Genai Trainee

About the Role

We are looking for enthusiastic and high-potential freshers to join our AI team as Trainee – Generative AI Engineers. This is an excellent opportunity for recent graduates from premium institutes to work on cutting-edge AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, and Machine Learning applications. You will be mentored by experienced AI professionals and get hands-on exposure to real-world projects, working with state-of-the-art AI tools and frameworks.

Key Responsibilities

• Assist in designing and developing applications powered by LLMs, RAG pipelines, and Agentic AI frameworks.
  
• Support in fine-tuning pretrained models (e.g., GPT, LLaMA, Mistral, BERT) for specific use cases.
  
• Learn to implement RAG pipelines with vector databases (e.g., FAISS, Pinecone) for context-aware AI solutions.
  
• Contribute to building intelligent agent workflows for automation, reasoning, and decision-making.
  
• Write Python scripts for text classification, summarization, question answering, and related NLP tasks.
  
• Work closely with senior engineers, data scientists, and product managers to understand requirements and deliver AI solutions.
  
• Follow best practices for coding, version control, and AI model deployment in cloud environments.

Requirements

Required Skills & Knowledge

• M.Tech in Data Science from IIT/NIT or other top-tier institutes (2024 or 2025 pass-out).
  
• Strong understanding of Python programming and basic ML concepts.
  
• Academic exposure to NLP, Generative AI, or related coursework/projects.
  
• Familiarity with AI frameworks like PyTorch, TensorFlow, Hugging Face Transformers (preferred but not mandatory).
  
• Good problem-solving, logical reasoning, and analytical skills.
  
• Eagerness to learn emerging AI/ML technologies and apply them to real-world problems.
  
• Good communication and teamwork skills.

Preferred Qualifications

• Internship or academic project experience in AI, ML, NLP, or data engineering.
  
• Knowledge of cloud platforms (AWS, Azure, or GCP).
  
• Certifications in AI/ML from reputed platforms.

Benefits

Why Join Us?

• Opportunity to work directly on Generative AI, RAG, and Agentic AI projects.
  
• Mentorship from senior AI experts.
  
• Exposure to enterprise-grade AI deployments across industries.
  
• Collaborative, innovation-driven work culture.