Tellius Hiring AI Engineering Intern – Remote Internship Opportunity in AI & Analytics
Tellius is Hiring: AI Engineering Intern (Remote)
Tellius is on a mission to revolutionize enterprise analytics by combining AI-powered automation with an intuitive self-service platform. Unlike traditional BI tools, Tellius enables users to ask questions, get instant insights, and perform advanced analysis using natural language — all at cloud scale.
Now, we’re offering a Remote AI Engineering Internship for students and recent graduates passionate about AI, data, and automation.
📋 Job Overview Table
Field | Details |
---|---|
Position | AI Engineering Intern |
Company | Tellius |
Location | Remote |
Job Type | Internship |
Contract Type | Temporary |
Department | AI Engineering |
Education | Current student or recent graduate (CS, Data Science, or related) |
Application Link | Apply Now |
💼 About Tellius
Tellius helps organizations unlock faster, deeper insights from massive datasets using AI-powered analytics. Users can query data conversationally, uncover hidden trends, and automate multi-step analysis through AI agents. With tools like LangChain and OpenAI integrations, Tellius delivers next-gen analytics that go beyond dashboards.
🛠 Your Responsibilities
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Support the development of internal tools and platform features.
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Prototype AI agent workflows and integrations (LangChain, OpenAI, etc.).
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Build backend services using Python and SQL.
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Work with structured data to support business use cases.
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Contribute to design, testing, and documentation of new features.
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Learn and apply engineering best practices in a startup environment.
📌 Qualifications
Must-Have:
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Current student or recent graduate in Computer Science, Data Science, or related field.
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Familiarity with Python and SQL.
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Interest in AI/ML applications, large language models, or analytics.
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Ability to work independently and communicate effectively in a remote team.
Bonus Skills:
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Experience with LangChain, LlamaIndex, or small AI projects.
🎯 Why Join Tellius as an Intern?
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Work on real production code.
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Learn from engineers working at the AI–analytics intersection.
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Contribute to features that may ship to real customers.
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Be part of a mission-driven team shaping AI-powered decision-making.
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