Generative AI Developer - LLM / Python

Responsibilities :

• Understand client business use cases and technical requirements; translate them into scalable AI architecture designs.
• Evaluate and propose suitable generative AI solutions using state-of-the-art models such as GPT, BERT, LLaMA, and others.
• Architect and develop enterprise-grade Generative AI systems using Azure AI and other cloud services (AWS, GCP, etc. ).
• Implement prompt engineering and Retrieval-Augmented Generation (RAG) techniques to enhance LLM performance.
• Design, develop, and fine-tune LLMs using frameworks such as Hugging Face Transformers, LangChain, or similar.
• Integrate AI solutions into enterprise platforms and APIs with a strong focus on security, scalability, and maintainability.
• Drive POCs to validate architecture decisions and new technologies.
• Collaborate with cross-functional teams to ensure high-quality delivery and alignment with non-functional requirements (NFRs).
• Apply CI / CD and MLOps best practices to streamline AI model deployment and monitoring.
• Lead architectural reviews, design documentations, and enforce design standards across AI projects.
• Troubleshoot and resolve technical issues through thorough root cause analysis.
• Stay up to date with advancements in Generative AI, LLMs, and cloud technologies.

Requirements :

(ref : hirist.tech)