Generative ai engineer intern

1 day ago

Gandhinagar, India Pythrust Technologies Full time

Company Description Pythrust Technologies, registered at We Work Two Horizon Center, Gurugram, is a product development company specializing in building MVPs for entrepreneurs and brands. We focus on delivering core features first, enabling rapid market testing and scaling. Our portfolio includes work with Mercedes Benz's EQC, Jindal Group's Indian Startup School LMS, Amar Ujala’s Safalta Learning App, and Bihani Group's Via Veda Astrologers Platform. Role Description This is an internship role for a Generative AI Engineer Intern at Pythrust Technologies. This is a hybrid role with flexibility for remote work. The intern will work closely with our product and engineering teams to experiment with large language models, build small AI features, fine-tune open-source models, and assist with integrating generative AI into real products. You will get hands-on exposure to prompt engineering, embeddings, vector databases, AI APIs, pipelines, and model evaluation. This is a high-learning, high-ownership role suited for someone who wants to build actual AI solutions rather than just theoretical projects. Note: This is an unpaid internship. It is designed for learning, portfolio building, and gaining real-world AI engineering exposure inside a fast-paced product team. Responsibilities Experiment with generative AI models (LLMs, image models, embeddings, etc.) Assist in fine-tuning and optimizing open-source models Build small prototypes and AI features for internal product experiments Design, test, and refine AI prompts and workflows Support integration of AI capabilities into web/mobile products Perform research on latest AI tools, techniques, and APIs Document experiments, results, and implementation approaches Collaborate with product designers and developers on feature building Qualifications Strong interest in Artificial Intelligence, Machine Learning, or Generative AI Good understanding of Java Script and basic ML concepts Familiarity with LLMs, embeddings, APIs (Open AI, Gemini, etc.) is a plus Ability to learn fast and experiment independently Strong research and analytical skills Basic understanding of data preprocessing and model evaluation Proactive, curious, and willing to build hands-on demos Pursuing a degree in Computer Science, Engineering, AI/ML, or related fields

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