Chief AI Engineer / Data Scientist

Description

Summary: Seeking a Chief AI Engineer / Data Scientist to deliver enterprise-grade agentic AI solutions, architecting servers and integrations while raising reliability and Responsible AI standards. Highlights: 1. Design and optimize MCP-enabled AI agents and integrations 2. Develop AI workflows connecting LLMs with enterprise systems and tools 3. Enhance chatbot/agent reliability, context handling, and response quality We are building enterprise\-grade agentic AI and need a **Chief AI Engineer / Data Scientist** to deliver MCP\- and LLM\-driven solutions in Python. You will architect MCP servers and tool integrations across APIs, databases, and enterprise platforms while raising reliability, evaluation, and Responsible AI standards—apply now. **Responsibilities** * Design and optimize MCP\-enabled AI agents and integrations * Develop AI workflows that connect LLMs with enterprise systems and tools * Enhance chatbot/agent reliability, context handling, and response quality * Collaborate with product, engineering, analytics, and cloud teams * Support AI evaluation, experimentation, and Responsible AI initiatives **Requirements** * 7\+ years of experience in AI Engineering * Deep expertise in LLMs and Agentic AI solutions using OpenAI APIs on Azure * Advanced proficiency in Python for building AI workflows, MCP integrations, and orchestration layers * Hands\-on experience integrating AI agents with external systems, APIs, databases, and tools using MCP and function calling patterns * Solid background in designing and implementing MCP servers, tool schemas, and context\-sharing mechanisms between AI systems and enterprise platforms * Strong understanding of prompt engineering, context management, and multi\-step agent orchestration * Working knowledge of hallucination prevention and evaluation techniques to increase reliability and response accuracy * Clear understanding of Responsible AI and compliance best practices, including governance, security, and ethical AI guidelines * Hands\-on experience with 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