Posted on: 10/10/2025
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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