Senior GenAI/Agentic AI Engineer

As a Generative AI Engineer and ML expert at EazyML, you will be responsible for researching and developing the EazyML platform with cutting-edge AI agents. This is a full-time Remote role, allowing you to work from home anywhere in India. Key Responsibilities: - LLM (GPT); prompt engineering for reflex, model, and self-learning agents - Facility with Python to code wrappers, interface with APIs, develop utilities - Experience with packages such as LangChain and LangGraph - Experience with assembling intelligent AI agents to implement a variety of use cases - A recent use case for Agentic AI powered by LLMs: NLQ to SQL translator - Ability to think through clearly for a solution design Qualifications: - Experience in AI/GenAI solution for prompt engineering, architecture, consulting, and enterprise architecture - Experience in software development - Excellent communication skills (customer facing position) - A deep understanding of GenAI/ML technologies and their implementations - Experience in the financial, healthcare, or insurance industries is a plus - Bachelor's/Master's degree in Computer Science/data science or related field - Demonstrated expertise in statistical analysis and machine learning concepts, with proficiency in Python - Solid understanding and experience in designing, implementing, and optimizing end-to-end machine learning pipelines - Minimum 2+ years of experience in Generative AI and Minimum 2+ years in traditional Machine Learning, with a focus on the creation, training, and deployment of services such as recommendation engines, deep learning, and generative AI models As an EazyML Generative AI Engineer and ML expert, you will contribute to the development of innovative AI solutions while working remotely from anywhere in India. Your role will involve hands-on experience with various AI technologies and require a deep understanding of GenAI/ML concepts. If you have a passion for AI and meet the qualifications mentioned above, we encourage you to apply and be a part of our dynamic team at EazyML. As a Generative AI Engineer and ML expert at EazyML, you will be responsible for researching and developing the EazyML platform with cutting-edge AI agents. This is a full-time Remote role, allowing you to work from home anywhere in India. Key Responsibilities: - LLM (GPT); prompt engineering for reflex, model, and self-learning agents - Facility with Python to code wrappers, interface with APIs, develop utilities - Experience with packages such as LangChain and LangGraph - Experience with assembling intelligent AI agents to implement a variety of use cases - A recent use case for Agentic AI powered by LLMs: NLQ to SQL translator - Ability to think through clearly for a solution design Qualifications: - Experience in AI/GenAI solution for prompt engineering, architecture, consulting, and enterprise architecture - Experience in software development - Excellent communication skills (customer facing position) - A deep understanding of GenAI/ML technologies and their implementations - Experience in the financial, healthcare, or insurance industries is a plus - Bachelor's/Master's degree in Computer Science/data science or related field - Demonstrated expertise in statistical analysis and machine learning concepts, with proficiency in Python - Solid understanding and experience in designing, implementing, and optimizing end-to-end machine learning pipelines - Minimum 2+ years of experience in Generative AI and Minimum 2+ years in traditional Machine Learning, with a focus on the creation, training, and deployment of services such as recommendation engines, deep learning, and generative AI models As an EazyML Generative AI Engineer and ML expert, you will contribute to the development of innovative AI solutions while working remotely from anywhere in India. Your role will involve hands-on experience with various AI technologies and require a deep understanding of GenAI/ML concepts. If you have a passion for AI and meet the qualifications mentioned above, we encourage you to apply and be a part of our dynamic team at EazyML.