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Xoriant - Generative AI Developer - LLM Models

Xoriant
7 - 12 Years
Multiple Locations

Posted on: 15/05/2026

Job Description

Description :


Role Overview


We are seeking a highly skilled GenAI Developer with strong expertise in Python, Large Language Models (LLMs), and modern Generative AI frameworks to build scalable AI-powered applications and intelligent automation solutions.


The ideal candidate should possess hands-on experience in designing and developing Retrieval-Augmented Generation (RAG) systems, working with vector databases, and integrating LLM-based capabilities into enterprise applications.


Key Responsibilities :


- Design, develop, and deploy scalable Generative AI and LLM-powered applications


- Build and optimize RAG (Retrieval-Augmented Generation) pipelines and AI workflows


Develop intelligent solutions using :


- LLMs


- Embedding models


- Prompt engineering techniques


- AI orchestration frameworks


- Integrate AI capabilities into enterprise applications using REST APIs and microservices architecture


- Work with vector databases to enable efficient semantic search and retrieval capabilities


- Develop and optimize AI pipelines for performance, scalability, and reliability


- Collaborate with data scientists, product teams, and engineering stakeholders to deliver AI-driven business solutions


- Evaluate and experiment with emerging GenAI technologies, frameworks, and models


Ensure AI solutions follow best practices related to :


- Security


- Scalability


- Model optimization


- Responsible AI usage


- Participate in architecture discussions, code reviews, and technical design sessions


Required Skills & Experience :


- 7 -12 years of software development experience with strong programming expertise in Python


Hands-on experience with :


- Large Language Models (LLMs)


- Generative AI frameworks


- AI application development


Strong understanding of :


- Natural Language Processing (NLP) concepts


- Prompt engineering


- Semantic search and retrieval systems


Experience building and implementing :


- RAG systems


- AI-powered conversational applications


- Knowledge retrieval solutions


Strong experience with :


- LangChain and/or LlamaIndex


- Hugging Face Transformers


Familiarity with vector databases such as :


- FAISS


- Pinecone


- Weaviate


Good understanding of :


- Embedding models


- REST APIs


- Microservices architecture


- Software design principles


Strong knowledge of :


- Data structures and algorithms


- Scalable application development


- API integrations

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