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GenAI Developer--Senior 

We are seeking a skilled a GenAI Developer,  to join our team and lead a project focused on developing GenAI applications using Large Language Models (LLMs), Python, Graph Database (like Neo4j ).
In this role, you will be responsible for designing and optimizing Al-generated text prompts to maximize effectiveness for various applications. You will also collaborate with cross-functional teams to ensure seamless integration of optimized prompts into the overall product or system.

Responsibilities:

• Lead the development and implementation of Generative AI and LLM projects, ensuring alignment with business objectives.
• Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of Generative AI applications.
• Build & engage effectively with Customers, Management heads, showcasing and demonstrating the relevance and impact of Generative AI applications in their business use cases.
• Ensure seamless integration of optimized prompts into the overall product or system
• Rigorously evaluate prompt performance using metrics and user feedback
• Collaborate with cross-functional teams to understand requirements, to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure prompts align with business goals and user needs
• Educate team on best practices and keep updated on the latest AI advancements to bring innovative solutions to the project
   

Requirements:

• 4 to 8 years of relevant professional experience
• Expertise in Python programming including experience with Al/machine learning frameworks like TensorFlow, PyTorch, Keras, Langchain, MLflow, Promtflow
• 1-2 years of working knowledge of NLP and LLMs like BERT, GPT-3/4, T5, etc. Knowledge of how these models work and how to fine-tune them
• Expertise in prompt engineering principles and techniques like chain of thought, in-context learning, tree of thought, etc.
• Knowledge of retrieval augmented generation (RAG)
• Knowledge of Knowledge Graph RAG
• Strong analytical and problem-solving skills with the ability to think critically and troubleshoot issues
• Excellent communication skills, both verbal and written in English
• Skills

• Python, GenAI, TensorFlow, PyTorch, Keras, Langchain, MLflow, Promtflow, Graph Databases, Neo4j, Azure, RAG, Knowledge Graphs RAG, Data Science

Preferred qualifications:

• Master's degree in Computer Science, Engineering, or related field.
• Understanding of cloud platforms and services, particularly Microsoft Azure.
• Experience working with large datasets and across various data sources.

If you are a passionate  GenAI  Developer with a strong background in .Python, GenAI, TensorFlow, PyTorch, Keras, Langchain, MLflow, Promtflow, Graph Databases, Neo4j, Azure, RAG, Knowledge Graphs RAG, Data Science

development, we encourage you to apply. Join our team and contribute to building intelligent applications that transform industries and revolutionize user experiences.

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