-powered supervised fine-tuning datasets, world-class reinforcement learning with human feedback, and more. Scale AI’s Public Sector team is growing in…

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Senior Machine Learning Engineer

Robinhood · [ProspectLand]

95/100
[ProspectLand]USAgreenhouse2026-07-07

Why this is a real AI job: The role explicitly focuses on building, fine-tuning, and deploying machine learning systems and large language models for core product use cases. The required skills are heavily weighted towards advanced AI/ML techniques.

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic c…

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Senior Machine Learning Engineer, Agentic AI

Robinhood · Bellevue, WA, Menlo Park, CA

95/100
Bellevue, WA, Menlo Park, CAUSAgreenhouse2026-07-02

Why this is a real AI job: The role is explicitly focused on building and evaluating agentic AI systems powered by LLMs. The job description details tasks directly related to ML model selection, fine-tuning, evaluation frameworks, and production deployment of AI agents.

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic c…

Details Open source / apply

New York, NYSwedenlever2026-07-02

Why this is a real AI job: The role explicitly focuses on developing and deploying Reinforcement Learning methods for Large Language Models to improve Spotify's recommendation algorithms. The description highlights core ML tasks like prototyping, productizing state-of-the-art models, a…

The Rewards team in Personalization (PZN) is defining the next generation of large-scale personalization at Spotify by pioneering novel Reinforcement Learning (RL) methods for Large Language Models (LLMs). We drive massive impact across all recommendations discovery surfaces by moving beyond simple…

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