Entry-level AI jobs – Page 21

Why this is a real AI job: The role is explicitly focused on building, evaluating, and improving mitigations for harms from AI systems. It requires deep technical skills in data science, machine learning, and model evaluation, with a strong emphasis on identifying and addressing risks…

About the Team The Preparedness team is an important part of the Safety Systems https://openai.com/safety/safety-systems org at OpenAI, and is guided by OpenAI’s Preparedness Framework https://openai.com/index/updating-our-preparedness-framework/. Frontier AI models have the potential to benefit al…

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Why this is a real AI job: The role is explicitly focused on building and improving AI systems, model customization, post-training workflows, evaluation, data pipelines, and integration with cloud infrastructure. The job description heavily emphasizes ML engineering experience and work…

ABOUT THE TEAM OpenAI’s API Multicloud team is responsible for extending OpenAI’s API platform into strategic cloud environments, starting with AWS https://openai.com/index/openai-on-aws/. The team’s mission is to distribute OpenAI’s API broadly and safely by enabling key API technologies in AWS-na…

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Why this is a real AI job: The role is centered around implementing and scaling OpenAI's Codex, an AI coding tool. The engineer will be deeply involved in AI workflows, prototyping, and customer enablement, making AI the core of the job.

About the team The Applied AI Engineering (Codex) team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-n…

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Why this is a real AI job: The role is explicitly focused on deploying and scaling generative AI applications for customers, requiring deep technical expertise in AI/ML models, API integration, and production deployment. The job description heavily emphasizes AI-specific tasks and resp…

About the team The Applied AI Engineering team is responsible for ensuring the safe and effective deployment of generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our API customers, working to build an effective backlog of frontier AI use…

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Why this is a real AI job: The role is explicitly focused on deploying and scaling AI applications for customers, working directly with frontier AI models and APIs. The job description emphasizes hands-on engineering, model evaluation, and driving AI use cases to production.

About the team The Applied AI Engineering team is responsible for ensuring the safe and effective deployment of generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our API customers, working to build an effective backlog of frontier AI use…

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Why this is a real AI job: The role explicitly focuses on deploying and guiding startups in utilizing OpenAI's Generative AI API. The core responsibilities revolve around building applications *on* the platform, providing technical guidance, prototyping, and delivering feedback to prod…

About the team The Applied AI Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and startups. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for the…

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Why this is a real AI job: The role explicitly focuses on applying GenAI and LLMs to cybersecurity challenges, building AI-powered tools, and integrating them into operational use. The description details hands-on implementation, model evaluation, and collaboration with AI research tea…

About the team The mission of the Applied AI Engineering team is to enable the secure and impactful implementation of GenAI solutions. We serve as technical thought partners and trusted advisors to our clients, ideating high-value use cases and providing the hands-on guidance necessary to drive pro…

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Why this is a real AI job: The role is explicitly focused on deploying and advising on Generative AI solutions, building applications with the OpenAI API, and driving AI adoption for customers. The core responsibilities revolve around AI/ML technologies.

About the team The Partner Applied AI Engineer team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mi…

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Why this is a real AI job: The role is explicitly focused on building observability tools for AI systems, specifically LLMs and generative AI. The job description heavily emphasizes AI/ML concepts and requires hands-on experience with LLM-powered applications.

The Agent Observability team builds cutting-edge tools to monitor, explain, and improve AI systems in production, particularly those leveraging Large Language Models (LLMs) and generative AI. We provide robust, scalable observability for AI workloads, including drift detection and model evaluation,…

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Why this is a real AI job: The role explicitly focuses on building and improving core AI components of a search and assistant product, including model training, language model adaptation, and combining LLMs with search engines. The tasks are heavily centered around AI/ML techniques.

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With…

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