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Full Time

Job Description

You are a skilled and innovative AI Developer with hands-on experience in OpenAI APIs, HuggingFace Transformers, and prompt engineering. Your main responsibility will be to design, develop, and deploy intelligent systems for text, image, and code generation by utilizing modern AI technologies and large language models (LLMs). In this role, you will play a crucial part in constructing conversational agents, generative pipelines, and integrating AI into real-world web applications. You will be tasked with utilizing OpenAI APIs such as ChatGPT and DALLE for advanced natural language and image generation tasks. Additionally, you will implement and fine-tune pre-trained models using HuggingFace Transformers. Your role will involve designing optimal prompts for LLMs to enhance model output accuracy and relevance. You are expected to develop and integrate embedding-based search systems employing OpenAI Embeddings, FAISS, or Pinecone. Moreover, you will be responsible for building scalable content generation pipelines for text, image, and code automation. Your tasks will also include fine-tuning of LLMs using LoRA, PEFT, and HuggingFace Trainer APIs, applying NLP techniques with tools like spaCy, NLTK, and Transformers, and developing intelligent chatbots using platforms like Rasa, Dialogflow, or Microsoft Bot Framework. You will integrate AI solutions into web applications using React.js and manage user session and context flow to provide personalized and coherent conversational experiences. Additionally, you will handle data preprocessing using Pandas, regex, and custom scripts, and utilize scikit-learn, XGBoost, and LightGBM for classical ML tasks when necessary. For this role, you are required to hold a Bachelors or Masters degree in Computer Science, AI, Data Science, or a related field. You should have proven experience with OpenAI GPT-based models and image generation APIs, expertise in Prompt Engineering and model behavior optimization, as well as solid experience with embedding-based search and vector databases. Strong command over React.js and JavaScript for frontend-AI integration, a good understanding of ML frameworks and model deployment workflows, and excellent communication and problem-solving skills are essential. Preferred qualifications include experience deploying AI models in production environments, familiarity with LangChain or similar LLM orchestration tools, and previous work on projects involving Generative AI, conversational AI, or custom LLM training.,

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