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Job Description

Description :


About the Role :


We are seeking a Gen AI Developer with a strong background in building, fine-tuning, and deploying Generative AI applications. The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and Prompt Engineering, along with strong programming skills in Python and a solid understanding of Data Structures and Algorithms (DSA).


Key Responsibilities :


- Design, develop, and implement GenAI solutions using state-of-the-art LLMs and RAG architectures.


- Build and optimize prompt pipelines, embeddings, and vector databases for contextual responses.


- Fine-tune pre-trained language models for domain-specific tasks and ensure optimal model performance.


- Collaborate with data scientists, ML engineers, and product teams to design scalable AI-driven applications.


- Integrate AI components into existing systems and APIs for real-time user interactions.


- Conduct performance benchmarking and continuously improve model efficiency.


- Stay up to date with emerging GenAI frameworks, tools, and best practices.


Required Skills :


- GenAI Development : Hands-on experience with building generative AI applications.


- RAG (Retrieval-Augmented Generation) : Proficiency in retrieval pipelines and vector database integrations (e.g., FAISS, Pinecone, Chroma).


- LLMs : Experience with models like GPT, Llama, Mistral, or similar open-source frameworks.


- Prompt Engineering : Ability to craft, optimize, and automate prompts for improved model output.


- Programming : Strong expertise in Python and familiarity with AI/ML libraries (e.g., LangChain, Hugging Face Transformers, OpenAI API).


- Data Structures & Algorithms (DSA) : Solid understanding and application in optimizing AI workflows.


- Strong problem-solving skills and ability to work in a fast-paced environment.


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