Senior Agentic AI Engineer(5+years)

Job Title: AI Engineer Experience: 5+ Years Location: Remote Job Description We are looking for a skilled AI Engineer with 5+ years of experience in building and deploying AI-powered applications. The ideal candidate should have hands-on experience with Generative AI, Large Language Models (LLMs), and modern AI frameworks. Key Responsibilities Develop and deploy AI/ML and Generative AI solutions.Build applications using LLMs, RAG pipelines, and prompt engineering techniques.Work with frameworks such as LangChain and LlamaIndex.Integrate and manage vector databases for AI applications.Deploy, monitor, and optimize AI models in cloud environments.Collaborate with cross-functional teams to deliver scalable AI solutions.Required Skills Strong experience in Python.Hands-on experience with Generative AI and LLMs.Knowledge of RAG, Prompt Engineering, and AI workflows.Experience with LangChain and/or LlamaIndex.Familiarity with Vector Databases.Experience with AWS, Azure, or GCP.Understanding of Model Deployment and MLOps practices. Job Title: AI Engineer Experience: 5+ Years Location: Remote Job Description We are looking for a skilled AI Engineer with 5+ years of experience in building and deploying AI-powered applications. The ideal candidate should have hands-on experience with Generative AI, Large Language Models (LLMs), and modern AI frameworks. Key Responsibilities Develop and deploy AI/ML and Generative AI solutions.Build applications using LLMs, RAG pipelines, and prompt engineering techniques.Work with frameworks such as LangChain and LlamaIndex.Integrate and manage vector databases for AI applications.Deploy, monitor, and optimize AI models in cloud environments.Collaborate with cross-functional teams to deliver scalable AI solutions.Required Skills Strong experience in Python.Hands-on experience with Generative AI and LLMs.Knowledge of RAG, Prompt Engineering, and AI workflows.Experience with LangChain and/or LlamaIndex.Familiarity with Vector Databases.Experience with AWS, Azure, or GCP.Understanding of Model Deployment and MLOps practices.