Chief AI Engineer / Data Scientist
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
