Source description
About the role
Client: Genpact | Engagement: Full-time | Work mode: HYBRID | Rate: 0-2500000 INR | Experience: 8-10 Years | Publisher job id: 93
Technical Skills: • Design and develop production-ready AI applications using Python and LLM frameworks • Implement and optimize RAG systems to enhance LLM capabilities with external knowledge sources • Build complex reasoning chains and agent workflows using LangChain and LangGraph • Create and maintain vector databases for efficient information retrieval • Develop custom tools and functions to extend LLM capabilities • Optimize prompt engineering strategies for improved model performance • Implement evaluation frameworks to measure and improve system performance • Collaborate with cross-functional teams to integrate AI solutions into existing products • Stay current with the latest advancements in LLM technologies and implementation strategies • Document code, architecture, and processes for knowledge sharing • Experience implementing complex workflows with LangGraph • Knowledge of prompt engineering techniques and best practices • Familiarity with different embedding models and their applications • Understanding of semantic search and information retrieval concepts • Experience with streaming architectures for real-time AI applications • Contributions to open-source LLM tooling or frameworks • Programming Languages: Python (required), JavaScript/TypeScript (beneficial) • LLM Frameworks: LangChain, LangGraph, Langsmith, LlamaIndex • Vector Databases: Weaviate, Chroma, FAISS, or similar • Cloud Services: Experience with AI services on major cloud platforms • API Development: FastAPI, Flask, or similar frameworks
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