Senior GenAI/ Agentic Ai Engineer

EazyML is seeking an experienced Generative AI Engineer and ML expert for a full-time, remote role. This is not an entry-level position; candidates must possess a minimum of 3 years of hands-on experience implementing Generative AI use cases. The role involves researching and developing cutting-edge AI agents for the EazyML platform. This is a customer-facing position requiring excellent communication skills.

Qualifications:

• Proven experience in AI/GenAI solution development, including prompt engineering, architecture, consulting, and enterprise architecture.
• Strong software development background.
• Excellent customer-facing communication skills.
• Deep understanding of GenAI/ML technologies and their practical implementations.
• Industry experience in financial, healthcare, or insurance sectors is a plus.
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Demonstrated expertise in statistical analysis and machine learning concepts, with proficiency in Python.
• Solid experience in designing, implementing, and optimizing end-to-end machine learning pipelines.
• Minimum 2+ years of experience in Generative AI and a minimum of 2+ years in traditional Machine Learning, focusing on services like recommendation engines, deep learning, and generative AI models.
• Proficiency in LLMs (GPT), prompt engineering for various agent types (reflex, model, self-learning).
• Ability to code wrappers, interface with APIs, and develop utilities using Python.
• Experience with packages such as LangChain and LangGraph.
• Experience assembling intelligent AI agents for diverse use cases.
• Demonstrated experience with Agentic AI powered by LLMs, such as NLQ to SQL translators.
• Strong analytical and solution design capabilities.
• Hands-on experience with Large Language Models, Transformers, CNN, TensorFlow, Scikit-learn, PyTorch, NLP libraries, Embedding Models, and Vector Databases.
• Practical experience with OpenAI, Llama/Llama2, other open-source models, and Azure OpenAI models.
• A foundational understanding of Engineering, Math, and Statistics (Data Science/Computer Science preferred).