- Zycus is a pioneer in Cognitive Procurement software and a global leader in Source-to-Pay solutions.
- Powered by our Merlin AI Suite, Zycus automates tactical work, surfaces insights, and transforms enterprise procurement experiences. Join us and be part of the next generation of AI innovation.
Zycus Recruitment Drive 2025 | Zycus Hiring Ai Engineer
The job you are looking for is no longer available..- Company Name
- Zycus
- Company Website
- http://zycus.com/
- Job Role
- AI Engineer
- Job Type
-
- Internship
- Job Location
-
- Mumbai
- Pune
- Skills
-
- Python
- APIs,
- Flask
- Education
-
- BE/BTech
- Branch
-
- IT
- CS
- Job will expire on
- 28 Jan 2026
About Company
Job Overview
- Zycus is looking for a passionate and curious AI Intern to join our innovative team.
- If you’re eager to work with cutting-edge technologies like LLMs (Large Language Models), open-source AI frameworks, and advanced NLP systems, this internship is your gateway to a high-impact career in Artificial Intelligence.
Eligibility Criteria
- Bachelor’s/master’s in computer science, AI, or related field.
- Strong interest in AI/ML, with some exposure to Python and frameworks such as PyTorch, TensorFlow, or Hugging Face.
- Familiarity with at least one web framework (FastAPI or Flask preferred).
- Understanding of how LLMs work, including concepts like embeddings, fine-tuning, and prompt engineering (project work or self-learning is welcome).
- Good problem-solving skills and willingness to learn complex AI workflows in a production setting.
Job Description
- Assist in building AI solutions using open-source models (e.g., Llama 2, Mistral, Hugging Face) and third-party LLM APIs like OpenAI and Anthropic.
- Contribute to research and experimentation on advanced techniques such as Retrieval-Augmented Generation (RAG), GraphRAG, and Agent Systems using tools like LangChain or LlamaIndex.
- Support the team in deploying AI models using scalable tools like vLLM, FastAPI, or Flask.
- Help in integrating AI functionalities into real-world enterprise applications.
- Participate in developing data pipelines for AI projects – from data preprocessing to model evaluation.
- Stay updated on the latest AI trends and assist the team in identifying areas for innovation and improvement.
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