System Analyst Gen AI

Job Responsibilities

• Design, develop, and deploy AI applications using Large Language Models (LLMs).
• Build Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval and question-answering systems.
• Develop intelligent AI agents and multi-agent workflows using LangChain and LangGraph.
• Integrate AI applications with external tools, databases, and APIs using the Model Context Protocol (MCP).
• Develop backend services and AI automation solutions using Python.
• Design prompt engineering strategies to improve LLM performance and response quality.
• Implement vector databases, embeddings, semantic search, and document indexing for RAG solutions.
• Build and consume REST APIs to integrate AI services with enterprise applications.
• Optimize LLM applications for scalability, latency, accuracy, and cost efficiency.
• Perform data preprocessing, document ingestion, and knowledge base management.
• Collaborate with business stakeholders, data scientists, and software engineers to deliver AI-powered solutions.
• Conduct testing, debugging, monitoring, and performance tuning of AI applications.
• Follow secure AI development practices and maintain technical documentation.
• Participate in code reviews and implement CI/CD best practices for AI applications.