About the Internship
Selected intern's day-to-day responsibilities include:1. Develop Python-based applications or prototypes that integrate large language models (LLMs) using frameworks like LangChain, Haystack, or custom agentic architectures.
2. Collaborate on building multi-step pipelines (MCP) where components handle distinct tasks such as retrieval, reasoning, and action execution.
3. Assist in designing, testing, and refining prompt engineering strategies to improve LLM performance across varied use cases.
4. Contribute to the automation of workflows involving tools like OpenAI, Anthropic, or similar API-driven LLM platforms.
5. Work with senior engineers to benchmark and evaluate the effectiveness of agentic workflows.
6. Document code, API usage, and design decisions clearly for future team reference.
7. Participate in code reviews, sprint planning, and technical discussions.
Number of Openings
3 openingsPerks of this Internship
Informal dress code 5 days a week
Other Requirements
1. are available for full time (in-office) internship
2. have relevant skills and interests
3. can start the internship between 23rd Sep'25 and 28th Oct'25
4. are available for duration of 6 months
5. have already graduated or are currently in any year of study
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