Posted on: 27/05/2026
Description :
Key Responsibilities :
- Build enterprise AI copilots and intelligent automation solutions
- Develop and optimize RAG (Retrieval-Augmented Generation) pipelines
- Integrate and manage Large Language Models (LLMs) for enterprise applications
- Work with frameworks such as LangChain, LlamaIndex, and OpenAI APIs
- Design and optimize AI workflows for scalability and performance
- Fine-tune AI/LLM models and improve prompt engineering strategies
- Work with Vector Databases for semantic search and retrieval systems
- Collaborate with engineering and product teams to implement AI-driven solutions
- Troubleshoot and optimize AI model performance and inference pipelines
- Stay updated with latest advancements in Generative AI and LLM technologies
Required Skills & Experience :
- 4-12 years of experience in GenAI / LLM development
- Strong hands-on expertise in Python programming
- Experience with LangChain, LlamaIndex, OpenAI, and RAG pipelines
- Strong understanding of Vector Databases and semantic search systems
- Experience in prompt engineering and fine-tuning AI models
- Knowledge of AI workflow optimization and automation
- Strong analytical and problem-solving skills
- Ability to work in fast-paced and innovation-driven environments
Preferred Candidate Profile :
- Experience in enterprise AI and automation projects
- Strong understanding of modern AI architectures and LLM ecosystems
- Passion for Generative AI and emerging technologies
- Excellent collaboration and communication skills
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