Description
About the Role
Our client is looking for a skilled Senior Generative AI Engineer with 3–8 years of hands-on experience in building, fine-tuning, and deploying generative models. The ideal candidate will have robust expertise in large language models (LLMs), prompt engineering, and scalable AI systems, along with a solid understanding of modern Gen AI frameworks and tools.
Key Responsibilities
Design, develop, and deploy generative AI solutions using LLMs and foundation models Build and optimize applications leveraging text, image, or multimodal generation Develop and refine prompts, chains, and agents for high-quality outputs Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases Fine-tune pre-trained models for domain-specific use cases Integrate AI models into production using APIs, microservices, or cloud platforms Collaborate with cross-functional teams to deliver AI-driven products Monitor model outputs, improve performance,



and ensure responsible AI usage Stay updated with the latest advancements in Generative AI and LLM ecosystems Required Skills & Qualifications
Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field 3–8 years of experience in AI/ML with exposure to Generative AI projects Strong programming skills in Python (mandatory) Hands-on experience with LLMs such as GPT, LLa MA, Claude, or similar models Experience with frameworks/tools like Lang Chain, Llama Index, Hugging Face Solid understanding of:
Generative AI concepts Prompt Engineering techniques Transformers architecture Experience working with vector databases (FAISS, Pinecone, Weaviate, etc.) Familiarity with APIs, embeddings, and semantic search Experience in deploying models using REST APIs, Docker, or cloud services Preferred Qualifications
Experience with cloud platforms like AWS (Bedrock, Sage Maker), Azure Open AI, Google Vertex AI Knowledge of LLMOps / MLOps tools Experience with multimodal AI (text, image, audio) Fam

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