GenAI Developer--Senior
GenAI Developer
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.
Python,GenAI,TensorFlow, PyTorch, Keras, Langchain, MLflow, Promtflow, Graph Databases, Neo4j, Azure, RAG, Knowledge Graphs RAG, Data Science
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