Artificial Intelligence Engineer

• Design, develop, and deploy AI and GenAI solutions for business use cases
• Build and optimize LLM-based applications, AI agents, and multi-agent systems
• Develop RAG (Retrieval-Augmented Generation) solutions using enterprise data sources and knowledge repositories
• Integrate AI solutions with APIs, databases, business applications, and enterprise platforms
• Evaluate, fine-tune, and monitor AI models to ensure performance, accuracy, and reliability
• Implement Responsible AI, governance, security, and observability best practices
• Collaborate with Data Engineers, Data Scientists, and Product teams to operationalize AI solutions

• Strong proficiency in Python and API development
• Experience building applications with Large Language Models (LLMs) and Generative AI technologies
• Hands-on experience with AI Agents, Multi-Agent Systems, and RAG architectures
• Knowledge of vector databases, embeddings, semantic search, and knowledge retrieval
• Experience with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, or similar
• Familiarity with prompt engineering, model evaluation, and AI application monitoring
• Understanding of software engineering best practices, including Git, CI/CD, testing, and cloud-native architectures
• Knowledge of AI governance, security, privacy, and Responsible AI principles