Lead AI Engineer / Data Scientist

Description

Summary: Seeking a Lead AI Engineer / Data Scientist to architect and build production-grade agentic solutions with LLMs and Python across enterprise tools, APIs, and data, enhancing conversational and automation workflows. Highlights: 1. Architect and build production-grade agentic solutions with LLMs and Python 2. Enhance chatbot and agent reliability, context handling, and response quality 3. Support AI evaluation, experimentation, and Responsible AI initiatives We are looking for a Lead AI Engineer / Data Scientist to architect MCP\-based agentic solutions with LLMs and Python across enterprise tools, APIs, and data. You will build production\-grade conversational and automation workflows by integrating MCP servers/tools and improving orchestration, reliability, and context flow. Apply now to help ship dependable AI agents at scale **Responsibilities** * Design and optimize MCP\-enabled AI agents and integrations * Develop AI workflows that connect LLMs with enterprise systems and tools * Enhance chatbot and agent reliability, context handling, and response quality * Collaborate with product, engineering, analytics, and cloud teams * Support AI evaluation, experimentation, and Responsible AI initiatives **Requirements** * Proven track record with 5\+ years of experience in AI Engineering * Hands\-on experience with LLMs and Agentic AI solutions using OpenAI APIs on Azure * Advanced proficiency in Python for building AI workflows, MCP integrations, and orchestration layers * Practical experience integrating AI agents with external systems, APIs, databases, and tools using MCP and function calling patterns * Strong background in designing and implementing MCP servers, tool schemas, and context\-sharing mechanisms between AI systems and enterprise platforms * Deep understanding of prompt engineering, context management, and multi\-step agent orchestration * Solid knowledge of hallucination prevention and evaluation techniques to improve reliability and response accuracy * Clear understanding of Responsible AI and compliance best practices, including governance, security, and ethical AI guidelines * Experience delivering NLP and Conversational AI systems in production environments * Demonstrated ability to troubleshoot AI agent workflows, tool integrations, and context synchronization issues across distributed systems * Familiarity with LiteLLM, RAG, and Function Calling * English proficiency at B2 (Upper\-Intermediate) level or higher