Senior AI Platform Engineer

Required Skills Generative AI & LLMs RAG & Vector Databases AI Frameworks Generative AI and LLMs Prompt engineering AI/ML solution development End-to-end implementation expertise We are seeking a highly skilled Senior Generative AI Engineer to design, develop, and deploy enterprise-grade AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and Machine Learning technologies. The ideal candidate will have strong experience in AI/ML engineering, prompt engineering, vector databases, cloud platforms, and productionizing GenAI applications. Key Responsibilities Design and develop Generative AI applications using LLMs such as GPT, Claude, Gemini, Llama, and Mistral. Build and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases. Develop autonomous AI agents and multi-agent systems for business workflows. Fine-tune, evaluate, and optimize foundation models for domain-specific use cases. Create scalable APIs and microservices for AI-powered applications. Implement prompt engineering strategies to improve model performance and accuracy. Integrate AI solutions with enterprise applications, databases, and third-party systems. Deploy and manage AI workloads on cloud platforms. Monitor model performance, latency, costs, and security compliance. Collaborate with data engineers, software developers, product managers, and business stakeholders. Establish AI governance, responsible AI practices, and model evaluation frameworks. Mentor junior AI engineers and provide technical leadership. Large Language Models (LLMs) GPT, Claude, Gemini, Llama, Mistral Prompt Engineering Fine-Tuning and Model Adaptation AI Agents and Agentic Workflows Multi-Agent Frameworks Retrieval-Augmented Generation (RAG) Semantic Search Vector Embeddings Vector Databases: Pinecone Weaviate ChromaDB Milvus FAISS LangChain LangGraph LlamaIndex CrewAI AutoGen Semantic Kernel Skills: prompt,rag,llm Required Skills Generative AI & LLMs RAG & Vector Databases AI Frameworks Generative AI and LLMs Prompt engineering AI/ML solution development End-to-end implementation expertise We are seeking a highly skilled Senior Generative AI Engineer to design, develop, and deploy enterprise-grade AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and Machine Learning technologies. The ideal candidate will have strong experience in AI/ML engineering, prompt engineering, vector databases, cloud platforms, and productionizing GenAI applications. Key Responsibilities Design and develop Generative AI applications using LLMs such as GPT, Claude, Gemini, Llama, and Mistral. Build and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases. Develop autonomous AI agents and multi-agent systems for business workflows. Fine-tune, evaluate, and optimize foundation models for domain-specific use cases. Create scalable APIs and microservices for AI-powered applications. Implement prompt engineering strategies to improve model performance and accuracy. Integrate AI solutions with enterprise applications, databases, and third-party systems. Deploy and manage AI workloads on cloud platforms. Monitor model performance, latency, costs, and security compliance. Collaborate with data engineers, software developers, product managers, and business stakeholders. Establish AI governance, responsible AI practices, and model evaluation frameworks. Mentor junior AI engineers and provide technical leadership. Large Language Models (LLMs) GPT, Claude, Gemini, Llama, Mistral Prompt Engineering Fine-Tuning and Model Adaptation AI Agents and Agentic Workflows Multi-Agent Frameworks Retrieval-Augmented Generation (RAG) Semantic Search Vector Embeddings Vector Databases: Pinecone Weaviate ChromaDB Milvus FAISS LangChain LangGraph LlamaIndex CrewAI AutoGen Semantic Kernel Skills: prompt,rag,llm