Overview
This internship offers the chance to work at the intersection of AI engineering, product experimentation, and automation. You’ll take part in building proof-of-concept features, enhancing prompt behavior for AI models, and developing Python-based tools that support internal teams. If you're excited about applied AI and hands-on development, this role gives you direct exposure to real-world use cases and rapid iteration cycles.
What You’ll Get Out of This Internship
- Experience designing and testing AI-driven prototypes on an agent-based platform
- Practical exposure to prompt engineering and model evaluation
- Opportunities to build production-minded Python tools, dashboards, and integrations
- A deeper understanding of algorithmic efficiency and system design
- Insight into how AI performance is measured, monitored, and reported to leadership
- Collaboration with product teams and end users to iterate quickly
- Mentorship from engineers working on cutting-edge automation technology
Key Responsibilities
Prototype & AI Development
- Create and implement proof-of-concept features aimed at improving workplace efficiency
- Experiment with prompts to enhance model reliability and task completion
Python Engineering
- Develop clean, scalable scripts and components used in tooling, automation, and dashboards
- Integrate PoCs with existing systems and platforms
Algorithms & Performance Optimization
- Apply DSA principles to refine code behavior and model interaction pipelines
Reporting & Analytics Automation
- Build automated weekly and monthly analytics reports for leadership
- Maintain dashboards and ensure consistent performance tracking
Data Quality & Insights
- Verify accuracy of critical metrics and identify trends or anomalies
- Improve reporting processes for better clarity and faster execution
Collaboration & Support
- Work closely with product owners and internal users to refine solutions
- Support additional development or research tasks as assigned
Requirements
- Enrolled in a bachelor’s program in Computer Science, Information Systems, Data Science, AI, or related fields
- Strong command of Python
- Familiarity with LLM concepts, NLP tools, or prompt-engineering techniques is beneficial
- Solid understanding of data structures and algorithms from courses or projects
- Knowledge of version control, API integration, or cloud basics is an advantage
- Preferably available full-time; exceptional part-time applicants (minimum 3 days/week) may also be considered
Who This Internship Is Ideal For
- Students passionate about building AI-driven solutions and experimenting with advanced models
- Those who enjoy exploring algorithmic efficiency and structured problem-solving
- Individuals seeking hands-on experience in prototyping, automation, or applied ML workflows
- Learners who thrive in environments with quick feedback loops and evolving requirements
About the Company
The team focuses on transforming workplace productivity through automation, AI agents, and data-driven insights. You’ll join a group that values experimentation, rapid development, and impactful engineering contributions.
Internship Details
- Location: Not specified (assumes company’s primary office or hybrid depending on policy)
- Commitment: Full-time preferred; part-time candidates (≥3 days/week) may be considered
- Focus Area: AI engineering, Python development, and automated reporting
