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Urgent! Artificial Intelligence Engineer - LLM/RAG Job Opening In Gurugram – Now Hiring True Tech Professionals

Artificial Intelligence Engineer LLM/RAG



Job description

<p><p><b>Job Title :</b> AI Engineer<br/><br/><b>Experience :</b> 3- 4 years<br/><br/><b>Location :</b> Gurgaon (Hybrid)<br/><br/><b>Joining :</b> Immediate<br/><br/><b>Key Responsibilities :</b></p><p><p><b><br/></b></p>- Design, develop, and deploy Generative AI solutions for real-world applications.<br/><br/></p><p>- Work with advanced Large Language Models (LLMs) and build Retrieval-Augmented Generation (RAG) pipelines.<br/><br/></p><p>- Implement AI/ML models using Python with TensorFlow or PyTorch frameworks.<br/><br/></p><p>- Fine-tune Transformer-based architectures for domain-specific tasks.<br/><br/></p><p>- Collaborate with product and engineering teams to integrate AI solutions into production environments.<br/><br/></p><p>- Optimize model performance, scalability, and accuracy while maintaining cost-effectiveness.<br/><br/></p><p>- Stay updated with the latest research and trends in Gen AI, LLMs, and NLP.<br/><br/><b>Required Skills :</b></p><p><p><b><br/></b></p>- Strong expertise in Generative AI and LLMs (GPT, LLaMA, etc.)<br/><br/></p><p>- Hands-on experience with RAG pipelines and vector databases.<br/><br/></p><p>- Proficiency in Python, TensorFlow, and/or PyTorch.<br/><br/></p><p>- In-depth understanding of Transformer models and NLP concepts.<br/><br/></p><p>- Experience deploying models to cloud environments (AWS, Azure, GCP preferred).<br/><br/></p><p>- Ability to work in fast-paced environments with minimal supervision.<br/><br/><b>Good to Have :</b></p><p><p><b><br/></b></p>- Knowledge of MLOps practices and CI/CD pipelines for ML models.<br/><br/></p><p>- Prior experience with fine-tuning open-source models.<br/><br/></p><p>- Exposure to LangChain, LLMOps tools, or prompt engineering techniques.</p><br/></p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



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