Posted on: 15/05/2026
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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