Support development of internal LLM-based tools (coding assistants, RAG pipelines, prompt optimization), improve engineering efficiency, test and document AI tools, and research emerging AI technologies.
What You Will Do
- Assist in building AI tools such as coding assistants, automation scripts, and knowledge Q&A systems
- Support the development of LLM-based applications (e.g., prompt optimization, lightweight RAG pipelines)
- Contribute to initiatives that improve engineering efficiency and developer experience
- Help test, iterate, and document internal AI tools and platforms
- Research and experiment with emerging AI technologies and use cases
What We're Looking For
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science or a related field
- Proficiency in at least one programming language (Python preferred)
- Strong fundamentals in programming and problem-solving
- Interest in AI, especially large language models (LLMs)
- Experience using tools like ChatGPT, Copilot, or similar
- Familiarity with basic software development workflows (e.g., Git, debugging)
- Good communication skills and willingness to learn
Bonus Points
- Experience with AI-related projects (e.g., chatbots, NLP, automation tools)
- Exposure to Prompt Engineering or AI-assisted development workflows
- Coursework or basic knowledge in machine learning or NLP
- Personal projects, technical blogs, or GitHub portfolio
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What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
