Job Description: Software Engineering Intern (AI Analytics)

Company Information

Tellius enables organizations to get faster insights and act upon cloud-scale enterprise data using AI-powered automation. Any user can ask any question across billions of records via a ChatGPT-like interface, understand “why” metrics change via AI insights that surface hidden key drivers and trends, and leverage agentic flows to perform complex multipart analysis easily — in a self-service manner. Unlike traditional BI tools, Tellius excels at ad hoc analysis, deep dives, and business-friendly advanced analytics.

Position Overview

We are seeking a motivated Software Engineering Intern to support the development of internal tools and features for our AI-driven analytics platform. This internship offers a unique opportunity to gain hands-on experience at the intersection of AI, data analytics, and enterprise software development within a dynamic startup environment.

Responsibilities

• Support development of internal tools and features that power our AI-driven analytics platform.
• Assist with prototyping AI agent workflows and integrations (e.g., LangChain, OpenAI, or other frameworks).
• Help build backend services using Python and SQL.
• Work with structured data and contribute to pipelines that support business use cases.
• Collaborate with the team on design, testing, and documentation of new features.
• Learn and apply engineering best practices in a fast-paced startup environment.

Requirements

• Current student or recent graduate in Computer Science, Data Science, or related field.
• Familiarity with Python and SQL.
• Interest in AI/ML applications, large language models, or analytics.
• Ability to work independently and communicate effectively with a distributed team.

Bonus Qualifications

• Experience with LangChain, LlamaIndex, or building small personal AI projects.

Why This Internship

• Get exposure to real production code and fast-moving product development.
• Learn from engineers working at the intersection of AI and enterprise analytics.
• Make meaningful contributions to features that may ship to customers.
• Join a mission-driven team shaping the future of AI-powered decision-making.