AI Agent Development - Internship

About the internship:Selected intern's day-to-day responsibilities include:

1. Design and build AI-first workflows to solve real business and operational problems

2. Develop, test, and orchestrate AI agents and multi-agent systems

3. Apply LLMs, generative AI, and agentic AI to practical decision-making and automation use cases

4. Experiment with AI tools, frameworks, APIs, and orchestration platforms to prototype and ship solutions

5. Translate business problems into practical AI use cases and product solutions

6. Work closely with the mentor on real-world AI product development, from ideation to implementation

7. Learn how AI systems are designed, evaluated, and applied in real organizational environments

8. Document your experiments, learnings, and outcomes while continuously iterating and improving solutionsWho can apply:Only those candidates can apply who:are available for full time (in-office) internshipcan start the internship between 2nd Oct'26 and 6th Nov'26are available for duration of 2 monthsare from Delhi onlyhave relevant skills and interestsare Computer Science Engineering studentsStipend:INR₹ 5,000 - 10,000 /monthDeadline:[hidden]:59:59Other perks:Certificate, 5 days a weekSkills required:Generative AI ToolsAbout Company:Orient Electric operates with a philosophy to carve out a niche in the global fan industry and evolve into a premier lifestyle home solutions provider. With operations spanning over 35 countries, Orient Electric has earned the trust of millions of customers by providing cutting-edge lifestyle electrical products. Orient Electric is the largest manufacturer and exporter of fans in India with more than 60% share in exports.

Responsibilities

Selected intern's day-to-day responsibilities include:

1. Design and build AI-first workflows to solve real business and operational problems

2. Develop, test, and orchestrate AI agents and multi-agent systems

3. Apply LLMs, generative AI, and agentic AI to practical decision-making and automation use cases

4. Experiment with AI tools, frameworks, APIs, and orchestration platforms to prototype and ship solutions

5. Translate business problems into practical AI use cases and product solutions

6. Work closely with the mentor on real-world AI product development, from ideation to implementation

7. Learn how AI systems are designed, evaluated, and applied in real organizational environments

8. Document your experiments, learnings, and outcomes while continuously iterating and improving solutions