Early Career Generative AI Engineer @ Reality AI Lab | Jobright.ai
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Reality AI Lab · 5 hours ago

Early Career Generative AI Engineer

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Responsibilities

Build Generative AI Solutions: Develop Marvel AI tools using technologies like LangChain, Retrieval-Augmented Generation (RAG), AI Agents, and Multimodal AI.
Contribute to Open-Source Projects: Collaborate on global initiatives, helping shape open-source AI tools and applications with real-world educational impact.
Collaborate in a Supportive Team: Work closely with fellow lab members to exchange ideas, solve challenges, and deliver on impactful projects.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Generative AI DevelopmentPythonCloud ComputingLLMsRetrieval-Augmented Generation (RAG)AI AgentsMultimodal AITeamwork Skills

Required

Bachelor’s or Master’s degree (completed or in progress) in Computer Science, AI, or related fields.
Intermediate proficiency in Python and experience with cloud computing (e.g., Google Cloud).
Strong analytical, problem-solving, and creative thinking abilities; excellent communication and teamwork skills.

Preferred

Beginner-level knowledge of Generative AI Development (including LLMs, RAG, and AI Agents) is recommended but not required.

Company

Reality AI Lab

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At the Reality AI for Social Good Lab, we’re dedicated to leveraging AI responsibly.

Funding

Current Stage
Late Stage
Company data provided by crunchbase
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Orion

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