Generative AI Engineer – Entry Level

Develop and implement Generative AI applications using Large Language Models (LLMs). Work with LLM APIs such as OpenAI, Google Gemini, and Hugging Face models. Design and implement Retrieval-Augmented Generation (RAG) pipelines. Experiment with prompt engineering techniques to improve model responses and accuracy. Build AI-powered chatbots, virtual assistants, and intelligent automation solutions. Work with frameworks such as LangChain and LlamaIndex. Integrate vector databases such as FAISS, ChromaDB, or Pinecone. Perform testing, evaluation, and optimization of LLM-based applications. Collaborate with developers and data science teams to build scalable AI solutions. Stay updated with emerging Generative AI technologies, tools, and frameworks. Required Skills & Qualifications

Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field. Strong programming knowledge in Python. Basic understanding of Machine Learning, Deep Learning, and NLP concepts. Understanding of Large Language Models (LLMs) and Generative AI fundamentals. Basic knowledge of Prompt Engineering. Understanding of embeddings, vector databases, and semantic search. Strong analytical, problem-solving, and communication skills.

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